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Download full textAli Geris; Taibe Kulaksiz – Research in Learning Technology, 2025
This study aims to investigate the factors influencing teachers' intentions to integrate Virtual Reality (VR) technology into their educational practices, utilising the Unified Theory of Acceptance and Use of Technology (UTAUT-2) framework. The research involved adapting and validating the 'Acceptance of Mobile Immersive Virtual Reality in…
Descriptors: Technology Integration, Computer Simulation, Teacher Attitudes, Intention
Laila Ayaichi; Aziz Amaaz; Abderrahman Mouradi – Journal of Baltic Science Education, 2025
Augmented Reality (AR) is an emerging technology with strong potential to enhance the educational value of physics lab work. However, its integration in higher education remains inconsistent, often hindered by students' limited prior experience and varying levels of acceptance. This study investigates the factors influencing students' intention to…
Descriptors: Computer Simulation, Telecommunications, Handheld Devices, Physics
Potsirin Limpinan; Thada Jantakoon; Somsuk Trisupakitti – Higher Education Studies, 2025
This study examines learners' acceptance of an immersive STEAM-based microlearning environment from the perspective of the Technology Acceptance Model (TAM), utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) as the primary analytical approach. While immersive technologies such as virtual reality (VR) and augmented reality (AR)…
Descriptors: Art Education, STEM Education, Foreign Countries, Undergraduate Students
Direct linkMichaela Arztmann; Jessica Lizeth Domínguez Alfaro; Lisette Hornstra; Jacqueline Wong; Johan Jeuring; Liesbeth Kester – British Journal of Educational Technology, 2025
A distinct feature of educational games using augmented reality (AR) is that the game is played through physically interacting with the environment, whereas physical interaction is typically rather limited in other digital games. Understanding and performing the interactive game mechanics can be cognitively demanding. Adding pre-training could…
Descriptors: Computer Simulation, Artificial Intelligence, Training, Cognitive Processes
Minkai Wang; Jingdong Zhu; Gwo-Jen Hwang; Shao-Chen Chang; Qi-Fan Yang; Di Zhang – Journal of Computer Assisted Learning, 2025
Background: STEM education aims to develop innovation and problem-solving skills through interdisciplinary learning, yet struggles to foster student engagement and interdisciplinary thinking. Whilst alternate reality games (ARGs) can boost motivation via game-based problem-solving, integrating large language models (LLMs) remains underexplored.…
Descriptors: Learner Engagement, STEM Education, Natural Language Processing, Artificial Intelligence
