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Hsin-Yi Liang; Gwo-Jen Hwang; Tien-Yu Hsu; Jen-Yuan Yeh – British Journal of Educational Technology, 2024
Recently, alternate reality games (ARGs) have been applied in museum learning to encourage learners' active engagement through playful problem-solving activities. However, most learners have insufficient prior knowledge and metacognitive skills to complete the learning tasks in such games. To support learning with ARGs, there is a need to provide…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Simulation, Game Based Learning
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Shahper Richter; Shohil Kishore; Inna Piven; Patrick Dodd; Guy Bate – British Journal of Educational Technology, 2025
This study investigates how anthropomorphic AI chatbot avatars, designed in line with the Stereotype Content Model (SCM) dimensions of warmth and competence, influence university students' perceptions of support for self-directed learning (SDL) activities. We examined student responses to two distinct avatars--one projecting warmth and the other…
Descriptors: Artificial Intelligence, Technology Uses in Education, Postsecondary Education, Computer Simulation
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Longwei Zheng; Anna He; Changyong Qi; Haomin Zhang; Xiaoqing Gu – British Journal of Educational Technology, 2025
In the field of education, the think-aloud protocol is commonly used to encourage learners to articulate their thoughts during the learning process, providing observers with valuable insights into learners' cognitive processes beyond the final learning outcomes. However, the implementation of think-aloud protocols faces challenges such as task…
Descriptors: Protocol Analysis, Learning Experience, Computational Linguistics, Computer Software
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Belle Dang; Luna Huynh; Faaiz Gul; Carolyn Rosé; Sanna Järvelä; Andy Nguyen – British Journal of Educational Technology, 2025
The rise of generative artificial intelligence (GAI), especially with multimodal large language models like GPT-4o, sparked transformative potential and challenges for learning and teaching. With potential as a cognitive offloading tool, GAI can enable learners to focus on higher-order thinking and creativity. Yet, this also raises questions about…
Descriptors: Man Machine Systems, Artificial Intelligence, Technology Uses in Education, Cooperative Learning
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Michaela 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
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Caglar-Ozhan, Seyma; Altun, Arif; Ekmekcioglu, Erhan – British Journal of Educational Technology, 2022
The purpose of this study is to explore the effects of an affective recommendation system on the developmental trajectories of prospective teachers' emotional patterns, integrated with a Simulated Virtual Classroom (SVC) platform called SimInClass. SVC exposes teachers to a range of student discourses in the form of unexpected stimuli. Fifteen…
Descriptors: Preservice Teachers, Psychological Patterns, Artificial Intelligence, Computer Simulation
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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
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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
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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
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Guo, 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