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Siu Shing Man; Yizhen Fang; Alan Hoi Shou Chan; Jiayan Han – Education and Information Technologies, 2025
With the continuous evolution of information technology shaping advancements in education, virtual reality (VR) technology has been increasingly applied to enhance English learning amongst students, aiming to boost learning efficiency and performance. This study introduced a VR technology acceptance model (TAM) to fulfil these requirements. The…
Descriptors: Computer Simulation, Technology Uses in Education, Educational Environment, Anxiety
Min Lee; Tan Roy Jun Yi; Chen Der-Thanq; Huang Jun Song; Hung Wei Loong David – Education and Information Technologies, 2025
A noticeable surge in students' widespread adoption of ChatGPT in the past year brought attention to the need for a deeper understanding of their interactions with this new technology. While attempts at theorising learner-ChatGPT interactions have been made, few studies offer empirical accounts of the interactions between learners and ChatGPT.…
Descriptors: Interaction, Man Machine Systems, Artificial Intelligence, Technology Uses in Education
Guido Makransky; Ban M. Shiwalia; Tue Herlau; Steven Blurton – Educational Psychology Review, 2025
Generative artificial intelligence (GenAI) has emerged as a transformative tool in education, offering scalable individualized learning. However, there is a lack of theoretically informed and methodologically rigorous research on how GenAI can effectively augment learning. This manuscript addresses this gap by investigating the potential of a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learning Processes, College Students
Rolf, Elisabeth; Knutsson, Ola; Ramberg, Robert – Technology, Pedagogy and Education, 2022
Pedagogical patterns aim at assisting teachers with limited teaching experience with technology-supported solutions to educational problems. In a workshop series, 13 pedagogical patterns were created by upper secondary teachers recognised for their use of technology in teaching. These patterns constitute data for a deductive thematic analysis to…
Descriptors: Secondary School Teachers, Teaching Methods, Design, Technology Uses in Education
Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
Mukasheva, Manargul; Kornilov, Iurii; Beisembayev, Gani; Soroko, Nataliia; Sarsimbayeva, Saule; Omirzakova, Aisara – Cogent Education, 2023
This study aims to offer a contextual framework for a virtual reality learning environment (VRLE) that would assist in interpreting students' and teachers' expectations on how to use VR in the learning process. Due to the current lack of unified recommendations and principles, as well as framework methods, the structure of VRLE, consisting of 4,…
Descriptors: Computer Simulation, Educational Environment, Technology Uses in Education, Expectation
Cecilie Carlsen Bach; Uffe Thomas Jankvist – International Journal for Technology in Mathematics Education, 2024
When implementing digital technologies into mathematics teaching and learning situations, new representational and communication infrastructures arise that allow for new speech acts and actions. These new speech acts and actions are also referred to as 'representational expressivity'. Such expressivity arises in the intersection of…
Descriptors: Middle School Students, Grade 8, Middle School Mathematics, Mathematics Education
Pei-Yu Chen; Yuan-Chen Liu – Journal of Baltic Science Education, 2024
This study explored the integration of neural networks and artificial intelligence in image recognition for object identification. The aim was to enhance students' learning experiences through a "Learning by Teaching" approach, in which students act as instructors to train AI robots in recognizing objects. This research specifically…
Descriptors: Artificial Intelligence, Robotics, Educational Technology, Technology Uses in Education
Taha Ertugrul Kuzu; Christian Ratzke – Journal of Pedagogical Research, 2024
The article focuses the use and reflection of explanatory videos in pedagogical contexts from an interdisciplinary perspective and with regard to teacher reflection and production processes in a joint primary school pedagogical study (with a focus on mathematical learning processes) and Catholic religion education study (with a focus on secondary…
Descriptors: Video Technology, Learning Processes, Interdisciplinary Approach, Reflection
Verónica Marín; Begoña E. Sampedro; Marina Morales-Diaz – Journal of New Approaches in Educational Research, 2025
When talking about digital resources in secondary education classrooms in the 21st Century, we must mention tools such as Mixed Reality (MR). However, we must not only have in mind the perspective and training of teachers on their use, but we must consider that the ecologies of the classroom are becoming increasingly diverse, thus demanding an…
Descriptors: Secondary School Teachers, Teacher Attitudes, Foreign Countries, Faculty Development
Hefter, Markus H.; Berthold, Kirsten – Learning Environments Research, 2022
In two experiments with German secondary school students (N[subscript 1] = 43; N[subscript 2] = 41), we aimed to analyze and optimize an effective learning environment. We sought further active ingredients and crucial factors for deep processing during an example-based training intervention, which consisted mainly of video examples and…
Descriptors: Foreign Countries, Secondary School Students, Educational Environment, Student Educational Objectives
Lee, Hsin-Yu; Cheng, Yu-Ping; Wang, Wei-Sheng; Lin, Chia-Ju; Huang, Yueh-Min – Journal of Educational Computing Research, 2023
Given the inadequacy of assessed outcomes (e.g., final exam) and the importance of evaluating the learning process in STEM education, we use deep learning to develop the STEM learning behavior analysis system (SLBAS) to assess the behavior of learners in STEM education. We map learner behavior to the ICAP (interactive, constructive, active,…
Descriptors: Learning Processes, Instructional Effectiveness, STEM Education, Student Behavior
Danijela Stojanovic; Zorica Bogdanovic; Luka Petrovic; Svetlana Mitrovic; Aleksandra Labus – Interactive Learning Environments, 2023
In this paper we present an approach to employing pervasive technologies, such as IoT and mobile technologies, in secondary education. The goal is to develop a comprehensive methodology, IoT infrastructure and a mobile application that would enable secondary students to test their knowledge in interaction with a smart environment. We have…
Descriptors: Learning Processes, Secondary School Students, Technology Uses in Education, Handheld Devices
Giulia Cosentino; Jacqueline Anton; Kshitij Sharma; Mirko Gelsomini; Michail Giannakos; Dor Abrahamson – British Journal of Educational Technology, 2025
As AI increasingly enters classrooms, educational designers have begun investigating students' learning processes vis-à-vis simultaneous feedback from active sources--AI and the teacher. Nevertheless, there is a need to delve into a more comprehensive understanding of the orchestration of interactions between teachers and AI systems in educational…
Descriptors: Artificial Intelligence, Learning Processes, Instructional Design, Design
Hsu, Ting-Chia; Huang, Hsiu-Ling; Hwang, Gwo-Jen; Chen, Mu-Sheng – Educational Technology & Society, 2023
In traditional instruction, teachers generally deliver the content of textbooks to students via lectures, making teaching activities lack vibrancy. Moreover, in such a one-to-many teaching mode, the teacher is usually unable to check on individual students' learning status or to provide immediate feedback to resolve their learning problems.…
Descriptors: High School Students, Expertise, Decision Making, Artificial Intelligence