Archive for April, 2005

622. SERVICE-LEARNING FOR DEPTH IN A FLUID WORLD

Thursday, April 28th, 2005

Folks:

The posting below looks at the role of service learning in the academic environment. It is from Chapter Five:, Service-Learning and the Problem of Depth, by Jim Ostrow in Public Work and the Academy: An Academic Administrator’s Guide to Civic Engagement and Service-Learning; Editors, Mark Langseth Minnesota Campus Compact and William M. Plater, Indiana University-Purdue University Indianapolis. Ankler Publishing Company, Inc. 176 Ballville Road P.O. Box 249 Bolton, MA 01740-0249 [www.ankerpub.com]. ISBN 1-882982-73-8 Copyright © 2004 by Anker Publishing Company, Inc. All rights reserved, Reprinted with permission.

Regards,

Rick Reis
reis@stanford.edu
UP NEXT: Merging Teaching and Research

Tomorrow’s Teaching and Learning

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SERVICE-LEARNING FOR DEPTH IN A FLUID WORLD

Jim Ostrow

My purpose above has been to lay the primary educational context within which my interest in and advocacy for service-learning is situated. It may seem odd that I have not yet focused on issues more typically considered in discussions of service-learning-such as advancing habits of social responsibility and citizenship, or rendering higher education relevant to local and global social problems. There is no doubt that the social-developmental and direct social benefits of service-learning are fundamental to understanding its significance in higher education-indeed, for rendering higher education relevant to the advancement of fairness, justice, and citizenship in a democracy, as suggested by Battistoni (2002); Eyler and Giles (1999); Jacoby and Associates (1996); Kenny, Simon, Kiley-Brabeck, and Lerner (2001); Zlotkowski (1998); and others in this volume. My intention is to strengthen rather than diminish the importance of these issues in higher education by establishing t!
heir inseparability from the problem of academic depth. I also believe coupling these social-developmental and societal issues with the problem of depth has strategic benefits for the promotion of service-learning to faculty.

Service-learning can be central to achieving great academic depth by extending the relevance of subject matter beyond the classroom and expectations of performance within it. The key term here is “relevance.” I do not mean to denigrate the classroom as a learning environment, but subject matter must matter as more than satisfying conditions specific to the classroom if it is to engage concentration and endure in a person’s perspective. Dewey (1916) argues against the reduction of subject matter to a “record of knowledge, independent of its place as an outcome of inquiry and a resource in further inquiry” (p. 187). This means the value of subject matter must stretch beyond the calls of the classroom and beyond the perceived temporal confines of a course. The very existence of the classroom and its various learning requirements and measurements must, to a certain degree, become transparent in students’ experience. An analogy is found in hi-fi audio. The degree to which m!
usic is heard purely as music has an inverse relationship to the degree to which the stereo equipment, and even the walls around the equipment, are visible in experience. Similarly, the degree to which subject matter exists in its original form as a field of inquiry and discovery is related inversely to the opacity of the classroom apparatus and the measurements students receive within it. Learning with depth is founded in principle, then, on its extension beyond the classroom.

Community service-learning projects are perfect vehicles for such an extension, rendering the educational apparatus transparent in favor of the discovering processes inherent in academic subjects. It is true that establishing the value and relevance of subject matter beyond the classroom is possible through other types of pedagogical methods as well. The difference with service-learning is the possibility of developing an active concern for the social problems of the day, as well as an enduring, habitual sense of effective positive change in the world, within the context of exercising an academic imagination. This distinction, it seems to me, gets to the heart of what academic leaders can advocate for their institutions-service-learning as an opportunity to perpetuate the value of academic subject matter for understanding and for improving the human environment.

In 1927, Dewey wrote that many Americans suffer from the social pathology of a “riotous glorification of things ‘as they are,’” arising out of a fear of facing with creative reason a whirlwind-changing world, a pathology that “works powerfully against effective inquiry into social institutions and conditions” (p. 170). A test- or grade-driven, take-it-in, prove-you-know-it, and-move-on-to-something-else approach to subject matter is a key education building block for this pathology. When knowledge is framed as something one receives, holds, and then releases, the message to students is that all knowledge is preexisting. The world needing to be known is as it is, and no more. We thereby train a populace that could not be more ill-equipped for an active responsiveness to a fluid, constantly changing world.

Projects involving students in direct service to others or the improvement of communities, combines with rigorous processes of reflection, can be effective in generating students’ sense of the power of disciplinary and interdisciplinary ideas and methods. Through this process, they can combat the pervasive, if unwitting, presupposition in contemporary education of a static, unchanging world. Eyler and Giles’s (1999) study of the educative outcomes of service-learning is a good resource for making the argument for depth of contact with subject matter through service-learning. The authors make the crucial distinction between education understood as “acquiring factual information and demonstrating it on final exams [and the] deeper understanding and application” (p. 63) that occurs through service-learning. There are no grounds for claiming that service-learning has any advantage over didactic instruction in learning as measured by test results or course grades, but there i!
s plenty of evidence to suggest that students are more richly involved in subject matter as an active process of discovery through service-learning.

[Students] had a deeper, more complex understanding of the issues and felt more confident using what they were learning. Service made the subject matter come to life and put them inside the subject matter rather than outside, as abstract, disinterested observers. (Eyler & Giles, 1999, p. 70)

Another important point made by Eyler and Giles is the lasting power of subject matter, realized through the service-learning student’s disposition to understand and solve real problems:

The student who is trying to solve a real problem with real consequences sees the need to look up one more case, to understand just how a similar policy failed elsewhere, to learn a new technique for dealing with a child’s reading problem. Genuine problems provide the most powerful need to know and are thus motivating for many students. (p. 91)

These dispositions are not acquired through service alone, but through academically charged reflection induced through instructor intervention. Take the following example of anger and frustration expressed by one of my past sociology students serving dinner in a local church food program:

I heard one of the children say, “Mom, where are we going to sleep tonight?” The mother’s voice was quiet, but as I walked I strained to hear her response, “We’ll find somewhere, we always do.” I clenched my grip around the apple carton. I became so angry, I felt like throwing the box on the floorŠI wanted to invite all of these people back to [the college] and give them a place to stay. I wanted to do so much but in reality all I could do was pass out apples, and try to get to know and understand them. I was starting to understand.

While not in itself informed by sociological investigation and analysis, this written grasp of an emotionally intense moment provides the platform for investigating the meaning of this situation and employing the tools of sociology toward social change. The student’s insight into the limits of volunteerism as a response to the problem of homelessness is perfect grounds for seeking to comprehend homelessness and its causes. It is also grounds for inquiry into the experience of homelessness and existing social attitudes. The student now perceives homeless individuals as being underserved, disadvantaged, as opposed to being necessarily lazy, or in some other way flawed in their character. What, then, leads to the latter opinions of the homeless, and what do these views mean for homeless persons in their everyday lives? There is, in short, more for the student to do than pass out apples: Sociology provides the vehicle for broader and deeper understanding, inquiries that might lead to solutions.

621. TRANSFORMATIVE LEARNING THEORY

Tuesday, April 26th, 2005

Folks:

The posting below gives a brief summary of transformative learning theory, an important educational development of the last decade. It is from CHAPTER 4: Evidence of the Transformational Dimensions of the Scholarship of Teaching and Learning: Faculty Development Through the Eyes of SoTL Scholars, by Connie M. Schroeder, University of Wisconsin-Milwaukee, in To Improve the Academy, Resources for Faculty, Instructional, and Organizational Development, Sandra Chadwick-Blossey, editor, Rollins College and Douglas Reimondo Robertson, associate editor, Eastern Kentucky University.

Copyright © 2005 by Anker Publishing Company, Inc. All rights reserved. ISBN 1-882982-76-2
Anker Publishing Company, Inc. P.O. Box 249 Bolton, MA 01740-0249 USA [www.ankerpub.com].

Regards,

Rick Reis
reis@stanford.edu
UP NEXT: Service-Learning for Depth in a Fluid World

Tomorrow’s Teaching and Learning

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TRANSFORMATIVE LEARNING THEORY

Transformative learning was introduced by Mezirow (1997) as a change process that transforms frames of reference (Imel, 1998). His theory defines frames of reference as “the structures of assumptions through which we understand our experiences. They selectively shape and delimit expectations, perceptions, cognition, and feelings” (Mezirow, 1997, p. 5). According to this view, “actions and behaviors will be changed based on the changed perspective (Cranton, 1994, p. 730).

Several key elements of the transformational learning process are cited frequently in the literature. Initially, a disorienting dilemma, or “an activating even that typically exposes a discrepancy between what a person has always assumed to be true and what has just been experienced, heard or read” (Cranton, 2002, p. 66) and may contribute to a readiness for change (Taylor, 2000). Cranton (2002) describes this as a “catalyst for transformation” (p. 66). It could be a single event or a series of events that occur over a much longer period as in “an accretion of transformation in points of view” (Mezirow, 1997, p. 7). For example, engaging in problem solving may challenge and expose discrepancies (Mezirow, 1997; Taylor, 2000).

The literature highlights the central importance of cultivating a process of critical reflection with certain key elements (Mezirow, 1991; Sokol & Cranton, 1998). “Critical reflection is the means by which we work through beliefs and assumptions, assessing their validity in the light of new experiences or knowledge, considering their sources, and examining underlying premises” (Cranton, 2002, p. 65). Cranton (1994) explains, “Transformative learning theory leads us to view learning as a process of becoming aware of one’s assumptions and revising these assumptions” (p. 730). Cranton (1994) simply states, “If basic assumptions are not challenged, change will not take place” (p. 739), and elaborates that we are more likely to have sets of assumptions that guide teaching practices. Sokol and Cranton (1998) further explain, “As transformative learners, they question their perspectives, open up new ways of looking at their practice, revise their views, and act based on new per!
spectives” (p. 14). Mezirow (1997) cautions, “learners need practice in recognizing frames of reference and using their imaginations to redefine problems from a different perspective” (p. 10). Several authors point out the necessity of making the time necessary for critical reflection (Pohland & Bova, 2000).

In addition to critical reflection that challenges assumptions, transformative learning calls for a trusting, social context for the dialogue referred to as reflective discourse (Mezirow, 2000) or critical discourse (Grabove, 1997). Cranton (1994) argues that the most promising transformative learning potential in faculty development work is long-term work with others, including “a group of faculty genuinely interested in teaching” (p. 735). Taylor (2000) found that the key ingredient most common in the process of transformational learning was the context of relationships. Imel (1998) concurs with the importance to establishing a community among learners.

Several sources emphasize individual agency; learners having their own design (Taylor, 2000); autonomous thinking; and control and choice (Grabove, 1997; Mezirow, 1997). Mezirow (1997) suggests that the educator serve as a facilitator or provocateur, in order to foster the self-direction and control needed for transformative learning. The role of the educator or faculty developer in transformative learning processes changes from that of a directive expert by shifting power, responsibility, and decision-making to the faculty (Cranton, 1994). Robertson (1997) writes extensively on the importance of creating a helper relationship. According to Baumgartner (2001), action on the new perspective, as in “living the new perspective” (p. 17), is critical for transformative learning to occur.

As opposed to the elements critical for the process of transformative learning, the outcomes indicative of transformation may include Cranton’s (1992) framework of three types of change: change in assumptions, change in perspective, and change in behavior. Boyd (1989) claims an outcome of transformative learning includes a change in self.

Mezirow’s theory and ideas have been expanded upon by several theorists in order to address his emphasis on the rational and linear aspects of transformation (Boyd, 1991; Grabove, 1997; Robertson, 1997). Baumgartner (2001) argues that “transformational learning is a complex process involving thoughts and feelings (p. 18), and compares Dirkx’s (1998) extra-rational emphasis in which transformation involves soul-based learning that is not constrained by rational and cognitive learning. Grabove (1997) further emphasizes the potential for integration of self and other, renewal and rebirth as themes indicative of the nonrational dimensions of transformative learning. She suggests the transformative learner “moves in and out of the cognitive and the intuitive, of the rational and the imaginative, of the subjective and the objective, of the personal and the social” (Gabrove, 1997, p. 95).

We might ask ourselves as faculty development professionals, do we offer programs that incorporate the processes that enable deeper understanding, discovery, or transformative change? Are we aiming for increasing knowledge and skills as primary program outcomes, but falling short of creating opportunities in which faculty can critically reflect, reconceptualize, and engage in soul learning? Wouldn’t it make sense to imagine that at some point, in some faculty members’ careers, they will seek deeper understanding and affective as well as cognitive transformation? Are we considering how, and are we willing to offer a palette of opportunities that include a broader array of learning and development? Though time and budgetary resources are stretched, must we provide only the most popular programs, and not venture into opportunities that may promise a different kind of development? Certainly not all faculty at all points in their careers would have the interest or time to in!
vest in transformative change programs and, given time constraints, may prefer brief exposure to new techniques in order to improve their teaching. But the question facing faculty developers is not necessarily how to appeal to the masses, but rather, how to offer a diverse array of opportunities for improving teaching and learning that meet the needs of faculty at a variety of levels of involvement and development. What type of programs produce this type of transformation, and how would we determine evidence of transformation?

This empirical analysis of a SoTL, program examines the experience of SoTL from the scholars’ perspectives, in light of the theoretical literature on the process and outcomes of transformation. Looking at evidence of transformative learning through SoTL may help us to consider investing in programs soundly linked to individual change and which may better prepare faculty to advance sustained departmental and structural changes in teaching and learning that have not been able to occur in higher education (Lazerson, Wagener, & Shumanis, 2000). Perhaps we have been selling learning and change short by investing in quick fixes in our faculty development efforts. In order to transform not only teaching and learning, but institutions and their structures, have we considered the value of transforming individuals, or individuals transforming themselves?

References

Baumgartner, L.M. (2001). An update on transformational learning. In S.B. Merriam (Ed.), New directions for adult and continuing education: No. 89. The new update on adult learning theory (pp. 15-24). San Francisco, CA: Jossey-Bass.
Boyd, R.D. (1989). Facilitating personal transformation in small groups, Part I. Small Group Behavior, 20(4), 459-474.
Boyd, R.D. (1991). Personal transformation in small groups: A Jungian perspective. London, England: Routledge.
Cranton, P. (1992). Working with adult learners. Toronto, Ontario: Wall & Emerson.
Cranton, P. (1994, November/December). Self-directed and transformative instructional development. Journal of Higher Education, 65(6), 726-744.
Cranton, P. (2002, Spring). Teaching for transformation. In J.M. Ross-Gordon (Ed.), New directions for adult and continuing education: No. 93. Contemporary viewpoints on teaching adults effectively (pp. 63-71). San Francisco, CA: Jossey-Bass.
Dirkx, J.M. (1998). Tranformative learning theory in the practice of adult education: An overview. PAACE Journal of Lifelong Learning, 7, 1-14.
Grabove, V. (1997, Summer). The many facets of transformative learning theory and practice. In P. Cranton (Ed.), New directions for adult and continuing education: No. 74. Transformative learning in action: Insights from practice (pp. 89-95). San Francisco, CA: Jossey-Bass.
Imel, S. (1998). Transformative learning in adulthood. Washington, D.C.: Office of Educational Research and Improvement. (ERIC Document Reproduction Service No. ED42326). Retrieved April 29, 2004, from http://www.cete.org/acve/docgen. asp?tbl=digest&ID=53
Lazerson, M., Wagener, U., & Shumanic, N. (2000, May/June). Teaching and learning in higher education, 1980-2000. Change, 56(3), 300-319.
Mezirow, J. (1991). Transformative dimensions in adult learning. San Francisco: Jossey-Bass.
Mezirow, J. (1997, Summer). Transformative learning: Theory to practice. In P. Cranton (Ed.), New directions for adult and continuing education: No. 74. Transformative learning in action: Insights from practice (pp. 5-12). San Francisco, CA: Jossey-Bass.
Mezirow, J. (2000). Learning to think like an adult: Core concepts of transformation theory. In J. Mezirow & Associates (Eds.), Learning as transformation: Critical perspectives on a theory in progress (pp. 3-34). San Francisco, CA: Jossey-Bass.
Pohland, P., & Bova, B. (2000). Professional development as transformational learning. International Journal of Leadership in Education, 3(2), 137-150.
Robertson, D.L. (1997). Transformative learning and transition theory: Toward developing the ability to facilitate insight. Journal on Excellence in College Teaching, 8(1), 105-125.
Sokol, A., & Cranton, P. (1998, Spring). Transforming, not training. Adult Learning, 9(3), 14-17.
Taylor, E.W. (2000). Analyzing research on transformative learning theory. In J. Mezirow & Associates (Eds.), Learning as transformation: Critical perspectives on a theory in progress (pp. 29-310). San Francisco, CA: Jossey-Bass.

620. ON CAMPUS LEADERSHIP LOUD AND CLEAR

Thursday, April 21st, 2005

Folks:

The posting below looks at an innovative program at the University of Utah designed to help engineering students communicate more effectively. It is from the October, 2004 issues of ASEE Prism, Volume 14, Number 2. . Copyright © 2004 ASEE, all rights reserved. Reprinted with permission.

Regards,

Rick Reis
reis@stanford.edu
UP NEXT: Transformative Learning Theory

Tomorrow’s Teaching and Learning

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ON CAMPUS LEADERSHIP LOUD AND CLEAR

By Robert Gardner

A COMMUNICATIONS SKILLS CENTER AT THE UNIVERSITY OF UTAH IS PRIMING ENGINEERING UNDERGRADUATES TO BECOME LEADERS IN THE WORKPLACE.

Most engineering schools have programs in place to help students improve their communications skills. Unfortunately, many of these programs require additional classes in an already packed curriculum and do not engage students until their senior year, when they are on the verge of graduation. The Center for Engineering Leadership at the University of Utah is unique in that it engages students in their freshman year. “We work with engineering faculty,” Director April Kedrowicz says, “in students’ core classes-[of which there is] one required course at every level, freshman through senior-and develop their writing, speaking, and team skills.”

The “we” is a staff of twelve humanities graduate student “consultants” who help students with oral presentation, writing skills, and the dynamics of working as a team. “They do a lot of behind the scenes work,” Kedrowicz says. This behind-the-scenes work includes meeting with teaching assistants and faculty members to better integrate communication skills instruction into the curriculum. They also lecture in the engineering classes on “presentation techniques, persuasion, and the dynamics of teamwork.”

The center prepares students with communications and teamwork skills needed to lead, but also makes them aware of ethical issues. This is especially important in engineering, a field with the potential to seriously impact public safety. The center offers a general education elective in applied ethics that is taught by a philosophy professor and features professional engineers from companies such as Dupont, Bard Access, and QuartzDyne as guest lecturers. Although the course is not required, “students are strongly encouraged to take it by their advisers,” Kedrowicz says.

The program’s origins date back seven years to when mechanical engineering professor Robert Roemer approached Ann Darling and Maureen Mathison of Utah’s department of communication. Roemer was looking for help for his engineering students, who were having difficulty presenting professional documents and making presentations. Kedrowicz, as a communications Ph.D. candidate, worked helping engineering students in the system this triumvirate set up. Last year, the Center for Engineering leadership was set up with a $1.1 million, five-year grant from the William and Flora Hewlett Foundation, established in honor of Hewlett Packard Company co-founder William Hewlett and his wife.

The center currently works with five of the seven engineering departments at Utah: mechanical, chemical, civil engineering, bioengineering, and electrical and computer. Kedrowicz says student reaction to the program has generally been positive, though she admits freshman and sophomores tend not to see the relevance of communication skills as they study electrical circuits, trusses, or organic molecules. “But by their junior year,” Kedrowicz says, “they have begun to see why these skills are important.”

Robert Gardner is Associate Editor of Prism Magazine.

619. BUILDING PEDAGOGICAL INTELLIGENCE

Tuesday, April 19th, 2005

Folks:

The posting below, by Pat Hutchings, vice president of the Carnegie Foundation for the Advancement of Teaching looks at how give students more guidance in their evaluations of faculty teaching. It is #13 in the monthly series called Carnegie Foundation Perspectives. These short commentaries exploring various educational issues are produced by the Carnegie Foundation for the Advancement of Teaching . The Foundation invites your response at: CarnegiePresident@carnegiefoundation.org. Reprinted with permission

Regards,

Rick Reis
reis@stanford.edu
UP NEXT: On Campus: Leadership Loud and Clear

Tomorrow’s Teaching and Learning

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BUILDING PEDAGOGICAL INTELLIGENCE

By Pat Hutchings
January, 2005

It’s hard to find a campus today that doesn’t collect student evaluations of teaching. Not everyone, it’s true, puts full stock in the results, but it’s hard to argue with the idea that students have important perspectives to contribute. On the other hand, it strikes me that listening to students is a good idea that doesn’t go far enough. With student ratings of teaching almost ubiquitous, why not take the process up a notch by giving students some guidance about what to look for?

Some years back, I heard about a promising step in this direction that has stuck with me ever since. In the late 1970s, Carleton College implemented something called the Student Observer Program. Any Carleton faculty member could (and still can) ask for a student observer to sit in on her or his classes, usually for the entire term. Students not only receive training about what to look for in an effective classroom, they also have a powerful opportunity to reflect on the process of teaching and learning. And we know that learners who are self-conscious about that process tend to be more successful.

A different approach has emerged at Western Washington University (WWU). Wanting to involve students in a campus initiative on the scholarship of teaching and learning, WWU developed a course in which students study the learning process and the conditions under which learning-their own, that is-is most likely to occur. Some 200 students have now taken the course (which has evolved over the several quarters it has been offered), becoming, as a consequence, much more active contributors to campus discussion about how to improve the educational experience.

Some may worry that giving students a bigger voice adds fuel to the fire of consumerism. Students may know what they want, the argument goes, but faculty members know what they need, and have, after all, a responsibility to maintain the integrity of the educational process. But that’s just the point. Part of a faculty’s responsibility should be to let students in on the tricks and truths of the learning trade. Thanks to several decades of educational innovation and research, much more is now known about how learning occurs and what works in the classroom. It’s time to start sharing that knowledge with students. Doing so-as at Carleton and Western Washington-would make students better contributors to the improvement of teaching by raising the quality of the feedback they can offer.

More important, having a voice in matters pedagogical would make students better learners. It’s easy for those of us in “the business” to forget that getting educated isn’t easy. Just jumping through the hoops is not enough. Students need to be able to make connections between what is learned in very different, and typically unconnected, settings. And to do this they need to be able to step back and see what their efforts add up to, to take stock both of what they have learned and what it will take to get to a next level of understanding. In a word, they need to be agents of their own learning.

As a faculty member for many years, I saw first hand how difficult it is for students to reflect on and assess their own experiences as learners, to get past the idea of learning as something that happens to them (or not), to see their education as something they can create and control. But when teachers continue to create opportunities for such self-assessment, students get better at identifying and seeking out what they need to advance their knowledge and abilities. In short, we can help students get smarter about what it takes to get smarter.

The notion of multiple intelligences has had wide play for more than a decade. Howard Gardner postulates a whole set of them: linguistic, musical, logical-mathematical, spatial, body-kinesthetic, and personal intelligences. Daniel Goleman has popularized the idea of an emotional intelligence. The word “intelligence” invites some misunderstandings since it seems to suggest traits that are inherited and static. But the idea that multiple capacities and dispositions are both possible and, indeed, necessary to function effectively in the world is a right one, and I would propose that we need yet another as well. Let us call it a “pedagogical intelligence”-an understanding about how learning happens, and a disposition and capacity to shape one’s own learning. Whatever the term, it is something that is increasingly needed today as the world becomes more complicated, as boundaries of all kinds shift, and as change becomes a constant expectation.

This is not to suggest that Econ 101 or 19th Century American Lit be turned into occasions to obsess about the learning process. But the disposition to be thoughtful about one’s own learning, to be an active agent of learning, to find and even to design experiences in which learning is advanced-these are goals that should be central to undergraduate education. And the good news is that once students get a taste for these goals, there’s no going back. “I had a class where we studied how we learn,” says Erik Skogsberg, a student in the course at Western Washington University. “It flipped a switch, and once it’s flipped it can’t be turned off.”

There is more than one way to induce a disposition to be reflective about how learning occurs. A great place to start-one just begging to be used more effectively-is with the questions students are asked to address on course evaluation forms. A handful of provocative questions, and the discussions that can be had around them, just might be the beginning of a “pedagogical intelligence” that deepens learning through college and beyond.

For information on the Carleton College Student Observer Program, see: http://webapps.acs.carleton.edu/campus/ltc/

For information about student involvement in the scholarship of teaching and learning at Western Washington University, see: http://www.wwu.edu/depts/tla/

For information on Carnegie’s Integrative Learning Project, see: http://www.carnegiefoundation.org/IntegrativeLearning/

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Carnegie Perspectives is a series of commentaries that explore different ways to think about educational issues. These pieces are presented with the hope that they contribute to the conversation. You can respond directly to the author at CarnegiePresident@carnegiefoundation.org or you can join a public discussion at Carnegie Conversations.

Join the Carnegie Perspectives email list by sending an email to CarnegiePresident@carnegiefoundation.org with “Subscribe” as the subject line.

618. WHY DO STUDENTS ATTEND MULTIPLE INSTITUTIONS?

Thursday, April 14th, 2005

Folks:

The posting below looks at the reasons for an increase in the phenomenon of taking classes at more than one institution. It is from Chapter 2, Swirling and Double-Dipping: New Patterns of Student Attendance and Their Implications for Higher Education, by Alexander C. McCormick in: Changing Student Attendance Patterns Challenges for Policy and Practice by Jacqueline E. King, Eugene L. Anderson and Melanie Corrigan, all of the American Council on Education. It is part of the series, New Directions for Higher Education, Number 121, Spring 2003, Jossey-Bass, San Francisco Copyright © 2003 Wiley Periodicals, Inc.,A Wiley company. ISSN 0271-0560 electronic ISSN 1536-0741 [www.josseybass.com] Reprinted with permission.

Regards,

Rick Reis
reis@stanford.edu
UP NEXT: Building Pedagogical Intelligence

Tomorrow’s Academy

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WHY DO STUDENTS ATTEND MULTIPLE INSTITUTIONS?

Recent years have seen an upsurge in the proportion of students who attend more than one institution. The most familiar form of multiple attendance is one-way transfer; that is, a student completes at least one semester and usually no more than two years of full-time course work (or the equivalent) at one institution-be it a two-year or a four-year institution-and then leaves to complete the degree at a second institution. But there are other patterns of multiple attendance too. Some authors have dubbed them swirling (back-and-forth enrollment among two or more institutions) and double-dipping (concurrent attendance at two institutions) (de los Santos and Wright, 1990; Gose, 1995). Some swirling and double-dipping students transfer but others do not; the home institution awards credit for course work completed elsewhere.

Expanding on these notions of swirling and double-dipping, we can hypothesize several possible patterns, many of which emerge from anecdotal accounts:

* Trial enrollment. Students experiment with the possibility of transfer to another institution.

* Special program enrollment. Students do most course work at the home institution but also take advantage of unique programs offered by others. Examples include University of Pittsburgh’s Semester at Sea, American University’s Washington Semester, and Arcadia University’s study abroad programs. (According to the Web site of Arcadia University (formerly Beaver College), its more than sixty programs serve eighteen hundred students from 200 colleges and universities (http://www.arcadia.edu/cea/); American University claims that some four hundred students from over 150 institutions participate in its Washington Semester (http://www.american.edu/washintonsemester/).

*Supplemental enrollment. Students enroll at another institution for one or two terms to supplement or accelerate their program. Doing so enables students to take courses not available at the home institution, reduce expenses by enrolling where costs are lower, or make up for a shortfall in credits by enrolling during the summer. Or, there may be purely strategic reasons-for example, a student fearful of earning a low grade in a required course might complete the course elsewhere; this usually excludes the grade from the transcript and GPA calculations.

* Rebounding enrollment (a variation on supplemental or rebounding enrollment). Students take courses at two institutions simultaneously. In addition to the reasons already noted, students may choose concurrent enrollment to expand course availability or scheduling. (In 1995, the Chronicle of Higher Education reported that 30 percent of undergraduates at the University of Nevada at Reno and at Arizona State University were simultaneously taking community college courses [Gose, 1995].)

* Consolidated enrollment. The degree “program” comprises a collection of courses taken at any number of institutions. In this model, students satisfy the awarding institution’s residency and other requirements, but a substantial share of their credits come from at least two other institutions.

* Serial transfer. Students make one or more intermediate transfers-including reverse transfer from a four-year to a two-year institution-on the way to a final transfer destination. (Serial transfer may be a special case of consolidated enrollment, in which the student follows a relatively linear pattern from one institution to the next.)

* Independent enrollment. Students pursue work that is unrelated to their degree program and no credits are transferred (for example, earning computer network certification, a real estate license, or other nondegree, often noncredit work).

Many of these categories can be further subdivided by type of institution attended or number of credits involved. Identifying these and possibly other patterns will require careful analysis of enrollment histories, ideally from transcripts, in order to trace the movement of credits between institutions. Aldeman (1999a) has taken some initial steps in this direction by identifying and classifying various combinations of institutions attended by students. In his analysis of postsecondary transcripts of 1982 high school graduates, he found that 16 percent of those attending postsecondary institutions followed patterns described here as rebounding or concurrent enrollment, noting that they often combine enrollment at two-year and four-year institutions. These are good first steps, but much remains to be done. The postsecondary transcript data from the National Educational Longitudinal Study (NELS), consisting of 1992 high school graduates, is a promising source for extendin!
g and elaborating this type of analysis with more recent data.

References

Adelman, C. Answers in the Tool Box: Academic Intensity, Attendance Patterns, and Bachelor’s Degree Attainment. Washington, D.C.: US Department of Education, Office of Educational Research and Improvement, 1999a.
de los Santos, A., Jr., and Wright, 1. “Maricopa’s Swirling Students: Earning One-Third of Arizona State’s Bachelor’s Degrees.” Community, Technical, and Junior College Journal, 1990, 60(6), 32-34.
Gose, B. “Double Dippers.” Chronicle of Higher Education, August

617. SUFFICIENT TIME FOR RESEARCH

Tuesday, April 12th, 2005

Folks:

The posting below give some excellent suggestions on how faculty can develop more time for research. It is from Chapter 10, Sufficient Time for Research, in The Research-Productive Department: Strategies From Departments That Excel by Carol J. Bland, Anne Marie Weber-Main, Sharon Marie Lund, and Deborah A. Finstad of the University of Minnesota. Published by Anker Publishing Company, Inc.Bolton, Massachusetts. Copyright © 2005 by Anker Publishing Company, Inc. All rights reserved. ISBN 1-882982-74-6 Anker Publishing Company, Inc. P.O. Box 249 Bolton, MA 01740-0249 USA [www.ankerpub.com]. Reprinted with permission.

Regards,

Rick Reis
reis@stanford.edu
UP NEXT: Why Do Students Attend Multiple Institutions?

Tomorrow’s Research

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SUFFICIENT TIME FOR RESEARCH

How Do Faculty in These Departments Maximize Their Research Time?

“Maintaining the balance between teaching and research is one of the great challenges in a research university,” noted Gladfelter (Chemistry). In our study, the most frequently cited strategies for optimizing the quantity and quality of faculty members’ research time were as follows:

* Make the most of summers.
* Buy additional research time.
* Stack courses.
* Take advantage of protected time (new faculty).
* Take advantage of sabbaticals and semester leaves (midcareer and senior faculty).

Make the most of summers.

In many of the departments in our study, faculty hold nine-month appointments. Consequently, their faculty tend to take advantage of the summer months to heavily engage themselves in research pursuits. “Faculty don’t get paid in the summer, but I expect them to be doing research,” said Bates (Chemical Engineering and Materials Science). “Some go away and continue to do work elsewhere, but not too commonly. Most of us take summer salary out of our grants, so we’re still paid. Not everyone can manage all of that, the whole summer, but certainly many do.” In Cultural Studies and Comparative Literature, very few faculty members teach in the summer. “There’s some financial sacrifice here,” acknowledged Leppert, “but as soon as people get enough ahead, they use the summer to write.” The Law School has a competitive grant program for faculty to help fund their summer research. These awards specifically cannot be used for course development and are preferentially awarded to!
projects that will ultimately result in publication.

Buy additional research time.

Many (though not all) departments have formulas for determining how faculty who acquire external grants can buy out of teaching and/or service. For example in Psychology (Twin Cities campus), it takes 12.5% of a faculty member’s nine-month salary to buy out of a typical course. In the biology department, they ask faculty to replace what it would cost to hire an instructor to teach their course, which usually turns out to be less than what a month’s salary would be. Leupker (Epidomology) reported that his department has “a very explicit system” for determining funding based on the time faculty devote to particular tasks:

You get paid 7.5% for every credit you teachŠAnd I pay people 5% to be a director of graduate studies, to be major chair, to run the seminars, things like that. That’s how I divide up the state money and tuition. The rest has to come from research.

Stack courses.

Collins (General College) used the term “stacking courses,” whereby faculty can condense their teaching load in order to free up a future semester exclusively for research. Many faculty members go this route, teaching their eight courses over four semesters in blocks of three, two, three, and zero. Faculty in Cultural Studies and Comparative Literature often try to cluster their teaching into two days a week. Although this can make room scheduling a challenge, the Chair said his faculty find it well worth the effort to have uninterrupted time to focus on teaching and other days specifically allocated to research.

Take advantage of protected time (new faculty).

Nearly all the departments in our study make special time arrangements to help new faculty successfully kick off their research programs. Here are some examples that emerged from our interviews:

* “In the first couple of years new [Psychology, Twin Cities] faculty are not given any committee assignments. Then it is modest up until they get tenure.”

* “In General College, the tenure-track faculty have the equivalent of a year’s release from teaching during the probation period.”

* “It’s been a tradition in this department [Biology], especially with new assistant professors, that we give them a reduced teaching load in the first year they are here. We also reduce their service loadŠWe don’t have them advise any undergraduate students during enrollment periods for their first year, and then we give them a reduced number of undergraduates to advise for the next two years.”

The largest proportion of teaching release time is given to Nursing faculty in their last year. This is helpful, but “off-timed,” according to Bearinger: “In the first year, you are so worried about walking into a class and embarrassing yourself if you are unprepared. You are working on getting together your syllabi, your lectures, and everything.”

Take advantage of sabbaticals and leaves (midcareer and senior faculty).

Among the most traditional strategies for facilitating the research productivity of midcareer and senior faculty are sabbaticals and leaves. Not surprisingly, faculty in these highly research-productive departments are often encouraged to take advantage of these opportunities for intense research activity. Leppert (Cultural Studies and Comparative Literature) said, “We spend a lot of time helping one another to develop research proposals. Consequently, we have a very high success rate on both the single-quarter leave and on the sabbatical supplement.”

Gladfelter (Chemistry) said that he advocates as many people going on sabbaticals and leaves as possible. “We can do that because there’s a reasonable community of people around the Twin Cities who make their living by working at these temporary teaching positions in chemistry,” he explained. Of course, not all disciplines have this luxury. The heads and chairs of particularly small departments noted that while sabbaticals and leaves can increase the research productivity and vitality of the faculty member taking the leave, the effects of such a leave can be hard on the faculty who remain. The inherent benefits and challenges regarding sabbaticals and other career development practices are described more fully in Chapter 12.

In Today’s Academic Climate, Do Faculty Have Enough Time for Their Scholarly Pursuits?

“There is always too little time,” said Ben-Ner (Industrial Relations), echoing a common lament of the interviewed department heads. This lack of time applies to the full range of faculty roles, but particularly to for research-related activities. Consider the following representative comments from our interviews:

* “The one major barrier for most of us is time. The pressure of teaching and the pressure of committee work and administration is simply greater than it ought to be.” (Psychology, Morris)

* Most people’s perception is they don’t have any periods of uninterrupted time [to do research], much less significant amounts of time.” (Ecology, Evolution, and Human Behavior)

* I never have 40% of my time for research. Part of it is my fault, because I let teaching go overboard. Teaching is interesting and very dangerous in some ways, because it can be so rewarding that you end up spending most of your time doing thatŠThere is never a time I feel I am ready. Still, [sometimes] you need to say, ‘okay, this is my research time.” (Philosophy)

Sterner (Ecology, Evolution, and Human Behavior) shared his view of how the faculty time crunch affects not only the quantity of research that is conducted, but also the quality:

I sense a slippage in the care that people are taking with their research under the pressure to keep publishing and getting grants and cranking out students. If I’m facing the decision to go back and do this experiment again because I have this little nagging doubt, but it’s going to take three months, I better not do that. More and more, people are making the decision just to keep blasting ahead at full speed-for their own productivity and reputationŠto get their next grant or another paper on the record, whatever. Just to crank out lots of stuff is pretty intense. The faculty aren’t always able to devote the time needed to get the job done right. They’re stretched to the limit.

In summary, it is essential that faculty have significant uninterrupted time to be highly research productive and, perhaps more important, to produce high-quality research. Getting this time is seen as increasingly difficult. As a result, department have become very creative in helping faculty optimally arrange their obligations and in differentiating faculty roles to allow faculty to focus on the job tasks at which they most excel and that they most enjoy. These strategies are helpful. But, as the roles of faculty become less similar and faculty have less in common due to their differentiated roles, leaders will need to increase their efforts to maintain a cohesive community, a research-conducive culture, and a positive climate.

616. CONTESTS MOTIVATE TOP STUDENTS IN LARGE CLASSES

Thursday, April 7th, 2005

Folks:

The posting below looks at an innovative way to challenge the best students in a class without leaving those at the low end behind. It is from an article by Dawn Levy about award winning computer science professor Eric Roberts’ work with student contests. It appeared in the December 3, 2004 issue of the Stanford Report. http://news-service.stanford.edu/ Reprinted with permission.

Regards,

Rick Reis
reis@stanford.edu
UP NEXT: The Research Productive Department

Tomorrow’s Teaching and Learning

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CONTESTS MOTIVATE TOP STUDENTS IN LARGE CLASSES

Eric Roberts tackles neglected issue of motivating elite students through recognition, camaraderie, teaching opportunities.

Roberts provides ample opportunities for his students to earn extra-credit through contests that usually entice about 10 percent of a given class to enter. Work is judged for categories including “best algorithm” and “best aesthetics.” Past winners have programmed adventure games and created computer animations.

Eric Roberts is the principal architect of what was for many years the largest course at Stanford-Computer Science 106A, an introductory programming class with an enrollment that waxes and wanes with the NASDAQ. In a fat year, 1,000 students may enroll, with more than 400 students in a single class. How professors can encourage top scholars in large classes was the topic of Roberts’ “Award-Winning Teachers on Teaching” talk Nov. 18 in Building 460.

“How do you manage in a large course not completely snowing the people on the low end of the scale or boring silly the people on the high end of the scale?” asked Roberts, the John A. and Cynthia Fry Gunn University Fellow in Undergraduate Education.

Only 6 percent of Roberts’ introductory students end up majoring in computer science. Many major in other engineering disciplines, and almost 20 percent major in social sciences or humanities. “It’s a wide spectrum, and I wanted to encourage those people to be in that class,” Roberts said. “It was one of the signature aspects of the Stanford curriculum that we tried to keep an introductory computer science sequence that really did have broad appeal.”

Success in such classes means supporting students every step of the way so they can do well, Roberts said. It also means setting a high bar. “One of the difficulties in a large class is if you decide that you’re going to curve it rigidly, you’ve forced it into a mode where many people are going to be unhappy,” he said. Roberts favors a grading system that rewards those who meet clearly delineated objectives-no matter how many students meet those objectives. “If everybody does enough work to get an A, then everybody will in fact get an A.”

That’s a big incentive to do well. Further, superlative work in Roberts’ classes has earned A+ and even A++ marks. (The latter designates work that “exceeds all expectations,” according to a jury of section leaders, teaching assistants and the professor.)

Top students also have the opportunity to gain teaching experience after the class ends. Owing to economic necessity and a dearth of graduate students willing to assist teaching introductory computer courses, the teaching assistants (TAs) in such courses at most universities are undergraduates.

“We decided at Stanford to make a virtue of necessity and really train those students to be wonderful as teachers,” Roberts said. Undergraduate TAs also provide “stepping stone role models” that help increase the number of underrepresented minorities in computer science.

Programming is one of the most varied intellectual activities in terms of productivity and ability, Roberts said. “The difference between this person who’s sort of good and that person who’s really great is extraordinary.”

A 1968 study of working programmers showed 20 to 1 variations in productivity-how much code a person could generate-among individuals with the same levels of education and experience. The best programmers also tended to be the fastest and to have the fewest bugs. “You see the same [enormous variability] in classrooms,” Roberts said.

Move over, Ed McMahon⤩

Roberts said he can’t gear the class to top students without risking losing those on the bottom. Instead, he leverages the features of large classes to encourage excellence. And that means-drumroll, please-lots of contests that provide extra credit. Students can enter three contests per quarter in his CS 106 A and B classes. Only large classes have enough students to make contests feasible, as only about 10 percent of the class usually enters. A large class may have 40 to 60 entrants. Winners rise from the obscurity of a large class.

Judged by an army of section leaders, programs can win for such categories as “best algorithm” or “best aesthetics.” Some contests have explored the limited world of Karel the robot, who can turn left but not right, forcing students to program three left turns to make a right when Karel runs a maze. One winning program calculated the weakest and strongest countries in a game of Risk to determine who could attack whom. Another winner created an animation of IBM’s Deep Blue supercomputer beating chess champion Garry Kasparov in 1997. Yet another winner created an adventure game using text-based commands to have players find magic wands and potions.

Prizes provide recognition (certificates for first-place, runner-up and honorable mention contestants, and classroom presentations of winning entries), camaraderie (a group dinner for winners at Roberts’ house the following quarter), perks (offers of letters of recommendation from Roberts) and glory (an automatic 100 percent score on the final exam for the first-prize winner of any contest).

The contests have opened up new worlds for some students. When a former English major in Roberts’ Computer Science 105 course won a contest, she became so fired up that she got an undergraduate degree in symbolic systems and a master’s degree in computer science. She went on to become employee number nine at Google.

Roberts’ teaching awards include the Bing Fellow Award for Excellence in Teaching (1993), the Perin Award for Undergraduate Engineering Education (1995), the Lloyd W. Dinkelspiel Award (1998), the John A. and Cynthia Fry Gunn University Fellowship in Undergraduate Education (2002), the Association for Computing Machinery’s Special Interest Group on Computer Science Education Award (2003) and the Laurance and Naomi Carpenter Hoagland Prize (2004).

The Center for Teaching and Learning sponsors the “Award-Winning Teachers on Teaching” lecture series. Deborah Gordon, a professor of biological sciences, will deliver the next talk Jan. 20 at noon in the Hartley Conference Center of the Mitchell Earth Sciences Building.

615. JUST IN TIME TEACHING

Tuesday, April 5th, 2005

Folks:

The posting below is an editorial on Just in Time Teaching (JiTT) by James Rhem, executive editor of the National Teaching and Learning Forum. It is number and is #26 in a series of selected excerpts from the National Teaching and Learning Forum newsletter reproduced here as part of our “Shared Mission Partnership.” NT&LF has a wealth of information on all aspects of teaching and learning. . If you are not already a subscriber I urge you to consider becoming one. You can check it out at [http://www.ntlf.com/] The on-line edition of the Forum–like the printed version – offers subscribers insight from colleagues eager to share new ways of helping students reach the highest levels of learning. National Teaching and Learning Forum Newsletter, Volume 14, Number 1 © Copyright 1996-2005. Published by James Rhem & Associates, Inc. (ISSN 1057-2880) All rights reserved worldwide. Reprinted with permission.

Regards,

Rick Reis
reis@stanford.edu
UP NEXT: Contests motivate top students in large courses

Tomorrow’s Teaching and Learning

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JUST IN TIME TEACHING

James Rhem

A quick and dirty description of “Just In Time Teaching” (JiTT) compares it to putting the “Study Questions” once found at the end of textbook chapters up on the Web. But there’s a lot more to it. For one thing, the affect generated by JiTT differs markedly from that associated with a student pondering study questions alone in the dorm. The questions and exercises posted for students on the Web before each class meeting become the grist for that class meeting, not a quiz per se or a tidying up of understanding before getting on with the dispensing of another huge chunk of content. In this pedagogy, student questions, student understanding (and misunderstanding), student learning become the focus of instruction, and dialogue replaces lecture.

Mechanics

The mechanics of JiTT appear overtly simple: professors post a number of queries (commonly called “warm ups”) on a course web site prior to each class meeting. Students must log on and post replies to these by a certain deadline (usually a few hours before class). Professors review the student replies before class and make the understanding, partial understandings and complete misunderstandings the focus of the class meeting. Indeed, the concepts being explored and the students grappling with understanding replace traditional lectures in JiTT, according to Scott Simkins, professor of economics at North Carolina A&T and an enthusiast of the pedagogy.

Simkins and colleagues from Indiana University-Purdue University Indianapolis (IUPUI) presented stories of how they are using this approach successfully in a number of disciplines at the inaugural meeting of the International Society for the Scholarship of Teaching and Learning in Bloomington, Indiana last October. Currently, under sponsorship from an NSF grant, Simkins is examining a number of pedagogical approaches previously funded by NSF to see which have worked well and which have transfer potential to multiple disciplines. Physics, a discipline currently famous for vigorous pedagogical innovation and success, is the original home of JiTT. Originally developed by Gregor Novak at IU, it has quickly attracted a band of enthusiastic practitioners who have coauthored a book on the subject with Novak: Just-In-Time Teaching : Blending Active Learning with Web Technology (Prentice Hall, 1999).

So aside from using the Web, how does JiTT differ from simply having students read study questions and bring their own questions to class? Practitioners would say the whole latent premise of the question is misleading. For one thing, as Marshall McLuhan wrote in Understanding Media (1964), “the medium is the message.” The immediacy, the “in timeness,” the sense of personal control associated with the Web matter a great deal. They convey a message of involvement and interaction rather than a message of questioning an authority. The equality of involvement sets the stage for a far different class meeting than the serial, oral confessions of what individual students did not understand, which responding to study questions might do.

“This approach lets us get into students minds,” says Simkins, “it helps make their thinking visible.” “It changes the character of the classroom,” he continues. “The comments we are responding to are ‘their stuff,’ not my stuff from lectures or stuff from the book; so there’s a different kind of involvement and a different level of involvement.”

As class meetings shift from being presentation and discussion of blocks of material and into an ongoing learning dialogue, everything becomes more fluid. That unsettles some professors. “Professors sometimes are not as confident about working on their feet or working without a net so to speak,” says Simkins. But those who make the leap find a quality of “buy in” from students that transforms their teaching. Says Simkins: “They see you as focusing on ‘them,’ on their needs; they don’t see you as just presenting information. You’re caring about them, not just presenting information.”

The deep focus on student learning so changes students feelings about the class that they report it motivates them to go further, ask questions, look things up that they wouldn’t have before. And yet, as with so many felt differences, the improvement currently eludes psychometric testing. As Simkins writes: “Regress analysis of pseudo-control/treatment group exam results, controlling for demographic and academic differences among students, suggest that there is a small, measurable, positive effect on cognitive learning with JiTT-based pedagogy.”

That hasn’t deterred instructors at some 80 institutions from adopting the approach and setting up a website to share information about it – at www.jitt.org.

Warm Ups

Eventually, that website will post a wide range of “warm ups” from various disciplines, “warm ups” like those developed by Kathy Marrs, a professor of biology at IUPUI who presented with Simkins in Bloomington. “Subject mastery is always the primary concern of JiTT,” says Marrs. Thus, “a well-constructed Warm Up assignment asks students to address open-end questions at the conceptual level and in writing.” These exercises, she emphasizes, are not quizzes.

Marrs gives these examples of good ways to begin an effective Warm Up:

“What is the difference between . . . ?”
“Why do you think . . . ?”
“What happens if . . . ?”
“Do you think that . . . ?”
“Estimate how many . . . ?”
“In your own words explain . . . ?”

The big advantage of this sort of exercise over a quiz, says Marrs, is that while a quiz encourages students to do assigned reading, it doesn’t necessarily get them thinking about the material beyond the level of memorization as these questions do.

Warm Ups can take on big general questions or very pointed specific ones. For example, a question Marrs asked that might be posed in many fields is:

“What is the difference between a theory and a belief? You may want to look these terms up before answering. Be as specific as you can, and give an example of each.”

But a more pointed question (and some student answers) better convey the way in which JiTT exercises enliven class meetings:

“Which gender is doing more meiosis RIGHT NOW in class – the males or the females? Or do men and women undergo meiosis at pretty much equal rates? What type of cell is the end product of meiosis in men? What type of cell is the end product of meiosis in women? How many chromosomes do these cells have compared to our other body cells?”

Student replies included:

* “If I read my notes and didn’t get confused I think it is the guys who are doing more meiosis, but I’m not definitely sure why. The sperm cell is the end result for the male and the egg for the female. There are half as many chromosomes for these cells, 23 instead of 46.”

* “Both genders are undergoing meiosis at pretty much equal rates. The end result for men is a sperm cell and the women is an egg cell. Both of these cells have 23 chromosomes each and not 46 like other cells that go through mitosis.”

* “Men and women do undergo meiosis at equal rates, but RIGHT NOW the ‘female(s)’ are doing more meiosis, this means you Dr. Marrs because you have a little one growing in ‘the oven’!!! The end product of meiosis in men is the sperm, and the end product in women is the egg. These cells have 23 chromosomes each.”

Typically Marrs and other JiTT teachers display a range of student responses anonymously to start discussion. Partially correct responses are particularly useful as “classroom discussion fodder,” says Marrs. Any teacher who’s faced the difficulty of dislodging incorrect prior knowledge welcomes the opportunity JiTT affords of correcting misconceptions while new concepts are still fresh in students’ minds. And partially correct responses make that easier. It’s not as though students have gotten the concept all wrong; their understanding just needs a little adjustment. Again, the egalitarian ethos effected by filing Web responses and having these hold the spotlight in class casts students as active learners right from the start. They come to class with an investment in understanding.

Marrs and Simkins agree that the JiTT approach creates a “positive learning cycle” with students at its center and they see few barriers to using the approach in many disciplines. Updated “study questions”? Well, kinda, sorta . . .

For more information on JiTT see:

* Gregor Novak, Andrew Gavrin, Wolfgang Christian, Evelyn Patterson, Just-In-Time Teaching : Blending Active Learning with Web Technology (Prentice Hall Series in Educational Innovation, 1999)

614. WORLD’S TOP 500 UNIVERSITIES

Friday, April 1st, 2005

Folks;

Attempting to rank universities world-wide is no easy task [which is why very few organizations have tried to do it] and it is easy enough to take exception to the various criteria used. That said, here is a list of the top 500 universities in the world by rank as determined in a study from the Institute of Higher Education, Shanghai Jiao Tong University, China. A much more detailed description of the criteria used, rankings by geographic area, FAQ’s and the questionnaire itself can be found at: http://ed.sjtu.edu.cn/rank/2004/2004Main.htm

Regards,

Rick Reis
reis@stanford.edu
UP NEXT: Just In Time Teaching

Tomorrow’s Academia

WORLD’S TOP 500 UNIVERSITIES
World Rank Institution* Country Total Score
1 Harvard Univ USA 100
2 Stanford Univ USA 77.2
3 Univ Cambridge UK 76.2
4 Univ California – Berkeley USA 74.2
5 Massachusetts Inst Tech (MIT) USA 72.4
6 California Inst Tech USA 69
7 Princeton Univ USA 63.6
8 Univ Oxford UK 61.4
9 Columbia Univ USA 61.2
10 Univ Chicago USA 60.5
11 Yale Univ USA 58.6
12 Cornell Univ USA 55.5
13 Univ California – San Diego USA 53.8
14 Tokyo Univ Japan 51.9
15 Univ Pennsylvania USA 51.8
16 Univ California – Los Angeles USA 51.6
17 Univ California – San Francisco USA 50.8
18 Univ Wisconsin – Madison USA 50
19 Univ Michigan – Ann Arbor USA 49.3
20 Univ Washington – Seattle USA 49.1
21 Kyoto Univ Japan 48.3
22 Johns Hopkins Univ USA 47.5
23 Imperial Coll London UK 46.4
24 Univ Toronto Canada 44.6
25 Univ Coll London UK 44.3
25 Univ Illinois – Urbana Champaign USA 43.3
27 Swiss Fed Inst Tech – Zurich Switzerland 43.2
28 Washington Univ – St. Louis USA 43.1
29 Rockefeller Univ USA 40.2
30 Northwestern Univ USA 39.5
31 Duke Univ USA 38.9
32 New York Univ USA 38.7
33 Univ Minnesota – Twin Cities USA 38.3
34 Univ Colorado – Boulder USA 37.8
35 Univ California – Santa Barbara USA 37
36 Univ British Columbia Canada 36.3
36 Univ Texas Southwestern Med Center USA 36.3
38 Vanderbilt Univ USA 35.1
39 Univ Utrecht Netherlands 34.9
40 Univ Texas – Austin USA 34.8
41 Univ Paris 06 France 33.9
42 Univ California – Davis USA 33.6
43 Pennsylvania State Univ – Univ Park USA 33.5
44 Rutgers State Univ – New Brunswick USA 33.4
45 Tech Univ Munich Germany 33.3
46 Karolinska Inst Stockholm Sweden 33
47 Univ Edinburgh UK 32.9
48 Univ Paris 11 France 32.5
48 Univ Southern California USA 32.5
48 Univ Pittsburgh – Pittsburgh USA 32.5
51 Univ Munich Germany 32.4
52 Univ Rochester USA 32
53 Australian Natl Univ Australia 31.9
54 Osaka Univ Japan 31.5
55 Univ California – Irvine USA 31.4
56 Univ North Carolina – Chapel Hill USA 31.2
57 Univ Zurich Switzerland 31.1
57 Univ Maryland – Coll Park USA 31.1
59 Univ Copenhagen Denmark 31
60 Univ Bristol UK 30.6
61 McGill Univ Canada 30.4
62 Carnegie Mellon Univ USA 30.3
63 Univ Leiden Netherlands 29.8
64 Univ Heidelberg Germany 29.7
65 Case Western Reserve Univ USA 29.6
66 Moscow State Univ Russia 29.5
67 Univ Florida USA 29.3
68 Univ Oslo Norway 29.2
69 Univ Sheffield UK 28.8
69 Tohoku Univ Japan 28.8
71 Purdue Univ – West Lafayette USA 28.7
72 Univ Helsinki Finland 28.6
73 Ohio State Univ – Columbus USA 28.5
74 Uppsala Univ Sweden 28.4
75 Rice Univ USA 28.3
76 Univ Arizona USA 28.1
77 King’s Coll London UK 28
78 Univ Manchester UK 27.9
79 Univ Goettingen Germany 27.4
80 Michigan State Univ USA 27
80 Univ Nottingham UK 27
82 Brown Univ USA 26.8
82 Univ Melbourne Australia 26.8
82 Univ Strasbourg 1 France 26.8
85 Ecole Normale Super Paris France 26.5
86 Univ Vienna Austria 26.3
86 Boston Univ USA 26.3
88 Univ Freiburg Germany 26
88 McMaster Univ Canada 26
90 Hebrew Univ Jerusalem Israel 25.9
91 Univ Basel Switzerland 25.8
92 Lund Univ Sweden 25.6
93 Univ Birmingham UK 25.5
93 Univ Roma – La Sapienza Italy 25.5
95 Humboldt Univ Berlin Germany 25.4
95 Univ Utah USA 25.4
97 Stockholm Univ Sweden 25.2
97 Nagoya Univ Japan 25.2
99 Univ Bonn Germany 25.1
99 Tufts Univ USA 25.1
101-152 Aarhus Univ Denmark \
101-152 Arizona State Univ – Tempe USA \
101-152 Baylor Coll Med USA \
101-152 Dartmouth Coll USA \
101-152 Emory Univ USA \
101-152 Georgia Inst Tech USA \
101-152 Hokkaido Univ Japan \
101-152 Indiana Univ – Bloomington USA \
101-152 Kyushu Univ Japan \
101-152 Natl Univ Singapore Singapore \
101-152 North Carolina State Univ – Raleigh USA \
101-152 Oregon State Univ USA \
101-152 State Univ New York – Stony Brook USA \
101-152 Tel Aviv Univ Israel \
101-152 Texas A&M Univ – Coll Station USA \
101-152 Tokyo Inst Tech Japan \
101-152 Tsukuba Univ Japan \
101-152 Univ Alberta Canada \
101-152 Univ Amsterdam Netherlands \
101-152 Univ Bern Switzerland \
101-152 Univ California – Riverside USA \
101-152 Univ California – Santa Cruz USA \
101-152 Univ Frankfurt Germany \
101-152 Univ Geneva Switzerland \
101-152 Univ Georgia USA \
101-152 Univ Ghent Belgium \
101-152 Univ Glasgow UK \
101-152 Univ Groningen Netherlands \
101-152 Univ Hamburg Germany \
101-152 Univ Hawaii – Manoa USA \
101-152 Univ Illinois – Chicago USA \
101-152 Univ Iowa USA \
101-152 Univ Kiel Germany \
101-152 Univ Leeds UK \
101-152 Univ Leuven Belgium \
101-152 Univ Libre Bruxelles Belgium \
101-152 Univ Liverpool UK \
101-152 Univ Louvain Belgium \
101-152 Univ Massachusetts – Amherst USA \
101-152 Univ Miami USA \
101-152 Univ Milan Italy \
101-152 Univ Muenster Germany \
101-152 Univ Paris 07 France \
101-152 Univ Pisa Italy \
101-152 Univ Queensland Australia \
101-152 Univ Sussex UK \
101-152 Univ Sydney Australia \
101-152 Univ Tennessee – Knoxville USA \
101-152 Univ Tuebingen Germany \
101-152 Univ Virginia USA \
101-152 Univ Wuerzburg Germany \
101-152 Weizmann Inst Sci Israel \
153-201 Cardiff Univ UK \
153-201 Coll France France \
153-201 Colorado State Univ USA \
153-201 Erasmus Univ Netherlands \
153-201 Florida State Univ USA \
153-201 Free Univ Amsterdam Netherlands \
153-201 Gothenburg Univ Sweden \
153-201 Iowa State Univ USA \
153-201 Mt Sinai Sch Med USA \
153-201 Natl Taiwan Univ China-tw \
153-201 Oregon Health & Sci Univ USA \
153-201 Queen’s Univ Canada \
153-201 Rensselaer Polytechnic Inst USA \
153-201 Royal Inst Tech Sweden \
153-201 Seoul Natl Univ South Korea \
153-201 Swiss Fed Inst Tech – Lausanne Switzerland \
153-201 Tech Univ Denmark Denmark \
153-201 Univ Alabama – Birmingham USA \
153-201 Univ Autonoma Madrid Spain \
153-201 Univ Calgary Canada \
153-201 Univ Cincinnati – Cincinnati USA \
153-201 Univ Connecticut – Storrs USA \
153-201 Univ Delaware USA \
153-201 Univ Grenoble 1 France \
153-201 Univ Koeln Germany \
153-201 Univ Leicester UK \
153-201 Univ Leipzig Germany \
153-201 Univ Mainz Germany \
153-201 Univ Marburg Germany \
153-201 Univ Maryland – Baltimore USA \
153-201 Univ Montpellier 2 France \
153-201 Univ Montreal Canada \
153-201 Univ Nacl Autonoma Mexico Mexico \
153-201 Univ Nebraska – Lincoln USA \
153-201 Univ New South Wales Australia \
153-201 Univ Notre Dame USA \
153-201 Univ Padua Italy \
153-201 Univ Sao Paulo Brazil \
153-201 Univ Southampton UK \
153-201 Univ Texas Health Sci Center – Houston USA \
153-201 Univ Texas M.D. Anderson Cancer Center USA \
153-201 Univ Turin Italy \
153-201 Univ Wageningen Netherlands \
153-201 Univ Waterloo Canada \
153-201 Univ Western Australia Australia \
153-201 Virginia Commonwealth Univ USA \
153-201 Virginia Tech USA \
153-201 Washington State Univ – Pullman USA \
153-201 Yeshiva Univ USA \
202-301 Brandeis Univ USA \
202-301 Chalmers Univ Tech Sweden \
202-301 Chinese Univ Hong Kong China-hk \
202-301 Dalhousie Univ Canada \
202-301 Delft Univ Tech Netherlands \
202-301 Ecole Polytechnique France \
202-301 Free Univ Berlin Germany \
202-301 George Mason Univ USA \
202-301 George Washington Univ USA \
202-301 Georgetown Univ USA \
202-301 Hiroshima Univ Japan \
202-301 Hong Kong Univ Sci & Tech China-hk \
202-301 Indian Inst Sci India \
202-301 Innsbruck Univ Austria \
202-301 Kansas State Univ USA \
202-301 Keio Univ Japan \
202-301 Kobe Univ Japan \
202-301 London Sch Economics UK \
202-301 Louisiana State Univ – Baton Rouge USA \
202-301 Monash Univ Australia \
202-301 Okayama Univ Japan \
202-301 Peking Univ China \
202-301 Polytechnic Inst Milan Italy \
202-301 Queen Mary Coll UK \
202-301 State Univ New York – Albany USA \
202-301 State Univ New York – Buffalo USA \
202-301 Swedish Univ Agr Sci Sweden \
202-301 Syracuse Univ USA \
202-301 Tech Univ Aachen Germany \
202-301 Tech Univ Berlin Germany \
202-301 Technion Israel Inst Tech Israel \
202-301 Thomas Jefferson Univ USA \
202-301 Trinity Coll Dublin Ireland \
202-301 Tsing Hua Univ China \
202-301 Tulane Univ USA \
202-301 Umea Univ Sweden \
202-301 Univ Adelaide Australia \
202-301 Univ Alaska – Fairbanks USA \
202-301 Univ Antwerp Belgium \
202-301 Univ Auckland New Zealand \
202-301 Univ Barcelona Spain \
202-301 Univ Bochum Germany \
202-301 Univ Bologna Italy \
202-301 Univ Bordeaux 1 France \
202-301 Univ Buenos Aires Argentina \
202-301 Univ Cape Town South Africa \
202-301 Univ Colorado Health Sci Center USA \
202-301 Univ Dundee UK \
202-301 Univ Durham UK \
202-301 Univ East Anglia UK \
202-301 Univ Erlangen Nuernberg Germany \
202-301 Univ Florence Italy \
202-301 Univ Genoa Italy \
202-301 Univ Graz Austria \
202-301 Univ Guelph Canada \
202-301 Univ Halle – Wittenberg Germany \
202-301 Univ Hong Kong China-hk \
202-301 Univ Houston USA \
202-301 Univ Kansas – Lawrence USA \
202-301 Univ Karlsruhe Germany \
202-301 Univ Kentucky USA \
202-301 Univ Laval Canada \
202-301 Univ Liege Belgium \
202-301 Univ Lyon 1 France \
202-301 Univ Manchester Inst Sci & Tech UK \
202-301 Univ Manitoba Canada \
202-301 Univ Massachusetts – Worcester USA \
202-301 Univ Med & Dentistry New Jersey USA \
202-301 Univ Missouri – Columbia USA \
202-301 Univ Naples Federico II Italy \
202-301 Univ New Mexico – Albuquerque USA \
202-301 Univ Newcastle UK \
202-301 Univ Nijmegen Netherlands \
202-301 Univ Oregon USA \
202-301 Univ Otago New Zealand \
202-301 Univ Ottawa Canada \
202-301 Univ Paris 05 France \
202-301 Univ Reading UK \
202-301 Univ Regensburg Germany \
202-301 Univ Rhode Island USA \
202-301 Univ Saskatchewan Canada \
202-301 Univ South Carolina – Columbia USA \
202-301 Univ South Florida USA \
202-301 Univ Southern Denmark Denmark \
202-301 Univ St Andrews UK \
202-301 Univ Stuttgart Germany \
202-301 Univ Szeged Hungary \
202-301 Univ Texas Health Sci Center – San Antonio USA \
202-301 Univ Texas Med Branch – Galveston USA \
202-301 Univ Toulouse 3 France \
202-301 Univ Turku Finland \
202-301 Univ Twente Netherlands \
202-301 Univ Ulm Germany \
202-301 Univ Vermont USA \
202-301 Univ Warwick UK \
202-301 Univ Western Ontario Canada \
202-301 Univ York UK \
202-301 Wake Forest Univ USA \
202-301 Wayne State Univ USA \
202-301 Yonsei Univ South Korea \
302-403 Bar Ilan Univ Israel \
302-403 Ben Gurion Univ Israel \
302-403 Carleton Univ Canada \
302-403 Charles Univ Prague Czech \
302-403 Chiba Univ Japan \
302-403 City Univ Hong Kong China-hk \
302-403 City Univ New York – City Coll USA \
302-403 Clemson Univ USA \
302-403 Ecole Natl Super Mines – Paris France \
302-403 Ecole Normale Super Lyon France \
302-403 Ecole Super Phys & Chem Industry France \
302-403 Eindhoven Univ Tech Netherlands \
302-403 Fudan Univ China \
302-403 Gifu Univ Japan \
302-403 Gunma Univ Japan \
302-403 Hong Kong Polytechnic Univ China-hk \
302-403 Indiana Univ – Purdue Univ – Indianapolis USA \
302-403 Jagiellonian Univ Poland \
302-403 Kanazawa Univ Japan \
302-403 Korea Advanced Inst Sci & Tech South Korea \
302-403 Lehigh Univ USA \
302-403 Macquarie Univ Australia \
302-403 Med Coll Georgia USA \
302-403 Med Coll Wisconsin USA \
302-403 Med Univ South Carolina USA \
302-403 Michigan Tech Univ USA \
302-403 Nagasaki Univ Japan \
302-403 Nanjing Univ China \
302-403 Nanyang Tech Univ Singapore \
302-403 Natl Tsing Hua Univ China-tw \
302-403 Nihon Univ Japan \
302-403 Niigata Univ Japan \
302-403 Norwegian Univ Sci & Tech Norway \
302-403 Open Univ UK \
302-403 Pohang Univ Sci & Tech South Korea \
302-403 Queen’s Univ Belfast UK \
302-403 Royal Veterinary & Agr Univ Denmark \
302-403 San Diego State Univ USA \
302-403 Simon Fraser Univ Canada \
302-403 Southern Methodist Univ USA \
302-403 St Petersburg State Univ Russia \
302-403 St. Louis Univ USA \
302-403 Sungkyunkwan Univ South Korea \
302-403 Tech Univ Braunschweig Germany \
302-403 Tech Univ Darmstadt Germany \
302-403 Tech Univ Dresden Germany \
302-403 Tech Univ Helsinki Finland \
302-403 Temple Univ USA \
302-403 Texas Tech Univ USA \
302-403 Tokyo Med & Dent Univ Japan \
302-403 Tokyo Metropolitan Univ Japan \
302-403 Tokyo Univ Agr & Tech Japan \
302-403 Univ Aberdeen UK \
302-403 Univ Athens Greece \
302-403 Univ Bath UK \
302-403 Univ Bayreuth Germany \
302-403 Univ Bergen Norway \
302-403 Univ Bielefeld Germany \
302-403 Univ Bordeaux 2 France \
302-403 Univ Cagliari Italy \
302-403 Univ Chile Chile \
302-403 Univ Complutense – Madrid Spain \
302-403 Univ Connecticut Health Center USA \
302-403 Univ Duesseldorf Germany \
302-403 Univ Essex UK \
302-403 Univ Estadual Campinas Brazil \
302-403 Univ Fed Rio de Janeiro Brazil \
302-403 Univ Ferrara Italy \
302-403 Univ Giessen Germany \
302-403 Univ Greifswald Germany \
302-403 Univ Jena Germany \
302-403 Univ Jyvaskyla Finland \
302-403 Univ Konstanz Germany \
302-403 Univ Lancaster UK \
302-403 Univ Lausanne Switzerland \
302-403 Univ Mediterranee France \
302-403 Univ Montana – Missoula USA \
302-403 Univ Nancy 1 France \
302-403 Univ Nevada – Reno USA \
302-403 Univ New Hampshire – Durham USA \
302-403 Univ Newcastle Australia \
302-403 Univ Oklahoma – Norman USA \
302-403 Univ Palermo Italy \
302-403 Univ Paris 09 France \
302-403 Univ Pavia Italy \
302-403 Univ Perugia Italy \
302-403 Univ Roma – Tor Vergata Italy \
302-403 Univ Sci & Tech China China \
302-403 Univ Tasmania Australia \
302-403 Univ Thessaloniki Greece \
302-403 Univ Tokushima Japan \
302-403 Univ Valencia Spain \
302-403 Univ Victoria Canada \
302-403 Univ Warsaw Poland \
302-403 Univ Witwatersrand South Africa \
302-403 Univ Wyoming USA \
302-403 Utah State Univ USA \
302-403 Vienna Tech Univ Austria \
302-403 Vrije Univ Brussel Belgium \
302-403 Waseda Univ Japan \
302-403 Yamaguchi Univ Japan \
302-403 Zhejiang Univ China \
404-502 Auburn Univ USA \
404-502 Birkbeck Coll UK \
404-502 Boston Coll USA \
404-502 Brigham Young Univ – Provo USA \
404-502 Budapest Univ Tech Hungary \
404-502 Catholic Univ America USA \
404-502 Coll William & Mary USA \
404-502 Drexel Univ USA \
404-502 Ehime Univ Japan \
404-502 Eotvos Lorand Univ Hungary \
404-502 Flinders Univ South Australia Australia \
404-502 Florida International Univ USA \
404-502 Hannover Med Sch Germany \
404-502 Hanyang Univ South Korea \
404-502 Himeji Inst Tech Japan \
404-502 Howard Univ USA \
404-502 Indian Inst Tech – Kharagpur India \
404-502 Jichi Med Sch Japan \
404-502 Jilin Univ China \
404-502 Juntendo Univ Japan \
404-502 Kagoshima Univ Japan \
404-502 Kent State Univ USA \
404-502 Korea Univ South Korea \
404-502 Kumamoto Univ Japan \
404-502 Kyungpook Natl Univ South Korea \
404-502 La Trobe Univ Australia \
404-502 Linkoping Univ Sweden \
404-502 London Sch Hygiene & Tropical Med UK \
404-502 Loyola Univ – Chicago USA \
404-502 Massey Univ New Zealand \
404-502 Med Univ Innsbruck Austria \
404-502 Memorial Univ Newfoundland Canada \
404-502 Montana State Univ – Bozeman USA \
404-502 Murdoch Univ Australia \
404-502 Nara Inst Sci & Tech Japan \
404-502 Natl Cheng Kung Univ China-tw \
404-502 New Jersey Inst Tech USA \
404-502 New Mexico State Univ – Las Cruces USA \
404-502 Northeastern Univ USA \
404-502 Northern Arizona Univ USA \
404-502 Oklahoma State Univ USA \
404-502 Old Dominion Univ USA \
404-502 Osaka City Univ Japan \
404-502 Polytechnic Inst Turin Italy \
404-502 Polytechnic Univ – Brooklyn USA \
404-502 Royal Holloway Coll UK \
404-502 Scuola Normale Super – Pisa Italy \
404-502 Shanghai Jiao Tong Univ China \
404-502 Shinshu Univ Japan \
404-502 Univ Aix Marseille 1 France \
404-502 Univ Akron USA \
404-502 Univ Arkansas – Little Rock USA \
404-502 Univ Autonoma Barcelona Spain \
404-502 Univ Bari Italy \
404-502 Univ Bradford UK \
404-502 Univ Bremen Germany \
404-502 Univ Calcutta India \
404-502 Univ Central Florida USA \
404-502 Univ Coll Cork Ireland \
404-502 Univ Coll Dublin Ireland \
404-502 Univ Duisburg Essen Germany \
404-502 Univ Estadual Paulista Brazil \
404-502 Univ Exeter UK \
404-502 Univ Fribourg Switzerland \
404-502 Univ Granada Spain \
404-502 Univ Haifa Israel \
404-502 Univ Idaho USA \
404-502 Univ Kaiserslautern Germany \
404-502 Univ Kansas Med Center USA \
404-502 Univ KwaZulu-Natal South Africa \
404-502 Univ Lisbon Portugal \
404-502 Univ Louisville USA \
404-502 Univ Maastricht Netherlands \
404-502 Univ Maine – Orono USA \
404-502 Univ Maryland – Baltimore County USA \
404-502 Univ Massachusetts – Boston USA \
404-502 Univ Mississippi – Oxford USA \
404-502 Univ Nebraska Med Center USA \
404-502 Univ Osaka Prefecture Japan \
404-502 Univ Oulu Finland \
404-502 Univ Parma Italy \
404-502 Univ Pretoria South Africa \
404-502 Univ Quebec Canada \
404-502 Univ Rennes 1 France \
404-502 Univ Saarlandes Germany \
404-502 Univ Santiago Compostela Spain \
404-502 Univ Sevilla Spain \
404-502 Univ Sherbrooke Canada \
404-502 Univ Siena Italy \
404-502 Univ Surrey UK \
404-502 Univ Tennessee Health Sci Center USA \
404-502 Univ Trent Italy \
404-502 Univ Trieste Italy \
404-502 Univ Tromso Norway \
404-502 Univ Wales – Swansea UK \
404-502 Univ Wuppertal Germany \
404-502 Univ Zaragoza Spain \
404-502 West Virginia Univ USA \
404-502 York Univ Canada \

* Institutions with the same rank range are listed alphabetically.