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Acharya, Anal; Sinha, Devadatta – Journal of Educational Technology Systems, 2018
This study uses homogeneity in personal learning styles and heterogeneity in subject knowledge for collaborative learning group decomposition indicating that groups are "mixed" in nature. Homogeneity within groups was formed using K-means clustering and greedy search, whereas heterogeneity imbibed using agenda-driven search. For checking…
Descriptors: Cooperative Learning, Outcomes of Education, Multiple Regression Analysis, Cognitive Style
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Liew, Tze Wei; Tan, Su-Mae; Seydali, Rouzbeh – Journal of Educational Technology Systems, 2014
The present study examined the relationship among learners' differences, behaviors in manipulating variables, and learning achievements in a simulation-based program that supports discovery learning in the subject of C-programming algorithm. Participants (n = 66) took the Group Embedded Figures Test, Action Control Scale, and Computer…
Descriptors: Computer Simulation, Individual Differences, Self Efficacy, Student Behavior
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Zogheib, Salah – Journal of Educational Technology Systems, 2014
As the majority of educational research has focused on preservice teachers' computer use for "educational purposes," the question remains: Do preservice teachers use computer technology for daily life activities and encounters? And do preservice teachers' personality traits and motivational beliefs related to computer training provided…
Descriptors: Preservice Teachers, Computer Use, Computer Uses in Education, Educational Technology
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Smith, Samara; Chipley, Laura – Journal of Educational Technology Systems, 2015
This article describes the implementation and outcomes of incorporating creative digital assignments that utilize emergent social technologies in six college courses across the curriculum during the Spring 2015 term. These projects were supported by a digital learning center providing a website of short video and text tutorials, assignment…
Descriptors: Electronic Learning, College Students, Technology Uses in Education, Resource Units
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Ben-Jacob, Marion G.; Liebman, Judith T. – Journal of Educational Technology Systems, 2010
Technology has been integrated into academia. The 21st century learner will be a life-long learner and students need to be comfortable and familiar with computers and technology. Computers are part of the educational environment independent of the different learning styles of the students. Regardless of the major field of study elected by a…
Descriptors: Colleges, Computer Literacy, Educational Technology, Computer Uses in Education
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Adams, Ruifang Hope; Strickland, Jane – Journal of Educational Technology Systems, 2011
This study investigated the effects of computer-assisted feedback strategies that have been utilized by university students in a technology education curriculum. Specifically, the study examined the effectiveness of the computer-assisted feedback strategy "Knowledge of Response feedback" (KOR), and the "Knowledge of Correct…
Descriptors: Feedback (Response), Control Groups, Technology Education, Experimental Groups
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Erlich, Zippy; Gadot, Rivka; Shahak, Daphna – Journal of Educational Technology Systems, 2009
Studies indicate that the use of technologies as teaching aids and tools for self-study is influenced by students' attitudes toward computers and their applications. The purpose of this study is to determine whether taking a Computer Literacy and Applications (CLA) course has an impact on students' attitudes toward computer applications, across…
Descriptors: Student Attitudes, Computer Attitudes, Social Sciences, Computers
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O'Connor, Eileen – Journal of Educational Technology Systems, 2011
Given the challenges facing higher education in the fast-changing educational and social environment, what can be learned from an instructor who has braved the rapidly changing stream of technologies and has subsequently developed a personal and productive approach to using emerging technologies to teach better and farther? What aspects of…
Descriptors: Student Attitudes, Distance Education, Online Courses, Social Environment
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Koroghlanian, Carol M.; Brinkerhoff, Jonathan – Journal of Educational Technology Systems, 2008
Learner analysis and needs assessments are basic elements of all instructional design models and are of concern to those designing distance education courses. This investigation surveyed 249 geographically dispersed online students' computer skills and attitudes toward Internet-delivered instruction. Results were assessed by demographics. Results…
Descriptors: Computer Uses in Education, Educational Technology, Internet, Graduate Students
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Norum, Pamela S.; Weagley, Robert O. – Journal of Educational Technology Systems, 2007
The Internet has experienced phenomenal growth in higher education. In addition to many pedagogical benefits, there are potential risks to the student users, including identity theft. This study examined the extent to which selected online practices that could minimize the risk of financial identity theft are used by college students. Data were…
Descriptors: College Students, Risk, Multivariate Analysis, Internet
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Shiue, Ya-Ming – Journal of Educational Technology Systems, 2003
This study examines the influences of learners' characteristics on the development of computer self-efficacy using the GOMS (goal, operators, methods, and selection rules) model. Students' learning style, prior computer course experience, and computer self-efficacy were measured in the pretest, and computer self-efficacy was measured in the…
Descriptors: Introductory Courses, Cognitive Style, Self Efficacy, Literacy