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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
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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
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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
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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
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Unggi Lee; Haewon Jung; Younghoon Jeon; Younghoon Sohn; Wonhee Hwang; Jewoong Moon; Hyeoncheol Kim – Education and Information Technologies, 2024
Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent…
Descriptors: Artificial Intelligence, Computer Software, Learning Management Systems, Teaching Methods
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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