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Chen, Ching-Huei; Wu, I.-Chia – Computers & Education, 2012
A path model was used to test the unique and interactive effects of cognitive and motivational variables when learning in a supportive online learning system, Collaborative Inquiry System (CIS). In this student-centered learning environment, students interact with computer simulations and are assisted by online scaffolds intended to help them…
Descriptors: Electronic Learning, Physical Education, Online Courses, Learning Strategies
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Lau, Wilfred W. F.; Yuen, Allan H. K. – Computers & Education, 2010
It has been advocated that pedagogical content knowledge as well as subject matter knowledge are important for improving classroom instructions. To develop pedagogical content knowledge, it is argued that understanding of students' mental representations of concepts is deemed necessary. Yet assessing and comparing mental model of each individual…
Descriptors: Identification, Mathematics Instruction, Pedagogical Content Knowledge, Cognitive Style
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Takatalo, Jari; Hakkinen, Jukka; Kaistinen, Jyrki; Nyman, Gote – Simulation & Gaming, 2011
Playing entertainment computer, video, and portable games, namely, digital games, is receiving more and more attention in academic research. Games are studied in different situations with numerous methods, but little is known about if and how the playing situation affects the user experience (UX) in games. In addition, it is hard to understand and…
Descriptors: Video Games, Measurement Techniques, Laboratories, Males
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Perleth, Christoph; Heller, Kurt A. – Educational Research and Evaluation, 2007
It is of major importance to use psychological tests and questionnaires that are carefully constructed so that their reliability and validity can be determined in different (sub)cultures (Campbell & Tirri, 2004). However, a necessary prerequisite for this is the development of solid conceptual constructs. Otherwise, the researcher runs into the…
Descriptors: Psychological Studies, Research Methodology, Psychometrics, Models
Johnson, Kerry A.; White, Marilyn D. – 1981
This study was conducted to identify the cognitive style of students enrolled in a graduate program in library and information science and to examine the relationship between the identified style and other personal variables, such as age, undergraduate major, preference for future institutional affiliation, and preference for future functional…
Descriptors: Cognitive Measurement, Cognitive Style, Data Collection, Graduate Students
Tracey, Terence J.; Sedlacek, William E. – 1980
A two-dimensional model proposing three predictor dimensions (cognitive, noncognitive, and combined) and four criterion dimensions (grade point average (GPA), enrolled or not, graduate or not, and less traditional criteria) is presented. Preliminary results of a study using the model to examine both white and minority student predictors of…
Descriptors: Affective Measures, Black Students, Cognitive Measurement, College Freshmen