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.     

Design,validation, and use of an evaluation instrument for monitoring systemic reform

Over the past decade, state and national policymakers have promoted systemic reform as a way to achieve high‐quality science education for all students. However, few instruments are available to measure changes in key dimensions relevant to systemic reform such as teaching practices, student attitudes, or home and peer support. Furthermore, Rasch methods of analysis are needed to permit valid comparison of different cohorts of students during different years of a reform effort. This article describes the design, development, validation, and use of an instrument that measures student attitudes and several environment dimensions (standards‐based teaching, home support, and peer support) using a three‐step process that incorporated expert opinion, factor analysis, and item response theory. The instrument was validated with over 8,000 science and mathematics students, taught by more than 1,000 teachers in over 200 schools as part of a comprehensive assessment of the effectiveness of Ohio's systemic reform initiative. When the new four‐factor, 20‐item questionnaire was used to explore the relative influence of the class, home, and peer environment on student achievement and attitudes, findings were remarkably consistent across 3 years and different units and methods of analysis. All three environments accounted for unique variance in student attitudes, but only the environment of the class accounted for unique variance in student achievement. However, the class environment (standards‐based teaching practices) was the strongest independent predictor of both achievement and attitude, and appreciable amounts of the total variance in attitudes were common to the three environments. © 2001 John Wiley & Sons, Inc. J Res Sci Teach 38: 646–662, 2001     

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.     

Heredity, reproduction, and perfectibility in revolutionary and Napoleonic France, 1789-1815

During the French Revolution, there appeared a striking and far-ranging medical literature on heredity, reproduction and biological 'perfectibility'. In some ways anticipating ideas associated with modern eugenics, these writings emerged from radical revolutionary projects for 'physical and moral regeneration' and incarnated deep-seated desires to transform French society and make a 'new man' in mind and body. But by breaking down boundaries between public and private life, doctors did more than just try to regulate intimate sexual behaviour. Instead, they proffered a more intimate vision of civic volunteerism, in which sexual hygiene and domestic practices allowed their patients to imagine new forms of society and gave them ways to attain these socio-political dreams. Moreover, they were responding to powerful new worries about heredity and sought to counsel their patients in the ways of family panning. By the end of revolutionary period, then, medical and lay thinkers had transformed the marriage bed and household into a specially controlled environment - a kind of affective laboratory - in which conscientious parents could make healthy children and raise them in the context of specific political and social values.     

Selective Attention to Online Political Information

Selective attention is a key concept in communication research despite equivocal supporting evidence. This study focuses on methodological concerns in the study of selective attention. Using unobtrusive measures of selective attention to online political content this study found consistent support for the selective attention hypothesis. Three within-subjects quasi experiments were conducted (n = 29, n = 36, and n = 75) that measured subjects' attention to information consistent with and counter to their beliefs. Two other measures of selective attention were also used: (1) whether subjects turned first to consistent or counter information, and (2) how deeply into the material they read.     

A comparison of methods to determine bilateral asymmetries in vertical leg stiffness

Whilst the measurement and quantification of vertical leg stiffness (K_vert) asymmetry is of important practical relevance to athletic performance, literature investigating bilateral asymmetry in K_vert is limited. Moreover, how the type of task used to assess K_vert may affect the expression of asymmetry has not been properly determined. Twelve healthy males performed three types of performance tasks on a dual force plate system to determine K_vert asymmetries; the tasks were (a) bilateral hopping, (b) bilateral drop jumping and (c) unilateral drop jumping. Across all the three methods, K_vert was significantly different between compliant and stiff limbs (P < 0.001) with a significant interaction effect between limb and method (P = 0.005). Differences in K_vert between compliant and stiff limbs were ?5.3% (P < 0.001), ?21.8% (P = 0.007) and ?15.1% (P < 0.001) for the bilateral hopping, bilateral drop jumping and unilateral drop jumping methods, respectively. All the three methods were able to detect significant differences between compliant and stiff limbs, and could be used as a diagnostic tool to assess K_vert asymmetry. Drop jumping tasks detected larger K_vert asymmetries than hopping, suggesting that asymmetries may be expressed to a greater extent in acyclic, maximal performance tasks.     

The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation*

In this study, structural equation modeling is applied to examine the determinants of students' satisfaction and their perceived learning outcomes in the context of university online courses. Independent variables included in the study are course structure, instructor feedback, self‐motivation, learning style, interaction, and instructor facilitation as potential determinants of online learning. A total of 397 valid unduplicated responses from students who have completed at least one online course at a university in the Midwest were used to examine the structural model. The results indicated that all of the antecedent variables significantly affect students' satisfaction. Of the six antecedent variables hypothesized to affect the perceived learning outcomes, only instructor feedback and learning style are significant. The structural model results also reveal that user satisfaction is a significant predictor of learning outcomes. The findings suggest online education can be a superior mode of instruction if it is targeted to learners with specific learning styles (visual and read/write learning styles) and with timely, meaningful instructor feedback of various types.