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Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
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
Zixi Li; Curtis J. Bonk – Computer Assisted Language Learning, 2025
The research study explored online language learners' self-directed language learning (SDLL) experiences, benefits, motivations, and challenges when employing educational tools like Duolingo in an out of classroom context. To gain insights into SDLL, in-depth and semi-structured interviews with 10 Duolingo users were conducted. Study results…
Descriptors: Computer Software, Independent Study, Second Language Learning, Second Language Instruction
Mei-Shiu Chiu; Wee Tiong Seah; Hsin-Min Chen; I-Ping Wan – Education and Information Technologies, 2025
This study aims to identify teachers' selection/adoption of valuing pedagogy (VP) to implement an affect-focused mathematics teaching design with technological support. Valuing pedagogy is defined as teaching methods to address educational values and operationally defined as perceived, implemented, and received curricula, manifested by teacher…
Descriptors: Mathematics Instruction, Teaching Methods, Psychological Patterns, Technology Uses in Education
Adelina Asmawi; Md. Saiful Alam – Discover Education, 2025
In the evolving techno-educational landscape, it is crucial to reimagine transformative pedagogies based on techno-teacher collaboration to revolutionize teaching effectiveness and efficiency. Although the cutting-edge generative AI tool, Chat GPT, is speculated to be a revolutionary CALL (computer-assisted language learning) tool for teaching…
Descriptors: Reading Instruction, Teaching Methods, Computer Assisted Instruction, Instructional Effectiveness
Chelsea S. Wilson; Christopher H. Skinner; Chelsea Price; Brian Wilhoit; Mary-Beth Coleman – Journal of Behavioral Education, 2025
The effects of a computer-based reading intervention on whole word reading in three post-secondary students with intellectual and/or developmental disability were evaluated using a multiple baseline across tasks (i.e., word sets) design. Words were selected from each student's elective undergraduate social science course materials. During this…
Descriptors: Computer Assisted Instruction, Reading Instruction, College Students, Students with Disabilities
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
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
Jinzhi Zhou; Cindy E. Hmelo-Silver; Zach Ryan; Christina Stiso; Danielle Murphy; Joshua Danish; Clark A. Chinn; Ravit Golan Duncan – International Journal of Computer-Supported Collaborative Learning, 2025
Disagreement is often perceived negatively, yet it can be beneficial for learning and scientific inquiry. However, students tend to avoid engaging in disagreement. Peer critique activities offer a promising way to encourage students to embrace disagreement, which supports learning as students articulate their ideas, making them available for…
Descriptors: Persuasive Discourse, Peer Evaluation, Criticism, Elementary School Students
Chun Li; Mehdi Solhi; Yongxiang Wang – European Journal of Education, 2025
The crucial role of teachers' interpersonal communication skills in diverse aspects of second language (L2) education has been endorsed by prior scholarship. Such significance multiplies in artificial intelligence (AI)-mediated education in which interaction fosters understanding and using content and feedback. Nevertheless, the literature has…
Descriptors: Foreign Countries, Language Teachers, English (Second Language), Teacher Student Relationship
Sarah Seeley; Michael Cournoyea – Teaching & Learning Inquiry, 2025
Qualitative studies that examine the impact of generative AI technologies on higher education remain scant. Whether it is the ethical dimensions of modeling human emotions within these technologies or the authentic emotional reactions to these technologies and their outputs--emotionality is at the centre of generative AI discourse. This paper…
Descriptors: Robotics, Artificial Intelligence, Technology Uses in Education, Psychological Patterns
Troussas, Christos; Giannakas, Filippos; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Interactive Learning Environments, 2023
Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…
Descriptors: Computer Assisted Instruction, Cognitive Style, Cooperative Learning, Models
Gonte, Madeleine R.; George, Joshua S.; Siegel, Dana R.; Gohlke, Alyxandra M.; Trepanier, Angela M.; Hicks, Melissa A.; Putra, Manesha – American Journal of Health Education, 2023
Background: Rapid advances in prenatal genetic testing highlight the need for technology-based tools to assist in informed decision-making. Purpose: This study evaluates the feasibility, acceptability, and efficacy of a Computer-Aided Genetics Education Module (CAGEM) as an e-counseling tool and decision aid in a busy obstetric clinic among a…
Descriptors: Feasibility Studies, Computer Assisted Instruction, Genetics, Obstetrics
Tan, Jesmine S. H.; Chen, Wenli; Su, Junzhu; Su, Guo – International Journal of Computer-Supported Collaborative Learning, 2023
Peer feedback is known to have positive effects on knowledge improvement in a collaborative learning environment. Attributed to technology affordances, class-wide peer feedback could be garnered at a wider range in the networked learning environment. However, more empirical studies are needed to explore further the effects of type and depth of…
Descriptors: Peer Evaluation, Feedback (Response), Cooperative Learning, Computer Assisted Instruction
Ji, Hyangeun; Han, Insook; Ko, Yujung – Journal of Research on Technology in Education, 2023
Despite the increasing use of conversational artificial intelligence (AI) in language learning, few studies explored how to develop collaborative partnership between AIs and humans. This systematic review examines empirical evidence of human-computer collaboration from 24 studies conducted in an AI-integrated language learning environment and…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Man Machine Systems, Computer Assisted Instruction

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