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Sürüç Sen, Nur – Journal of Learning and Teaching in Digital Age, 2021
The present article provides a review of 48 studies related to mobile assisted language learning, published mostly in the last decade with the aim of demonstrating a mind map of how mobile devices have been put into learning experience among learners with diverse backgrounds and learning settings such as formal, informal, blended, etc. In this…
Descriptors: Computer Assisted Instruction, Second Language Learning, Handheld Devices, Technology Integration
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Kuhail, Mohammad Amin; Alturki, Nazik; Alramlawi, Salwa; Alhejori, Kholood – Education and Information Technologies, 2023
Chatbots hold the promise of revolutionizing education by engaging learners, personalizing learning activities, supporting educators, and developing deep insight into learners' behavior. However, there is a lack of studies that analyze the recent evidence-based chatbot-learner interaction design techniques applied in education. This study presents…
Descriptors: Educational Technology, Computer Mediated Communication, Artificial Intelligence, Technology Uses in Education
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Bonner, Euan; Lege, Ryan; Frazier, Erin – Teaching English with Technology, 2023
Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…
Descriptors: Teaching Methods, Artificial Intelligence, Second Language Learning, Second Language Instruction
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Chen, Xieling; Zou, Di; Xie, Haoran; Cheng, Gary – Educational Technology & Society, 2021
Personalized language learning (PLL), a popular approach to precision language education, plays an increasingly essential role in effective language education to meet diverse learner needs and expectations. Research on PLL has become an active sub-field of research on technology-enhanced language learning and artificial intelligence applications…
Descriptors: Second Language Learning, Second Language Instruction, Individualized Instruction, Trend Analysis
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O'Donnell, Eileen; Lawless, Séamus; Sharp, Mary; Wade, Vincent P. – International Journal of Distance Education Technologies, 2015
The realisation of personalised e-learning to suit an individual learner's diverse learning needs is a concept which has been explored for decades, at great expense, but is still not achievable by non-technical authors. This research reviews the area of personalised e-learning and notes some of the technological challenges which developers may…
Descriptors: Electronic Learning, Individualized Instruction, Programming, Authors
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Steele, Jennifer L.; Bozick, Robert; Davis, Lois M. – Journal of Education for Students Placed at Risk, 2016
Based on screenings of 1,150 manuscripts, we synthesize evidence from 18 eligible studies of educational interventions implemented within juvenile correctional facilities. The studies include 5 intervention categories: remedial academic instruction, computer-assisted instruction, personalized academic instruction, vocational education, and GED…
Descriptors: Meta Analysis, Juvenile Justice, Institutionalized Persons, Correctional Institutions
Cooper, Harris – National Council of Teachers of Mathematics, 2008
Perhaps more than any question other than "How much time should students spend doing homework?" parents and educators want to know, "What kinds of homework assignments are most effective?" Clearly, the answers to this question vary according to many factors, especially the developmental level of students and the topic area. Generally, answers are…
Descriptors: Homework, Instructional Effectiveness, Individualized Instruction, Group Activities
Vos, Hans J. – 1988
This paper considers applications of decision theory to the problem of instructional decision-making in computer-based adaptive instructional systems, using the Minnesota Adaptive Instructional System (MAIS) as an example. The first section indicates how the problem of selecting the appropriate amount of instruction in MAIS can be situated within…
Descriptors: Computer Assisted Instruction, Decision Making, Higher Education, Individualized Instruction
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Kolich, Eileen M. – Journal of Learning Disabilities, 1985
In special education, computers can assist with individualized instruction and manage recordkeeping, but instructional applications are frequently limited by software. Educators must become advocates by supporting computer literacy programs and becoming consultants for researchers and software developers to assure the development of quality…
Descriptors: Computer Assisted Instruction, Computer Software, Elementary Secondary Education, Individualized Instruction
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Lou, Yiping; Abrami, Philip C.; d'Apollonia, Sylvia – Review of Educational Research, 2001
Synthesized the empirical research on the effects of social context (small group versus individual learning) when students learn using computer technology. Analyzed 486 independent findings from 122 studies involving 11,317 learners. On average, small group learning had more positive effects, but findings on both individual achievement and group…
Descriptors: Class Size, Computer Assisted Instruction, Educational Technology, Individualized Instruction
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Adams, Mignon – Library Trends, 1980
Describes techniques currently used to instruct individual library users, including library tours, handbooks, guides, programed instruction, and computer-assisted instruction. (FM)
Descriptors: Computer Assisted Instruction, Individualized Instruction, Library Instruction, Programed Instruction
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Fitzpatrick, Karen – Reading Improvement, 1988
Suggests ways to use microcomputers to teach reading skills to students with learning disabilities. Discusses the operation of microcomputers, learner-centered software, and current research. Concludes that using microcomputers to remediate reading difficulties has great potential, provided the needs of the individual student are met. (RS)
Descriptors: Computer Assisted Instruction, Elementary Education, Individualized Instruction, Learning Disabilities
Dence, Marie – Educational Technology, 1980
This examination of computer-assisted instruction (CAI) covers early predictions concerning CAI, the variables that have been addressed by CAI research, guidance in identifying the effectiveness of CAI, and future directions for CAI in education. (MER)
Descriptors: Bibliographies, Computer Assisted Instruction, Feedback, Individualized Instruction
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Campbell, Marci Kramish; Bernhardt, Jay M.; Waldmiller, Michael; Jackson, Bethany; Potenziani, Dave; Weathers, Benita; Demissie, Seleshi – Patient Education and Counseling, 1999
Examines the effect of message source on message recall and perceived credibility in a study comparing two different computer-tailored bulletins promoting fruit and vegetable consumption among rural African American church members. An expert oriented (EXP) bulletin was compared with a spiritual oriented (SPIR) bulletin. The majority of both groups…
Descriptors: Blacks, Computer Assisted Instruction, Credibility, Health Education
Schmitt, Dorren R. – 1990
This paper reviews empirical studies of the efficacy of the use of computer assisted instruction (CAI) in various settings, with particular attention to the use of CAI to teach mathematics skills and concepts. Studies using students at various ages and various subjects are considered, as are applications in which CAI was used as the primary…
Descriptors: Cognitive Processes, Comparative Analysis, Computer Assisted Instruction, Courseware
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