Accounting for Model Uncertainty in the Prediction of University Graduation Rates

Empirical analysis requires researchers to choose which variables to use as controls in their models. Theory should dictate this choice, yet often in social science there are several theories that may suggest the inclusion or exclusion of certain variables as controls. The result of this is that researchers may use different variables in their models and come to disparate conclusions with respect to predicted effects and their statistical significance. In such cases one is uncertain of which particular set of regressors forms the model that represents the data. The approach used below accounts for uncertainty in variable selection by using Bayesian model averaging (BMA). Accounting for uncertainty, we demonstrate that BMA provides better out-of-sample prediction for university graduation rates than results based on alternative variable selection methods.     

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Riding, Richard & Rayner, Steven (1998) Cognitive styles and learning strategies David Fulton (London) ISBN 1-85346-480-5 213 pp £19
http://www.fultonpublishers.co.uk orders@fultonpublishers.co.uk     

Why Are Partnerships Necessary for Computer Classroom Administration?

Computer classrooms (CCs) have been an important part of writing instruction since the mid 1980s, yet little scholarship concerns the roles that directors of computer classrooms play in maintaining these facilities. Based on a review of scholarship of CC administration and an informal survey of CC administrators, this article argues that CC directors walk a tightrope between the role of teacher and manager and that we need to focus on building partnerships to maintain our facilities, because we simply cannot do by ourselves everything that this complex role requires of us.     

Measuring quality in universities: An approach to weighting research productivity

The aim of the study is to demonstrate, via the use of the discipline of Education, a procedure to identify and weight the importance of various indicators of research productivity which in turn have become significant components in determining quality within and between universities. The methodology allows for the identification of indicators that are most important, and ascertains if there are differences among academics as to the relative weighting of the various research indicators.Highly valued indicators of research productivity amongst the Education academics were refereed journal articles, peer reviewed books, and major competitive research grants. Refereeing was critical in the determination of quality in research productivity, and the findings generalized across many academics regardless of their own personal productivity. It is recommended that the methodology can serve to determine the tacit weights that academics within and across disciplines attach to various research products. At least, this method makes academics and administrators aware of the weightings they are actually using when making decisions about the quality of academic departments.     

A review of primary and secondary influences on sport expertise

Sport scientists have examined numerous factors influencing the acquisition and manifestation of high levels of performance. These factors can be divided into variables having a primary influence on expertise and variables that have a secondary influence through their interaction with other variables. Primary influences on expertise include genetic, training, and psychological factors while secondary influences include socio‐cultural and contextual elements. This paper reviews the factors affecting the development of expert performance in sport and suggests directions for future research.     

Making sense of technology in educational leadership programs

Conclusion Identify standards, align curricula, support technology—these are the three strategies that bring clarity to the process. As technology changes, the standards, curricula and support must change. ACTIVStudio, interactive whiteboards and cyber diaries are not just buzzwords — they are the new language of technology. The Citadel School of Education is paying attention — making sense of the challenge of keeping current technology in educational leadership programs. She is a former teacher and school administrator and currently teaches graduate courses, including microcomputers and school management, to aspiring administrators. Ms. Alice B. Hambright, a former public school teacher.     

Mega‐planning in Population

ABSTRACT Clark and Murray examine the six Critical Performance Factors for Mega planning in an example drawn from the five‐year history of the population program of a major west coast philanthropy. In this article, the authors describe the salience and scope of the population issue as it is relates to other global trends; the steps the foundation took to “scope” the program and establish measurable impacts. It rates performance against the critical factors, then looks at some specific country impacts five years later. This analysis will be incorporated into the plan revision. Summary and What Next Indications are that our funding and the work of the grantees are having good impact in the country programs. Systematic, comprehensive reviews involving outside/inside experts, quantitative and qualitative data will be completed in all five country programs by mid‐2005. Also in 2005, the Board will work with staff and outside experts to examine the results of grant making and review and discuss our long term, overall approach. Much has changed since 1998. We will review those changes and see if any longer term shifts in funding emphasis will be appropriate. This effort to refresh our strategic thinking will allow us to revise, as appropriate, the stated missions of the population work, its assumptions, and how it fits into the overall work and goals of the Foundation.     

Software for managing complex learning: Examples from an educational psychology course

Inquiry-based instruction including problem-, project-, and case-based methods often incorporate complex sets of learning activities. The numerous activities run the risk of becoming disconnected in the minds of learners and teachers. STAR.Legacy is a software shell that can help designers organize learning activities into an inquiry cycle that is easy to understand and pedagogically sound. To ensure that classroom teachers can adapt the inquiry activities according to their local resources and needs, STAR.Legacy was built upon four types of design principles: learner centered, knowledge centered, assessment centered, and community centered. We describe how a STAR.Legacy constructed for an educational psychology course helped preservice teachers design and learn about effective inquiry-based instruction. This work was supported by grant #R305F60090 from the Department of Education. The authors thank the educational psychology students for their contributions to this paper and Amy Ryce for her editorial talents.     

Toward a Learning Technologies knowledge network

The National Science Foundation-funded Center for Innovative Learning Technologies (CILT) is designed to be a national resource for stimulating research and development of technology-enabled solutions to critical problems in K-14 science, math, engineering and technology learning. The Center, launched at the end of 1997, is organized around four themes identified as areas where research is likely to result in major gains in teaching and learning, and sponsors research across disciplines and institutions in its four theme areas. CILT brings together experts in the fields of cognitive science, educational technologies, computer science, subject matter learning, and engineering. It engages business through an Industry Alliance Program and is also training postdoctoral students. CILT's founding organizations are SRI International's Center for Technology in Learning, University of California at Berkeley (School of Education and Department of Computer Science), Vanderbilt University's Learning Technology Center, and the Concord Consortium. Through its programs, CILT seeks to reach beyond these organizations to create a web of organizations, individuals, industries, schools, foundations, government agencies, and labs, that is devoted to the production, sharing and use of new knowledge about how learning technologies can dramatically improve the processes and outcomes of learning and teaching. This paper describes the rationale and operations of the Center, and first-year progress in defining a set of CILT partnership projects with many other institutions that came out of our national theme-team workshops. Roy Pea, of SRI International, is Director of CILT. Marcia Linn (U. California, Berkeley), John Bransford (Vanderbilt University), Barbara Means (SRI International), and Robert Tinker (Concord Consortium), serve as CILT's coprincipal investigators. Sherry Hsi (Ubiquitous Computing) and Sean Brophy (Technology and Assessment Models) are among the first group of CILT Postdoctoral Fellows. Jeremy Roschelle (SRI International) and Nancy Songer (University of Michigan) are CILT theme-team leaders. Roy Pea and Marcia Linn would like to thank the Spencer Foundation for support during their year at the Center for Advanced Study in the Behavioral Sciences, Stanford University, in which they developed the CILT concept with the other authors. CILT is funded by National Science Foundation grant #CDA-9720384. Pea and Linn would also like to acknowledge contributions to this article by the many authors of CILT partnership project proposals, and by theme-team leaders. The authors thankfully acknowledge Donna Baranski-Walker for her many contributions to developing the CILT Industrial Alliance Program while serving as its Director in 1998.     

REIMERS,Fernando, and McGINN,Noel. 1997. Informed Dialogue: Using Research to Shape Educational Policy Around the World

International Review of Education -