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Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
Sinem Aslan; Lenitra M. Durham; Nese Alyuz; Rebecca Chierichetti; Pete A. Denman; Eda Okur; David I. Gonzalez Aguirre; Julio C. Zamora Esquivel; Hector A. Cordourier Maruri; Sangita Sharma; Giuseppe Raffa; Richard E. Mayer; Lama Nachman – British Journal of Educational Technology, 2024
Previous research showed that the parents acknowledged the technology's benefits for their young children's learning, however, they are still worried about the extended screen time, lack of physical activity and lack of social interactions. To address these concerns, we developed Kid Space to enable pedagogically appropriate technology use for…
Descriptors: Parents, Young Children, Artificial Intelligence, Interpersonal Communication
Artur Strzelecki; Sara ElArabawy – British Journal of Educational Technology, 2024
This study delves into the implications of incorporating AI tools, specifically ChatGPT, in higher education contexts. With a primary focus on understanding the acceptance and utilization of ChatGPT among university students, the research utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) as the guiding framework. The…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Student Behavior
Nuodi Zhang; Fengfeng Ke; Chih-Pu Dai; Sherry A. Southerland; Xin Yuan – British Journal of Educational Technology, 2025
Preparing preservice teachers (PSTs) to be able to notice, interpret, respond to and orchestrate student ideas--the core practices of responsive teaching--is a key goal for contemporary science and mathematics teacher education. This mixed-methods study, employing a virtual reality (VR)-supported simulation integrated with artificial intelligence…
Descriptors: Preservice Teachers, Preservice Teacher Education, Artificial Intelligence, Computer Simulation
Camstra, Bert – British Journal of Educational Technology, 2008
In this paper, intelligent approaches to CBT are put into several perspectives in an attempt to elucidate the concepts and give them a more realistic (and not only glamorous) footing. The role of expert systems in training is explored and possible routes towards intelligent CBT are outlined. [This paper was first published in "Interactive Learning…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Training
Bowman, Catherine D. D. – British Journal of Educational Technology, 2012
Animated pedagogical agents (APAs) have the potential to provide one-on-one, just-in-time instruction, guidance or mentoring in classrooms where such individualized human interactions may be infeasible. Much current APA research focuses on a wide range of design variables tested with small samples or in laboratory settings, while overlooking…
Descriptors: Control Groups, Experimental Groups, Science Curriculum, Middle School Students
Shaw, Keith – British Journal of Educational Technology, 2008
This paper compares and contrasts the use of AI principles in industrial training with more normal computer-based training (CBT) approaches. A number of applications of CBT are illustrated (for example simulations, tutorial presentations, fault diagnosis, management games, industrial relations exercises) and compared with an alternative approach…
Descriptors: Industrial Training, Artificial Intelligence, Computer Assisted Instruction, Computer Simulation
Powell, James; Wright, Theo; Newland, Paul; Creed, Chris; Logan, Brian – British Journal of Educational Technology, 2008
Is it possible to educate a fire officer to deal intelligently with the command and control of a major fire event he will never have experienced? The authors of this paper believe there is, and present here just one solution to this training challenge. It involves the development of an intelligent simulation based upon computer managed interactive…
Descriptors: Fire Protection, Fire Science Education, Artificial Intelligence, Case Studies
Peer reviewedGuo, Shesen – British Journal of Educational Technology, 2003
A computer-assisted learning/teaching model is conceived with implications of constructivist theory and an analogy between the traditional art form Shuanghuang and the teaching/learning environment. The virtual character of the model interacts with the learner, in the form of human behavior and speech supported by recognition biometrics,…
Descriptors: Art, Artificial Intelligence, Computer Assisted Instruction, Computer Oriented Programs

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