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Jia Zhang; Zhuo Zhang – Journal of Computer Assisted Learning, 2024
Background: AI can positively influence teaching by offering support for classroom management, creating inclusive learning environments, enhancing digital skills, personalizing teaching methods, and strengthening teacher-student relationships. Objectives: This quantitative research study investigates the opportunities, difficulties, and…
Descriptors: Inclusion, Teaching Methods, Computer Assisted Instruction, Barriers
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Gibbons, L. – Journal of Computer Assisted Learning, 1986
Factors which may impede or promote development of computer assisted instruction are identified through interviews with teachers to ascertain attitudes and learn how computer experience had been gained, visiting a school to track computer usage, and recording first experiences of computer software use in classrooms. Suggestions for initiation…
Descriptors: Change Strategies, Computer Assisted Instruction, Computer Literacy, Computer Software
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Light, Paul; Colbourn, C.; Light, V. – Journal of Computer Assisted Learning, 1997
Psychology students at the University of Southampton use "skywriting," an e-mail based discussion medium involving tutors and students and focusing on issues arising from course content. This article discusses student participation in skywriting; examines effects of gender, computer attitudes, and computer experience; compares student…
Descriptors: Case Studies, College Curriculum, College Students, Computer Assisted Instruction
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Hammond, M. – Journal of Computer Assisted Learning, 1994
Considers the impact of information technology (IT) on children's learning in schools with particular reference to two studies that examined the value of using IT. Discussion includes the difficulties of evaluating IT effectiveness and some explanations for the insignificant impact of IT in the studies. (13 references) (KRN)
Descriptors: Computer Assisted Instruction, Computer Literacy, Control Groups, Courseware