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Xiaoqing Xu; Lifang Qiao; Nuo Cheng; Hongxia Liu; Wei Zhao – British Journal of Educational Technology, 2025
The rapid development of generative artificial intelligence (GenAI) has brought opportunities and new challenges to higher education. Students need a high level of self-regulated learning to adapt to this change. However, it is difficult for students to persist in self-regulation without guidance. Metacognitive support has a significant advantage…
Descriptors: Independent Study, Learning Experience, Artificial Intelligence, Technology Uses in Education
Mirjana Maricic; Branko Andic; Soeharto Soeharto; Filiz Mumcu; Stanko Cvjeticanin; Zsolt Lavicza – Education and Information Technologies, 2025
According to the theoretical frameworks and teaching practice, the constructs of the Technology acceptance model - TAM and the Cognitive load theory - CLT are in a close cause-and-effect relationship, and gaining insights into this issue is essential for educators. Our study aimed to examine continuous teaching intention (CTI) with emerging…
Descriptors: Teacher Attitudes, Intention, Technology Uses in Education, Elementary School Teachers
Kai-Hsin Tai; Jon-Chao Hong – Education and Information Technologies, 2025
Stellar observation, encompassing the study of star formation, stellar properties, and the governing physical laws, presents a readily accessible topic for many learners; however, many stargazing beginners may find it challenging. By applying the supplemental Gollin effect within animated display and the haptic effect of game-like play with a…
Descriptors: Computer Simulation, Astronomy, Self Efficacy, Interests
Ling Wu; Shuxin Wang – Education and Information Technologies, 2025
Contemporary technological advancements offer new possibilities for enhancing user creativity. We aimed to explore how technology can boost student creativity to meet the twenty-first century's demand for innovative talent. Based on the 4P model of creativity (person, process, product, and press) and constructivist theory, a virtual reality (VR)…
Descriptors: Computer Simulation, Brain, Biofeedback, Creativity
Idit Adler; Liat Liberman; Ilana Dubovi – Journal of Computer Assisted Learning, 2025
Background: This study investigates the effect of immersion levels in virtual reality (VR) learning environments on the acquisition of declarative and procedural knowledge. Prior research indicates that immersion affects cognitive load, but its impact on declarative and procedural knowledge outcomes remains unclear. This study utilises a…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Outcomes of Education
David Squires; Sameera Massey; Robin Pizzitola; Carmen Tejeda-Delgado; David D. Jimenez – Journal of Educational Technology, 2025
Massive open online courses (MOOCs) have grown in popularity since 2008 but suffer from low completion rates, as low as 2%. This study examines how designing MOOCs with consideration of cognitive load can improve retention and learning outcomes, particularly for adult learners such as educators. Employing a design-based research methodology, five…
Descriptors: MOOCs, Program Design, Difficulty Level, Cognitive Processes
Nese Dokumaci Sütçü; Tugba Örnek – Journal of Theoretical Educational Science, 2025
The aim of this study was to examine the potential effect of intelligence games on the problem-posing skills of mathematics teachers. The research, in which case study, one of the qualitative research methods, was preferred, was conducted with two mathematics teachers enrolled in the Mathematics Education Master's Program with Thesis at a state…
Descriptors: Game Based Learning, Problem Solving, Mathematics Teachers, Masters Programs
Julian Marvin Jörs; Ernesto William De Luca – Technology, Knowledge and Learning, 2025
The real-time availability of information and the intelligence of information systems have changed the way we deal with information. Current research is primarily concerned with the interplay between internal and external memory, i.e., how much and which forms of cognitively demanding processes we handle internally and when we use external storage…
Descriptors: Ethics, Learning Processes, Technology Uses in Education, Influence of Technology
Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
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
Chih-Hung Wu; Vu Tran Ho – Education and Information Technologies, 2025
The present study investigated the potential of ChatGPT in enhancing the learning outcomes and engagement. Data were gathered from a survey of 687 university personnel and higher education students who utilized ChatGPT for educational purposes. The conceptual framework of the study was validated and analyzed using partial least squares structural…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits, Learner Engagement
Leisi Pei; Morris Siu-Yung Jong; Junjie Shang; Guang Ouyang – British Journal of Educational Technology, 2025
Cognitive load is a critical internal state associated with learners' learning process and significantly influences learning outcomes. With the worldwide popularity of video-based learning (VBL), tracking real-time cognitive load variations becomes more and more important for the timely provision of adaptive learning support during the learning…
Descriptors: Diagnostic Tests, Brain, Cognitive Processes, Difficulty Level
Linling Shen; Jessica Kane-Cabello; Patricia Y. Candelaria; Dianne Stratford; Nathan H. Clemens – Learning Disabilities Research & Practice, 2025
Reading practice is crucial for students with reading difficulties, but locating texts for reading practice can be time-consuming for teachers. Artificial intelligence (AI) tools (e.g., ChatGPT) can rapidly create text according to specified parameters, but the application of creating content for reading intervention has not been examined. We used…
Descriptors: Artificial Intelligence, Technology Uses in Education, Reading Materials, Readability
Hamza Rababa; Ali Al-Omari – Educational Process: International Journal, 2025
Background/purpose: This study aimed to measure the level of scientific concepts acquisition among basic-stage students in light of their teachers' use of artificial intelligence (AI) applications. Materials/methods: A scientific concepts acquisition test was developed to collect data. The study sample consisted of 396 tenth-grade students,…
Descriptors: Scientific Concepts, Concept Formation, Secondary School Students, Grade 10
Jeongwon Lee; Dongho Kim – British Journal of Educational Technology, 2025
Despite the rapid growth of video-based learning in higher education, students face challenges in sustaining their full attention on video lectures. While gamification has been used to engage students, there have been few attempts to gamify in-video learning. The study aimed to create a gamified instructional video and examine the effects on…
Descriptors: Higher Education, Gamification, Video Technology, Technology Uses in Education

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