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Showing 1 to 15 of 62 results Save | Export
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Da Tien Nguyen – International Electronic Journal of Mathematics Education, 2025
This study conducted a bibliometric analysis to investigate the trends and patterns in the application of artificial intelligence (AI) in mathematics education during the period 2020-2025. By analyzing a large dataset of scholarly publications, the study aims to identify the key research areas, influential researchers, and emerging trends in this…
Descriptors: Foreign Countries, Literature Reviews, Bibliometrics, Artificial Intelligence
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Siska Wati Dewi Purba; Bertha Natalina Silitonga; John Jackson Yang – Turkish Online Journal of Distance Education, 2025
The rapid advancement of artificial intelligence (AI) is pervasive across numerous fields, including education. However, previous literature reviews have not thoroughly examined the current trends in research design pertaining to AI-assisted learning, nor have they sufficiently addressed the roles of AI applications and teachers within this…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Educational Trends
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Erick Fernando; Rosilah Hassan; Dina Fitria Murad; Zeyad Ghaleb Al-Mekhlafi – Educational Process: International Journal, 2025
Background/purpose: Education continues to evolve along with technological advances, and one of the biggest changes is the application of artificial intelligence (AI) in the learning process. The main problem in this study is the lack of in-depth understanding of the factors that influence the effectiveness of using AI in self-paced learning…
Descriptors: Literature Reviews, Meta Analysis, Bibliometrics, Artificial Intelligence
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Moore, Robert L.; Jiang, Shiyan; Abramowitz, Brian – Journal of Research on Technology in Education, 2023
This systematic review examines the empirical literature published between 2014 and 2021 that situates artificial intelligence within K-12 educational contexts. Our review synthesizes 12 articles and highlights artificial intelligence's instructional contexts and applications in K-12 learning environments. We focused our synthesis on the learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Computer Assisted Instruction
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Kadir Karakaya; Muhammet Furkan Alpat; Hasan Uçar; Özlem Karakaya; Aras Bozkurt – Technology in Language Teaching & Learning, 2025
The increasing integration of generative Artificial Intelligence (AI) tools, such as ChatGPT, in education has prompted growing interest in their pedagogical potential and the emergent competencies required for their effective use in language instruction. While generative AI is beginning to influence language teaching and learning practices,…
Descriptors: Literature Reviews, Bibliometrics, Algorithms, Language Teachers
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Ying Yang – Education and Information Technologies, 2025
Vocabulary acquisition is crucial for language learning, yet learners face substantial challenges in memorizing extensive vocabulary. Numerous studies suggest Artificial Intelligence (AI)-based technologies could significantly improve vocabulary acquisition among K-12 learners. Therefore, instructors or teachers must be fully informed of the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Vocabulary Development
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Suwicha Wittayakom; Chintana Kanjanavisutt; Methinee Wongwanich Rumpagaporn – Higher Education Studies, 2024
This systematic literature review explores the implementation and effectiveness of active learning approaches in online training environments. The rapid growth of online education necessitates strategies that enhance learner engagement and improve educational outcomes. The review identifies various active learning techniques, such as discussions,…
Descriptors: Online Courses, Training, Active Learning, Learning Strategies
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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
Suijing Yang; Daniel Taylor-Griffiths; Fabienne van der Kleij; Pauline Taylor-Guy; Ralph Saubern – Australian Council for Educational Research, 2025
Many existing reviews of educational technologies focus on the affordances of specific types of technology rather than how different technologies can be designed and used to achieve specific teaching and learning objectives. Furthermore, there appears to be a widely held assumption that the use of educational technology will result in improved…
Descriptors: Teacher Empowerment, Educational Technology, Technology Uses in Education, Technology Integration
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Keuning, Hieke; Jeuring, Johan; Heeren, Bastiaan – ACM Transactions on Computing Education, 2019
Formative feedback, aimed at helping students to improve their work, is an important factor in learning. Many tools that offer programming exercises provide automated feedback on student solutions. We have performed a systematic literature review to find out what kind of feedback is provided, which techniques are used to generate the feedback, how…
Descriptors: Programming, Teaching Methods, Computer Science Education, Feedback (Response)
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Bibauw, Serge; François, Thomas; Desmet, Piet – Research-publishing.net, 2015
Dialogue-based Computer-Assisted Language Learning (CALL) covers applications and systems allowing a learner to practice the target language in a meaning-focused conversational activity with an automated agent. We first present a common definition for dialogue-based CALL, based on three features: dialogue as the activity unit, computer as the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teaching Methods
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Slavuj, Vanja; Meštrovic, Ana; Kovacic, Božidar – Computer Assisted Language Learning, 2017
Adaptive and intelligent instructional systems are used to deal with the issue of learning personalisation in contexts where human instructors are not immediately available, so their role is transferred entirely or in part onto the computer. Even though such systems are mostly developed for well-defined domains that have a rather straightforward…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Intelligent Tutoring Systems
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Lewin, Cathy; Smith, Andrew; Morris, Stephen; Craig, Elaine – Education Endowment Foundation, 2019
The Education Endowment Foundation (EEF) review of the impact of digital technology on learning, "The Impact of Digital Technology on Learning: A Summary for the Education Endowment Foundation. Full Report" (Higgins et al., 2012) (ED612174), found positive benefits but noted that how technology is used (the pedagogy) is key and that…
Descriptors: Technology Uses in Education, Educational Improvement, Influence of Technology, Foreign Countries
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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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Belland, Brian R.; Walker, Andrew E.; Kim, Nam Ju – Review of Educational Research, 2017
Computer-based scaffolding provides temporary support that enables students to participate in and become more proficient at complex skills like problem solving, argumentation, and evaluation. While meta-analyses have addressed between-subject differences on cognitive outcomes resulting from scaffolding, none has addressed within-subject gains.…
Descriptors: Bayesian Statistics, Meta Analysis, STEM Education, Computer Assisted Instruction
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