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Tugtekin, Ufuk – Journal of Educational Technology, 2022
The development of web-based technologies and mobile devices, as well as their widespread usage, create favorable conditions for cyberloafing behaviors, raising the effects of cyberloafing in educational settings. The current study, which examined the behavioral levels and reasons of cyberloafing committed by college students in lectures, as well…
Descriptors: Undergraduate Students, Student Attitudes, Self Efficacy, Academic Ability
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Ronen, Ilana Klima; Sachyani, Dana – International Journal of Science Education, 2023
Helping preservice teachers use hybrid language representations in science is important if they are to become scientifically literate and able to engage in the discourse for understanding scientifiyc issues. Using hybrid language representations based on the framework of computer-supported collaborative learning, the teacher educator applied the…
Descriptors: Biochemistry, Science Teachers, Preservice Teachers, Teacher Education Programs
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Lowyck, Joost; Poysa, Johanna; Van Merrienboer, Jeroen – Technology, Instruction, Cognition and Learning, 2003
Explores how instructional design can contribute to building powerful learning environments. Highlights include a history of instructional design; personalized computer environments; collaborative learning; interaction and student-centered, knowledge-centered, assessment-centered, and community-centered learning environments; and the importance of…
Descriptors: Academic Ability, Computer Assisted Instruction, High Risk Students, Information Technology
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Clariana, Roy B. – Journal of Computing in Childhood Education, 1992
Examined the effect of providing progress reports for 24 weeks to first and second graders in a computer-based instruction environment. Results indicated that providing progress reports may produce small, short-term gains in rate of lesson completion for some students. (BC)
Descriptors: Academic Ability, Computer Assisted Instruction, Elementary School Students, Longitudinal Studies
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Derry, Sharon J.; Potts, Michael K. – American Educational Research Journal, 1998
Studied five tutors' personal constructs about their students, as identified by repertory grid interviews and interpreted by cluster analysis. All tutors judged and classified students in similarly defined terms of motivation and intellectual ability. Implications for programming computer-based tutors are discussed. (Author/MAK)
Descriptors: Academic Ability, Cluster Analysis, College Students, Computer Assisted Instruction
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Klein, James D.; Keller, John M. – Journal of Educational Research, 1990
This study (N=75) examined the effects of student ability, locus of control, and type of instructional control on performance and the motivational outcome of confidence. Results indicated that student ability and locus of control significantly influenced both performance and confidence, whereas type of instructional control did not affect…
Descriptors: Academic Ability, Academic Achievement, Computer Assisted Instruction, Grade 7
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Pryor, Amanda Z.; And Others – T.H.E. Journal, 1996
The Ann Arbor Public Schools and University of Michigan partnership created the Foundations of Science (FOS) course, designed to integrate the high school science sequence into a three-year project based upon real-life science investigations. Specially designed software, information technology, and Internet resources were utilized. Student…
Descriptors: Academic Ability, Computer Assisted Instruction, Computer Software Development, Educational Technology