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Schindler, Maike; Lilienthal, Achim J. – ZDM: Mathematics Education, 2022
In the age of artificial intelligence where standard problems are increasingly processed by computers, creative problem solving, the ability to think outside the box is in high demand. Collaboration is also increasingly significant, which makes creative collaboration an important twenty-first-century skill. In the research described in this paper,…
Descriptors: Cooperative Learning, Creativity, Eye Movements, Mathematics Education
Robert, Jenay; Pelletier, Kathe – EDUCAUSE, 2022
The adoption of remote and hybrid models for every aspect of life is accelerating rapidly. From catching up with family and friends to clocking in for work, videoconferencing and other remote tools are quickly becoming a regular part of our daily routines. This increased demand for hybrid life and work has even been proposed as one driver of…
Descriptors: Blended Learning, Futures (of Society), Models, Educational Change
Hii, Puong Koh; Goh, Chin Fei; Rasli, Amran; Tan, Owee Kowang – Knowledge Management & E-Learning, 2022
Multicriteria decision-making (MCDM) techniques have been widely adopted to evaluate the effectiveness of e-learning. However, the literature review has not kept pace with the rapid accumulation of knowledge in this field. This study systematically reviews the MCDM techniques applied in e-learning issues. In total, we reviewed 77 published studies…
Descriptors: Electronic Learning, Instructional Effectiveness, Decision Making, Evaluation
Howell, Emily – On the Horizon, 2022
Purpose: The purpose of this paper aims to answer the research question: How is the HyFlex model being implemented in higher education, and is it leading to greater access and equity?Design/methodology/approach: This comprehensive literature review covers 19 sources, 11 studies and 8 practitioner or literature reflections, studying HyFlex.…
Descriptors: Higher Education, Models, Access to Education, Equal Education
Lu, Yu; Chen, Penghe; Pian, Yang; Zheng, Vincent W. – IEEE Transactions on Learning Technologies, 2022
In this article, we advocate for and propose a novel concept map driven knowledge tracing (CMKT) model, which utilizes educational concept map for learner modeling. This article particularly addresses the issue of learner data sparseness caused by the unwillingness to practice and irregular learning behaviors on the learner side. CMKT considers…
Descriptors: Concept Mapping, Learning Processes, Prediction, Models
Giannakas, Filippos; Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Education and Information Technologies, 2022
Working in groups is an important collaboration activity in the educational context, where a variety of factors can influence the prediction of the teams' performance. In the pertinent bibliography, several machine learning models are available for delivering predictions. In this sense, the main goal of the current research is to assess 28…
Descriptors: Comparative Analysis, Artificial Intelligence, Prediction, Cooperative Learning
Erik Voss; Hansun Zhang Waring – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Significant advancements in voice chatbots have spurred interest into their role in second language learning (Conium, 2008), particularly their ability to assist in the development of learners' conversation skills in a target language. Many efforts have been made to explore AI's potential to act as conversation partners for language learners. Of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Man Machine Systems
Weikang Lu; Chenghua Lin – Asia-Pacific Education Researcher, 2025
Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…
Descriptors: Meta Analysis, Technology Integration, Computer Software, Artificial Intelligence
Kwaku Adu-Gyamfi; Kayla Chandler; Anthony Thompson – School Science and Mathematics, 2025
The challenge posed by algebra story problems creates a significant hurdle for many students, transcending both the mathematical content of the problem and the specific instructional background received. This study offers a distinctive contribution to the existing literature by focusing on the cognitive conditions essential for comprehension in…
Descriptors: Algebra, Mathematics Instruction, Barriers, Cognitive Processes
Sedef Süner-Pla-Cerdà; Elif Öztürk; Canan Emine Ünlü – Education and Information Technologies, 2025
Design education embodies distinctive pedagogical practices rooted in experiential learning, frequent interactions between students and instructors, reflective dialogues through project deliverables, and enculturation through activities and encounters facilitated by a physical studio setting. Contrasting the traditional lecture-based format, the…
Descriptors: Studio Art, Design, Architecture, Building Design
Douglas W. Weber; Katherine N. Vela; Kathy Cabe Trundle; Rita Hagevik – Mathematics Teacher: Learning and Teaching PK-12, 2025
The National Council of Teachers of Mathematics (NCTM), along with several other national organizations, released a joint statement indicating how crucial incorporating data analysis into lessons is (NCTM et al., 2024). Mathematics and gardening may seem like incongruent ideas, but mathematics, specifically data analysis, infiltrates activities…
Descriptors: Mathematics Instruction, Gardening, Art Education, STEM Education
Andy A. Accettola; Leanne M. Kallemeyn – Research in the Schools, 2025
Effective feedback improves grades, quality of work, and student perceptions regarding the quality of the feedback they receive. Recent feedback scholarship indicates that despite students' appreciation of quality feedback, they seldom use it. A shift in focus toward feedback engagement has resulted in several narrative reviews on the topic, each…
Descriptors: Models, Feedback (Response), Mathematics Teachers, Mathematics Instruction
Jun Fu; Bryant Hutson; Kari Thierer; Xue Zhang; Jessica Taylor – Intersection: A Journal at the Intersection of Assessment and Learning, 2025
Experiential learning, which emphasizes gaining new skills, knowledge, and perspectives through experiences, has become one of the most influential models for transforming students' learning and development in a variety of contexts from academic settings to workplace training programs. The current body of research on the assessment of experiential…
Descriptors: Experiential Learning, Outcomes of Education, Educational Theories, Models
Tao Xie; Hanyu Zhang; Yunong Yang – Education and Information Technologies, 2025
A significant body of research has focused on the impact of immersive virtual reality (IVR) on vocabulary retention, but little is known about how to integrate language learning theories in IVR-mediated vocabulary learning. This study aims to examine the effect of IVR that integrate input processing model on vocabulary retention for elementary…
Descriptors: Computer Simulation, Linguistic Input, Models, Second Language Learning
Sukan Saeliang; Pinanta Chatwattana – International Education Studies, 2025
The project-based learning model via generative artificial intelligence, or PjBL model via Gen-AI, is a research tool that was initiated based on the concept of project-based learning management focusing mainly on self-directed learning, in which learners are able to learn and practice through the projects they are interested in as to their…
Descriptors: Active Learning, Student Projects, Artificial Intelligence, Man Machine Systems

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