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Showing all 12 results Save | Export
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Lawless, Kimberly A.; Kulikowich, Jonna M. – Journal of Educational Computing Research, 1996
Examines the navigational profiles of 42 undergraduate students processing a hypertext document. Three profiles emerged: (1) knowledge seekers, (2) feature explorers, and (3) apathetic hypertext users. Results indicate that students who are interested in computers and hypertext but who don't possess relevant amounts of domain knowledge aligned…
Descriptors: Cluster Analysis, Cognitive Style, Computer Assisted Instruction, Computer Attitudes
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Ames, Pat C. – Journal of Educational Computing Research, 2003
University students' attitudes toward computers were assessed as a function of learning style. Analyses of responses provided by 232 students to a learning style assessment instrument and a computer attitude survey revealed that specific learning styles were associated with an affinity for (liking of), confidence in, and anxiety about the use of…
Descriptors: Teaching Methods, Student Attitudes, Cognitive Style, Gender Differences
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Morgil, Inci; Özyalçin Oskay, Özge; Yavuz, Soner; Arda, Seçil – Turkish Online Journal of Educational Technology - TOJET, 2003
The objective of the research is to learn if learning level of the university students in redox subject of chemistry education change when they use traditional learning method and computer supported method, and to compare these two methods by measuring their success through pre- test and final test. And also some factors that may affect the…
Descriptors: Computer Assisted Instruction, Chemistry, College Science, Science Instruction
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Shaw, Graham; Marlow, Nigel – Computers & Education, 1999
Describes a study conducted at the University of North London (England) that used an illuminative approach to evaluate undergraduate students' initial attitudes towards the use of information and communication technology. Discusses results of Honey and Mumford's learning style questionnaire and a factor analysis of student attitudes that included…
Descriptors: Cognitive Style, Computer Assisted Instruction, Computer Attitudes, Educational Technology
Lee, In-Sook – 2000
This research explores how learners perceive a Web-based learning environment integrated with a traditional classroom, as well as what learning styles are usually identified in this environment. Participants were 156 students at a university in Seoul, Korea, who were surveyed after the semester was over. The majority of them (89.1%) had…
Descriptors: Academic Achievement, Cognitive Style, Computer Assisted Instruction, Computer Attitudes
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Graff, Martin – Electronic Journal of e-Learning, 2003
The studies described in this paper sought to investigate several forms of online learning and assessment methods in terms their efficacy in facilitating student learning. The studies also sought to investigate how participants rated each method. Attitudes toward computer-assisted learning were not related to performance on each of the online…
Descriptors: Online Courses, Electronic Learning, Educational Technology, Technology Uses in Education
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McCarthy-Tucker, Sherri N. – Community College Journal of Research and Practice, 1999
Investigates which students most benefit from electronically assisted instruction by looking at how students choose to learn when given a variety of traditional and electronic options in an Introductory Psychology course. Finds that young, White males and Native American students were more likely to choose the electronic options. Contains 15…
Descriptors: Academic Achievement, Cognitive Style, Community Colleges, Computer Assisted Instruction
Fortney, Patrick M. – Contributions to Music Education, 1995
Utilizes the Gregoric Style Delineator (GSD) and other questionnaire instruments to determine the effects of learning styles on the effectiveness of music instruction via interactive audio CD-ROM. Results showed little statistical difference between learning styles. Includes concise descriptions of Gregoric and others' research into learning…
Descriptors: Cognitive Processes, Cognitive Style, Computer Assisted Instruction, Computer Attitudes
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Chou, Huey-Wen; Wang, Yu-Fang – Journal of Educational Computing Research, 1999
Compares the effects of two training methods on computer attitude and performance in a World Wide Web page design program in a field experiment with high school students in Taiwan. Discusses individual differences, Kolb's Experiential Learning Theory and Learning Style Inventory, Computer Attitude Scale, and results of statistical analyses.…
Descriptors: Analysis of Covariance, Aptitude Treatment Interaction, Cognitive Style, Comparative Analysis
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Morgil, Inci; Erökten, Seçil; Yavuz, Soner; Özyalçin Oskay, Özge – Turkish Online Journal of Educational Technology - TOJET, 2004
It is difficult for the students to understand some concepts related to the chemistry education such as complex formation, central ion, ligand, free electron pair, acceptor, donor, stability constant of complex and concealing. In those cases, demonstrating two dimensional models and using various molecular graphics programs on computers could be…
Descriptors: Chemistry, Visual Aids, Science Instruction, Computer Assisted Instruction
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Riding, Richard J.; Rayner, Stephen – Educational Psychology, 1995
Considers the possibilities and implications of integrating psychoeducational methods and processes with the interactive transfer of information on a worldwide basis. Identifies various components and characteristics of this integration and presents some broad models of how it might work. Emphasizes the importance of educational psychology to this…
Descriptors: Cognitive Processes, Cognitive Style, Computer Assisted Instruction, Computer Attitudes
Henderson, George; Nash, Susan Smith – Charles C. Thomas, Publisher, Ltd, 2007
This book will improve the quality of instruction that college students need. It makes numerous suggestions that must be tended to when teachers instruct students. For example, the authors speculate about ways teachers can present what may at times seem to be a mountain of information without burying students under it; why teachers must…
Descriptors: Notetaking, Short Term Memory, Internet, Discussion Groups