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Wissal EL Fougour; Mohamed Erradi – International Journal of Technology in Education, 2025
Feedback is an integral aspect of developing self-regulated learning in that it enables the student an opportunity for reflection, making changes, and learning. The computer-based feedback system supports this systematic review in exploring how improvement in academic performance, metacognitive reasoning, and emotional resilience has taken place…
Descriptors: Computer Assisted Instruction, Feedback (Response), Individualized Instruction, Academic Achievement
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Yang Chen – International Journal of Web-Based Learning and Teaching Technologies, 2025
With the rapid advancement of information technology, the Intelligent Teaching System (ITS) has emerged as a pivotal tool in mathematics education. This paper aims to evaluate the effectiveness of ITS by exploring its impact on personalized learning, increased student interaction and participation, intelligent assessment and feedback, teacher…
Descriptors: Learning Management Systems, Mathematics Education, Technology Uses in Education, Student Participation
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Galiya Ldokova; Svetlana Frumina; Suad Abdalkareem Alwaely – Smart Learning Environments, 2025
The aim of the study is to examine the influence of students' psychotypes on their learning using digital educational technologies within the Metaverse. In the course of the longitudinal experimental study, the results of the initial testing of 79 students during their undergraduate studies and the re-testing of 75 of these students during their…
Descriptors: Undergraduate Students, Graduate Students, Psychological Characteristics, Brain
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Zahra Sadat Roozafzai; Parisa Zaeri – Journal of Educational Technology, 2024
This study investigates the transformative potential of integrating Artificial Intelligence (AI), animation, and personalized learning in contemporary education. Employing a mixed-methods approach involving interviews and experimental manipulations, the research examines the interconnectedness of these three domains and their collective impact on…
Descriptors: Artificial Intelligence, Animation, Individualized Instruction, Intersectionality
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Walsh, Rupert – Advances in Language and Literary Studies, 2021
Mobile Assisted Language Learning (MALL) is now common in extra-curricular language learning, but, more recently, teachers have increasingly sought ways to utilise MALL as a communicative classroom tool. Research into the extent that MALL can transform a whole communicative language course, and learners' impressions of such courses, is scarce.…
Descriptors: Teaching Methods, Communicative Competence (Languages), Computer Assisted Instruction, Telecommunications
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McCarthy, Kathryn S.; Watanabe, Micah; Dai, Jianmin; McNamara, Danielle S. – Journal of Research on Technology in Education, 2020
Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have…
Descriptors: Game Based Learning, Reading Comprehension, High School Students, Educational Technology
McCarthy, Kathryn S.; Watanabe, Micah; Dai, Jianmin; McNamara, Danielle S. – Grantee Submission, 2020
Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have…
Descriptors: Game Based Learning, Reading Comprehension, High School Students, Educational Technology
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Amro, Falah; Borup, Jered – Journal of Online Learning Research, 2019
Schools are increasingly adopting adaptive learning software to better customize instruction to students' personal needs. While personalized software is not designed to replace the teacher, it does change teachers' roles and responsibilities. However, research is lacking that examines how teachers implement the software and use the provided data…
Descriptors: Blended Learning, Teacher Role, Barriers, Computer Software
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Campigotto, Rachelle; McEwen, Rhonda; Epp, Carrie Demmans – Computers & Education, 2013
A five-month exploratory study was conducted with iOS mobile devices in two Toronto area schools with students in grades 7 through 12. Both classrooms were identified as Special Education classes by the Ontario Ministry of Education, and each student was identified as having exceptionalities requiring additional support and differentiation within…
Descriptors: Foreign Countries, Special Needs Students, Vocabulary, Information Processing
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Meluso, Angela; Zheng, Meixun; Spires, Hiller A.; Lester, James – Computers & Education, 2012
Many argue that games can positively impact learning by providing an intrinsically motivating and engaging learning environment for students in ways that traditional school cannot. Recent research demonstrates that games have the potential to impact student learning in STEM content areas and that collaborative gameplay may be of particular…
Descriptors: Self Efficacy, Grade 5, Educational Games, STEM Education
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Fernandez-Lopez, Alvaro; Rodriguez-Fortiz, Maria Jose; Rodriguez-Almendros, Maria Luisa; Martinez-Segura, Maria Jose – Computers & Education, 2013
Students with special education have difficulties to develop cognitive abilities and acquire new knowledge. They could also need to improve their behavior, communication and relationships with their environment. The development of customizable and adaptable applications tailored to them provides many benefits as it helps mold the learning process…
Descriptors: Foreign Countries, Electronic Learning, Educational Needs, Student Needs
Shoemaker, Traci L. – ProQuest LLC, 2013
The purpose of this quasi-experimental non-equivalent control group study was to test theories of constructivism and motivation, along with research-based teaching practices of differentiating instruction and instructing within a child's Zone of Proximal Development, in measuring the effect of computer-aided instruction on fifth grade students'…
Descriptors: Grade 5, Elementary School Students, Quasiexperimental Design, Constructivism (Learning)
Endreweit, Mari E. – Learning, 1985
A teacher discusses how computers can be used in the classroom to increase individualization, motivation, and creativity. (DF)
Descriptors: Computer Assisted Instruction, Elementary Education, Individualized Instruction, Learning Strategies
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Perry, Tom; Keyser, Ed – Clearing House, 1979
Computer Assisted Instruction (CAI), such as PLATO (Programmed Logic for Automatic Teaching Operation), TICCIT (Time-Shared Interactive Computer Controlled Information Television), Computer Managed Instruction (CMI), and representative military applications of computers are described and discussed. (KC)
Descriptors: Computer Assisted Instruction, Computer Managed Instruction, Educational Opportunities, Educational Philosophy
White, Mary-Alice – Educational Technology, 1992
Discusses whether integrated learning systems (ILSs) provide good education and suggests the need to consider what learning technologies can deliver best and what humans can teach best. Opposition to ILSs is discussed, focusing on negative views of machines; and support for ILSs is reviewed, including individualized instruction and motivation.…
Descriptors: Computer Assisted Instruction, Computer Managed Instruction, Individualized Instruction, Instructional Effectiveness
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