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Noah Glaser; Charles Thull; Matthew Schmidt; Alice Tennant; Jewoong Moon; Cannon Ousley – Journal of Autism and Developmental Disorders, 2024
This systematic literature review discusses the use of spherical video-based virtual reality (SVVR) as a training and therapy intervention for autistic individuals. The authors emphasize the need for an evidence-based framework with guidelines and design considerations to help developers and educators tailor SVVR to the diverse needs of autistic…
Descriptors: Autism Spectrum Disorders, Literature Reviews, Computer Simulation, Intervention
Gi Woong Choi; Soo Hyeon Kim; Daeyeoul Lee; Jewoong Moon – TechTrends: Linking Research and Practice to Improve Learning, 2024
Recently, generative AI has been at the center of disruptive innovation in various settings, including educational sectors. This article investigates ChatGPT, which is one of the most prominent generative AI in the market, to explore its usefulness and potential for instructional design. Four researchers used a set of prompts to generate a course…
Descriptors: Artificial Intelligence, Instructional Design, Information Technology, Course Content
Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Hyunwoong Lee; Seunmin Eun; Jewoong Moon; Cheolil Lim; Hyeoncheol Kim – Smart Learning Environments, 2024
This preliminary study explores how GPT-4 Vision (GPT-4V) technology can be integrated into teacher analytics through observational assessment, aiming to improve reflective teaching practice. Our study develops a Video-based Automatic Assessment System (VidAAS) powered by GPT-4V. This approach uses Generative Artificial Intelligence (GenAI) to…
Descriptors: Observation, Teaching Methods, Artificial Intelligence, Behavior
Chih-Pu Dai; Fengfeng Ke; Yanjun Pan; Jewoong Moon; Zhichun Liu – Educational Psychology Review, 2024
Computer-based simulations for learning offer affordances for advanced capabilities and expansive possibilities for knowledge construction and skills application. Virtual agents, when powered by artificial intelligence (AI), can be used to scaffold personalized and adaptive learning processes. However, a synthesis or a systematic evaluation of the…
Descriptors: Computer Simulation, Artificial Intelligence, Educational Technology, Program Effectiveness
Haesol Bae; Jaesung Hur; Jaesung Park; Gi Woong Choi; Jewoong Moon – Online Learning, 2024
This study examined pre-service teachers' perspectives on integrating generative AI (GenAI) tools into their own learning and teaching practices. Discussion posts from asynchronous online courses on ChatGPT were analyzed using the Diffusion of Innovations framework to explore awareness, willingness to apply ChatGPT to instruction, and potential…
Descriptors: Preservice Teachers, Teacher Attitudes, Artificial Intelligence, Technology Uses in Education
Learning Experience Design of Verbal Prompts in Virtual Reality-Based Training for Autistic Children
Jewoong Moon – Research in Learning Technology, 2024
This study aimed to explore the design and development of verbal prompts in virtual reality (VR)-based social skills training for autistic children. Autism indicates a category with neurodiversity that influences individuals' capability to engage in social and cognitive tasks. This complex neurodevelopmental condition manifests in a wide array of…
Descriptors: Learning Experience, Verbal Communication, Computer Simulation, Technology Integration
Seyyed Kazem Banihashem; Nafiseh Taghizadeh Kerman; Omid Noroozi; Jewoong Moon; Hendrik Drachsler – International Journal of Educational Technology in Higher Education, 2024
Peer feedback is introduced as an effective learning strategy, especially in large-size classes where teachers face high workloads. However, for complex tasks such as writing an argumentative essay, without support peers may not provide high-quality feedback since it requires a high level of cognitive processing, critical thinking skills, and a…
Descriptors: Feedback (Response), Peer Evaluation, Artificial Intelligence, Essays