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Regina Sutarmina; Jamie Costley; Anna Gorbunova; Christopher Lange – Education and Information Technologies, 2025
This study examines relationships among several variables within the context of online learning in higher education including self-regulated effort, maintained situational interest, gender differences, and age-related factors. Analyzing data from a diverse Open Cyber University of Korea student sample, the research highlights a positive…
Descriptors: Online Courses, Learning Motivation, Metacognition, Age Differences
Anna Hawrot; Lena Nusser – Scandinavian Journal of Educational Research, 2025
This study investigated whether various aspects of the home learning environment -- that is, learning-related processes, parental perceptions of their child, and structural characteristics -- predicted private tutoring attendance in Grade 8. We used the data of 7393 students from the German National Educational Panel Study. Seventeen percent of…
Descriptors: Family Environment, Educational Environment, Tutoring, Private Education
Nazarana Mather; Liesl Scheepers – Turkish Online Journal of Distance Education, 2025
Feedback is one of the most powerful tools for teaching and learning. Providing meaningful feedback to students is of particular importance in an online context as it is a direct way for the facilitator to engage with their students and to provide them with individual, tailored support. This study sought to explore the perceptions of online…
Descriptors: Feedback (Response), Private Colleges, Facilitators (Individuals), Online Courses
Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Yuanyuan Liu; Chenxin Wang; Hui Jin – International Journal of Multilingualism, 2025
Previous studies of affordance have not explored in detail how a special type of affordance -- institutional affordance -- worked in multilingualism. By drawing empirical voices of students, this study investigates how institutional affordance supplied by a collegiate multilingual education policy was perceived and utilised by students. A thematic…
Descriptors: Multilingualism, Second Language Instruction, Second Language Learning, Ethnography
Yu Ji; Zehui Zhan; Tingting Li; Xuanxuan Zou; Siyuan Lyu – IEEE Transactions on Learning Technologies, 2025
The advent of generative artificial intelligence (GAI), exemplified by ChatGPT, has introduced both new opportunities and challenges in science, technology, engineering, and mathematics (STEM) and entrepreneurship education. This exploratory quasi-experimental study examined the effects of ChatGPT-assisted collaborative learning (CCL) on students'…
Descriptors: Man Machine Systems, Technology Uses in Education, Artificial Intelligence, Learning Processes
Ruth Irwin – Educational Philosophy and Theory, 2025
Education is concerned with the production of intelligence. Is AI intelligent? and what are the implications for educating humanity? Samuel Butler makes the case that machinery emerges in co-relation with the evolution of humanity. In other words, the evolution of machines relies on the human intervention for reproduction, and the evolution of…
Descriptors: Computer Software, Artificial Intelligence, Educational Philosophy, Humanism
Jaysveree Louw; Heidi Claassens – Journal of Education and Learning, 2025
This theoretical article examines the crucial role of play-based learning (PBL) in enhancing the mathematical skills of children in the Early Childhood Phase, referred to as Foundation Phase (Grade R-3) learners, within a South African context. The article argues that the traditional approach to teaching early childhood mathematics, where teachers…
Descriptors: Play, Mathematics Skills, Early Childhood Education, Teaching Methods
Joseph J. Slade; Stephanie M. Byers; Kathryn A. Becker-Blease; Regan A. R. Gurung – Teaching of Psychology, 2025
Introduction: The integration of artificial intelligence (AI) into higher education ushers in a new era of teaching and learning possibilities for both educators and students. Statement of the Problem: These technologies not only offer unparalleled opportunities for personalized learning and instructional support, but also introduce challenges…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Fang Xu; Kai Wenhui; Jiang Pei – Education and Information Technologies, 2025
Currently, countries all over the world are deeply promoting the digital transformation of education. There is a lack of empirical research on the relationship between education digitization and education effectiveness. This study aims to explore the contribution of education digitization to education effectiveness through empirical research. This…
Descriptors: Technology Uses in Education, Secondary School Students, Achievement Tests, International Assessment
Frank Wehrmann; Raphael Zender – Journal of Computer Assisted Learning, 2025
Background: The role of virtual reality (VR) in education is increasing, which raises questions about VR learning in multi-user settings. While collaborative VR learning, characterised by shared goals and low division of labour, is well-researched, cooperative VR learning, which emphasises role differentiation and task interdependence, remains…
Descriptors: Cooperative Learning, Computer Simulation, Learning Processes, Individualized Instruction
Isidor Kokalari; Kosta Lili – Science Education International, 2025
Physics, even though it is guided by simple principles, tends for many topics to be obscured in the mathematics redundancy. MATLAB®, as interactive software for computer algebra, has already had an important impact on the way physics is taught by educators. It has also had a substantial impact on the way research is performed by students to…
Descriptors: Computer Software, Physics, Science Instruction, Teaching Methods
Nicole R. Scalise; Isabella M. Santiago; Elizabeth A. Canning – Journal of Numerical Cognition, 2025
Early math experiences predict children's later math abilities and beliefs. However, less is known about longer-term associations between early childhood math experiences and adult math outcomes. The present study examined emerging adults' earliest memories of mathematics and reading experiences, asking whether characteristics of their early…
Descriptors: Mathematics Education, Learning Processes, Age Differences, Memory
Elina Hannula; Kati Sormunen; Kai Hakkarainen; Tiina Korhonen – Education and Information Technologies, 2025
Transdisciplinary invention projects based on traditional and digital fabrication technologies engage young people in designing and making complex artifacts and constitute a central aspect of future-oriented education. In Finland, comprehensive school students (aged 7-15) from all over the country can practice their inventive skills in the annual…
Descriptors: Student Experience, Student Projects, Intellectual Property, Programming
Anis Nazihah Mat Daud; Azrill Roy Abdul Gani; Sarwanto – Malaysian Online Journal of Educational Technology, 2025
In this study, we developed an online problem-based learning (PBL) module for the Impulsive Force subtopic of Physics Form Four and studied its perceived usability among Physics trainee teachers. The research design of this study is developmental research and a quantitative study using a survey approach. The module was developed according to five…
Descriptors: Online Courses, Physics, Science Instruction, Preservice Teachers

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