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Yimiao Yan; Yibin Zheng; Xindong Ye – Education and Information Technologies, 2025
As an effective teaching method, digital storytelling has gained significant prominence in the field of education in recent years. In contemporary digital storytelling instruction, stories are often presented through interactive whiteboards, computers, smartphones, or tablets. The introduction of immersive virtual reality (IVR) technology makes…
Descriptors: Teaching Methods, Story Telling, Electronic Learning, Self Control
Peng Zhang; Jiangxu Li; Su Cai – British Journal of Educational Technology, 2025
Augmented reality (AR) games offer significant potential to enhance learning experiences, yet the impact of when these games are introduced during the educational process remains underexplored. This study explored how the timing of providing the AR game influenced learners' achievement, satisfaction and acceptance. Using a quasi-experimental…
Descriptors: Simulated Environment, Computer Simulation, Educational Technology, Educational Games
Marcus Pietsch; Dana-Kristin Mah – Educational Technology Research and Development, 2025
Rapid developments in artificial intelligence (AI) require dynamic adaptation in education to integrate new technologies timely and sustainably. In particular, the rise of generative AI requires leadership to implement it in a meaningful way for teaching and learning. School leaders have a special role to play in driving digital transformation.…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Paul Rowlandson; Adrian Simpson – Journal for Research in Mathematics Education, 2025
On the basis of a substantial, robust, and well-replicated cognitive science research literature, interleaving has been recommended across a range of professional pedagogical works as an evidence-based strategy for mathematics teachers. This report first notes the conflation of interleaving and spacing effects underpinning those recommendations…
Descriptors: Mathematics Instruction, Learning Processes, Mathematical Concepts, Teaching Methods
Juha Himanka – European Journal of Higher Education, 2025
This study presents the Terele-model (TEaching, REsearch, LEarning) -- an easy-to-use model that distinguishes different levels of connection between teaching, research and learning. To do this the study uses Johari windows to show clearly and intuitively the five different levels of action and interaction between the teacher and the student. At…
Descriptors: Models, Teaching Methods, Learning Processes, Theory Practice Relationship
Hardi Sigus; Kaja Mädamürk – Discover Education, 2025
Word problems are frequently taught in shallow contexts, where students primarily use procedural knowledge to solve problems and struggle to transfer their learning to real-life situations. This study examines how extra-mathematical knowledge and motivation may enhance the learning process. The study involved 345 fifth-grade students (51.2% male)…
Descriptors: Student Motivation, Numeracy, Knowledge Level, Mathematics Education
Yuan, Shuaihang – ProQuest LLC, 2023
Recently, with the advancement in 2D imaging techniques and 3D visual sensors such as LiDAR, RGB-D cameras, etc. The use of 2D and 3D data is ubiquitous in various fields like autonomous driving, AR, and VR. Therefore, we are faced with an ever-increasing demand for approaches toward the automatic processing and analysis of data from multiple…
Descriptors: Computer Simulation, Geometry, Artificial Intelligence, Data Analysis
Baltzersen, Rolf K. – Routledge, Taylor & Francis Group, 2023
"Effective Use of Collective Peer Teaching in Teacher Education" investigates the learning benefits of letting students assume leadership roles in the classroom, emphasizing both theoretical analysis and firsthand empirical research conducted with pre-service teachers. Building on Vygotsky's (1987) sociocultural theory of human learning…
Descriptors: Peer Teaching, Teaching Methods, Teacher Education Programs, Learning Processes
Rohani, Narjes; Gal, Kobi; Gallagher, Michael; Manataki, Areti – International Educational Data Mining Society, 2023
Massive Open Online Courses (MOOCs) make high-quality learning accessible to students from all over the world. On the other hand, they are known to exhibit low student performance and high dropout rates. Early prediction of student performance in MOOCs can help teachers intervene in time in order to improve learners' future performance. This is…
Descriptors: Prediction, Academic Achievement, Health Education, Data Science
Lin, Chieh-Peng; Chiang, Pin-Hsuan – Vocations and Learning, 2023
Drawing upon the social network theory and social cognitive theory, this research proposes a model that assesses team performance from the mediating aspect of knowledge application, which represents a team's learning process whereby an effective retrieval mechanism enables the team to access knowledge. In the model, team performance relates to…
Descriptors: Social Networks, Social Cognition, Models, Learning Processes
Djelil, Fahima; Sanchez, Eric – Education and Information Technologies, 2023
Game based-learning have been widely promoted to overcome the difficulties encountered by beginners to learn programming. However, there are many issues to address for the implementation of game-based learning. Indeed, game-based learning is not limited to adding game elements such as rewards to a learning situation, but it rather consists of…
Descriptors: Game Based Learning, Educational Games, Design, Programming
Stanja, Judith; Gritz, Wolfgang; Krugel, Johannes; Hoppe, Anett; Dannemann, Sarah – British Journal of Educational Technology, 2023
Formative assessment is considered to be helpful in students' learning support and teaching design. Following Aufschnaiter's and Alonzo's framework, formative assessment practices of teachers can be subdivided into three practices: eliciting evidence, interpreting evidence and responding. Since students' conceptions are judged to be important for…
Descriptors: Formative Evaluation, Student Attitudes, Learning Analytics, Student Evaluation
Schindler, Julia; Richter, Tobias – Educational Psychology Review, 2023
Learning can be made more efficient when learners generate the to-be-learned text contents instead of passively receiving them. A multi-level meta-analysis was conducted to provide an overall estimate of the text generation effect's magnitude and to identify theoretically and practically relevant moderators. Overall, generation interventions…
Descriptors: Learning Processes, Reader Text Relationship, Reading Processes, Text Structure
Schubert, Sandra; Pekrun, Reinhard; Ufer, Stefan – ZDM: Mathematics Education, 2023
Proofs as epistemic tools are central to mathematical practice, as they establish and provide explanations for the validity of mathematical statements. Considering the challenge that proof construction poses to learners of all ages, prior research has investigated its cognitive determinants, but the impact of affective-motivational experiences on…
Descriptors: Undergraduate Students, Epistemology, Psychological Patterns, Mathematical Logic
Li, Yixun; Wang, Min – Educational Psychologist, 2023
Orthographic learning is the process that supports children in becoming skilled word readers. How orthographic learning occurs has been one of the central questions in the scientific studies of reading. The present systematic review focuses on experimental studies of orthographic learning via self-teaching. It explains and discusses the…
Descriptors: Orthographic Symbols, Learning Processes, Independent Study, Written Language