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Showing 1 to 15 of 21 results Save | Export
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Caroline Marx; Stephanie Roesch; Korbinian Moeller; Christiane Benz – International Electronic Journal of Mathematics Education, 2025
Understanding part-whole relations is crucial in early mathematics education. However, both analogue and digital learning environments often lack systematic approaches to foster part-whole understanding. With the rising popularity of educational apps, it is essential to evaluate how they implement learning of part-whole relations. Accordingly,…
Descriptors: Mathematics Instruction, Computer Software, Teaching Methods, Computer Assisted Instruction
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Mohammed Ali Mohsen; Sultan Althebi; Saba Qadhi – European Journal of Education, 2025
This bibliometric analysis explores the evolution of Computer-Assisted Language Learning (CALL) research spanning from 1979 to 2023. The study meticulously examines various metrics of CALL research across the past four decades, focusing on geographical and institutional productivity, citation impact, and the thematic co-occurrence of keywords.…
Descriptors: Computer Assisted Instruction, Second Language Learning, Foreign Countries, English (Second Language)
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Yaxin Tu; Qiyun Wang; Changqin Huang – International Review of Research in Open and Distributed Learning, 2025
Learners' emotional engagement in synchronous online learning (SOL) is critical for improving learning persistence and performance. Nevertheless, there is currently a lack of comprehensive and systematic reviews of emotional engagement in SOL. This review synthesizes the strategies to promote emotional engagement in SOL found in published…
Descriptors: Student Participation, Psychological Patterns, Synchronous Communication, Electronic Learning
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Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
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Khoirudin Asfani; Hsiu-Ling Chen – Education and Information Technologies, 2025
Although the Computer-Supported Collaborative Learning (CSCL) practice has a trend in its application, limited information exists in the literature on CSCL studies with Problem/Project-Based Learning in Computer Education. Therefore, this study reviewed 37 Social Science Citation Indexed (SSCI) articles on Problem/Project-Based CSCL practice in…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Research Methodology, Educational Technology
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Matthew K. Burns; McKinzie D. Duesenberg-Marshall; Monica E. Romero; Katya J. Sussman-Dawson; Emily Singell – Journal of Special Education Technology, 2025
The current study meta-analyzed 17 effects from 12 studies to examine the effect of technology-based mathematical fact practice on mathematics outcomes, and how comparison intervention, risk for mathematics disabilities, and type of measure modified the results. There was a moderate effect of technology-based mathematical fact practice on…
Descriptors: Mathematics Instruction, Computer Assisted Instruction, Risk, Disabilities
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Kubra Acikgul; Kubra Onuk Keskin – International Journal of Education in Mathematics, Science and Technology, 2025
This study aimed to investigate research trends regarding the use of GeoGebra in educational research through bibliometric analysis. 301 articles published in the Web of Science database between 2009 and 2023 were included in the research. Web of Science database and VOSviewer program were used during bibliometric analysis. Performance analysis…
Descriptors: Computer Software, Mathematics Instruction, Authors, Information Retrieval
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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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Yijia Hao; Yushi Liu; Bo Liu; George Amarantidis; Rami Ghannam – IEEE Transactions on Education, 2025
Contribution: The integration of artificial intelligence (AI) in engineering higher education is becoming increasingly important nowadays. This article contributes to the Scholarship of Integration by providing a comprehensive review of current research on AI integration in engineering higher education and presenting a pilot AI introductory module…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Artificial Intelligence
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Elisabeth Ransanz Reyes; Ainhoa Arana-Cuenca; Ana Isabel Manzanal Martínez – Journal of Technology and Science Education, 2025
Online learning, especially in higher education, has grown in recent years and the study of its didactic implications has also increased. Online experiences have been found to be as successful as face-to-face ones, but there is a concern about a lack of social interaction among students. This makes it necessary for teachers to plan collaborative…
Descriptors: Curriculum Design, Online Courses, Higher Education, Cooperative Learning
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Nancy Wolfe; Devon Duhaney – Journal of Interactive Learning Research, 2025
Podcasts are increasingly being used for educational purposes within and outside of the classroom. In the English as a New Language (ENL) classroom, podcasts have been used as a source of authentic auditory input to supplement traditional pedagogical materials. The creation of podcasts by learners has been widely used to encourage language…
Descriptors: Student Developed Materials, Educational Technology, Computer Mediated Communication, Computer Assisted Instruction
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Feifei Wang; Alan C. K. Cheung; Amanda J. Neitzel; Ching Sing Chai – Review of Educational Research, 2025
Given the importance of conversation practice in language learning, chatbots, especially ChatGPT, have attracted considerable attention for their ability to converse with learners using natural language. This review contributes to the literature by examining the currently unclear overall effect of using chatbots on language learning performance…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Second Language Learning
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Rahul Mohandas; Subhashree Mohapatra – Digital Education Review, 2025
Game-based learning (GBL) is an effective learning tool for medical and dental undergraduates in enhancing knowledge and skills as well as gaining student engagement and motivation. Educational games can create a social constructivist learning environment, where learners can construct their knowledge through interactions with their peers and…
Descriptors: Undergraduate Students, Dentistry, Game Based Learning, Student Motivation
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De-Chih Lee; Ching-Yi Chang – Education and Information Technologies, 2025
During the digital age, self-directed learning has emerged as an effective teaching strategy in designing class activities within the educational sphere, prompting an investigation into its impact on the effectiveness of instruction in the K-12 context. This article presents a meta-analysis aimed at examining the efficacy of self-directed learning…
Descriptors: Elementary School Students, Secondary School Students, Independent Study, Active Learning
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Efsun Birtwistle; Olga Chernikova; Miriam Wünsch; Frank Niklas – SAGE Open, 2025
We investigated the effect of cognitive training of executive functions on children's cognitive outcomes. To address this issue, a systematic meta-analysis of published research articles on cognitive training interventions was performed considering children's age, training duration, -procedure, and -technology in moderator analyses. The results (N…
Descriptors: Preschool Children, Elementary School Students, Middle School Students, Executive Function
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