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Yu-Ju Lan; Kai-Yu Tang – Educational Technology & Society, 2025
Research into the use of virtual reality (VR) for educational purposes is increasing, but most of the existing literature focuses on the positive effects of VR on users, with its possible negative effects remaining underexplored. An inadequate understanding of the negative effects can put users at risk. To address this research gap, the main…
Descriptors: Computer Simulation, Computer Uses in Education, Risk, Outcomes of Education
Xin Cui; Zhi-Qiang Ma; Xin-Ya You; Yuchen Chen; Jia-Jia Yao; Yun-Fang Tu – Educational Technology & Society, 2025
Collaborative argumentation allows groups to express, criticize, and integrate arguments to achieve the co-construction of collective knowledge. However, students often face challenges when proposing diversified arguments, gathering evidence, and rebutting others reasonably. Incorporating generative conversational agents (GCAs) into collaborative…
Descriptors: Persuasive Discourse, Rhetoric, Artificial Intelligence, Computer Uses in Education
Rui Zhu – Educational Technology & Society, 2024
With an increase in interactions with non-human agents, understanding and forecasting the consequences of human interactions with them have become increasingly crucial. The present study focused on a subset of non-human agents known as virtual characters. To investigate whether people respond in the same way to a virtual character as they do to a…
Descriptors: Foreign Countries, College Students, Computer Simulation, Interpersonal Relationship
Kang, Jina; Diederich, Morgan; Lindgren, Robb; Junokas, Michael – Educational Technology & Society, 2021
Recent research has emphasized the importance of leveraging embodied interactions for learning critical STEM concepts. ELASTIC3S--an embodied environment for learning about cross-cutting concepts (i.e., non-linear growth)--allows learners to interact with different science simulations through whole-body gestures. Technological advances in gesture…
Descriptors: Nonverbal Communication, Computer Simulation, Pattern Recognition, Computer Uses in Education
Wang, Youmei; Liu, Chenchen; Tu, Yun-Fang – Educational Technology & Society, 2021
Owing to the rapid advancements in artificial intelligence (AI) technologies, there has been increasing concern about how to promote the use of AI technologies in school settings to enhance students' learning performance. Teachers' intention to adopt AI tools in their classes plays a crucial role in this regard. Therefore, it is important to…
Descriptors: Artificial Intelligence, Computer Uses in Education, Adoption (Ideas), Teacher Attitudes
Chaker, Rawad; Gallot, Mélanie; Binay, Marion; Hoyek, Nady – Educational Technology & Society, 2021
Embodiment is particularly relevant for learning anatomy as the knowledge to be acquired is related to the body itself. Several tools using three-dimensional (3D) anatomical structures and avatars (e.g. augmented reality; virtual reality; immersive anatomy; 3D animations) were developed to enrich students' experience by including gestures and body…
Descriptors: Visual Aids, Anatomy, Educational Technology, Foreign Countries
Yang, Christopher C. Y.; Chen, Irene Y. L.; Akçapinar, Gökhan; Flanagan, Brendan; Ogata, Hiroaki – Educational Technology & Society, 2021
Research has revealed the positive effects of flipped classroom approaches on students' learning engagement and performance compared with conventional lecture-based classrooms. However, because of a lack of out-of-class learning support, many students fail to comprehensively prepare the provided lecture materials before class. One promising…
Descriptors: Instructional Materials, Flipped Classroom, Learner Engagement, Academic Achievement
Chen, Xieling; Zou, Di; Xie, Haoran; Cheng, Gary; Liu, Caixia – Educational Technology & Society, 2022
With the increasing use of Artificial Intelligence (AI) technologies in education, the number of published studies in the field has increased. However, no large-scale reviews have been conducted to comprehensively investigate the various aspects of this field. Based on 4,519 publications from 2000 to 2019, we attempt to fill this gap and identify…
Descriptors: Artificial Intelligence, Educational Trends, Educational Technology, Bibliometrics
Lu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation