- Online Learning and Analytics
- Innovative Teaching and Learning Methods
- Educational Games and Gamification
- Virtual Reality Applications and Impacts
- Visual and Cognitive Learning Processes
- Reflective Practices in Education
- Technology-Enhanced Education Studies
- Intelligent Tutoring Systems and Adaptive Learning
- Teaching and Learning Programming
- Simulation-Based Education in Healthcare
- Online and Blended Learning
- AI in Service Interactions
- Mobile Learning in Education
- Spatial Cognition and Navigation
- Education and Critical Thinking Development
- E-Learning and COVID-19
- Artificial Intelligence in Healthcare
- Educational Assessment and Pedagogy
- Cardiac Arrest and Resuscitation
- Higher Education Learning Practices
National Cheng Kung University
2023-2024
National Yunlin University of Science and Technology
2024
National Center for High-Performance Computing
2024
This study combines ChatGPT, Apple’s Shortcuts, and LINE to create the ChatGPT-based Intelligent Learning Aid (CILA), aiming enhance self-regulation progress knowledge construction in blended learning. CILA offers real-time, convergent information learners’ inquiries, as opposed traditional Google search engine that provide divergent information. By addressing questions promptly, minimizes interruptions during performance phase of progress. The tool records answers, aiding self-reflection We...
Abstract In the evolving landscape of higher education, challenges such as COVID-19 pandemic have underscored necessity for innovative teaching methodologies. These catalyzed integration technology into particularly in blended learning environments, to bolster self-regulated (SRL) and higher-order thinking skills (HOTS). However, increased autonomy can lead disruptions if issues are not promptly addressed. this context, OpenAI's ChatGPT, known its extensive knowledge base immediate feedback...
Abstract In the field of Science, Technology, Engineering, and Mathematics (STEM) education, which aims to cultivate problem-solving skills, accurately assessing learners' engagement remains a significant challenge. We present solution this issue with Real-time Automated STEM Engagement Detection System (RASEDS). This innovative system capitalizes on power artificial intelligence, computer vision, Interactive, Constructive, Active, Passive (ICAP) framework. RASEDS uses You Only Learn One...
Given the inadequacy of assessed outcomes (e.g., final exam) and importance evaluating learning process in STEM education, we use deep to develop behavior analysis system (SLBAS) assess learners education. We map learner ICAP (interactive, constructive, active, passive) framework, helping instructors better understand learners. The results show that SLBAS exhibits high accuracy. Moreover, Cohen’s kappa coefficient between expert coding is enough support replacing observation method with...
Abstract Background Virtual reality (VR) offers significant potential for hands‐on learning environments by providing immersive and visually stimulating experiences. Interacting with such can bring numerous benefits to learning, including enhanced engagement, knowledge construction, higher‐order thinking. However, many current VR studies in tend utilise one‐way materials, limiting participants' ability interact reflect on their actions Moreover, these often neglect assess learners' capacity...
The affordance of immersive virtual reality (VR) holds great potential for education, supporting learning through simulation and visualization. However, the literature on STEM education indicates that VR is not necessarily more effective than traditional learning, because participants are immersed in environments with high visual loads, which increases cognitive load, resulting poor outcomes. In addition, studies rarely evaluate learner performance physical hands-on activities after...
Virtual reality (VR) provides a unique platform for interactive learning experiences, enhancing learning, particularly in hands-on courses. However, the visual load of VR and lack guidance interaction from physical teachers or peers can pose challenges learners self-regulated (SRL) motivation. This study designed feedback environment based on signaling principles Cognitive Theory Multimedia Learning (CTML) to investigate learners' SRL, motivation, cognitive levels, their abilities handle...
Science, Technology, Engineering, and Mathematics (STEM) education is essential for developing future-ready learners in both secondary higher levels. However, as students transition to education, many encounter challenges with independent learning research. This can negatively impact their Higher-Order Thinking Skills (HOTS), engagement, practical expertise. study introduces a solution: Computational Scaffolding (CTS) the Jupyter Notebook environment, designed enhance STEM at tertiary level....
Abstract Background In the realm of Science, Technology, Engineering, and Mathematic (STEM) education, computer programming stands as a vital discipline, amalgamating cross-disciplinary knowledge fostering capacity to solve real-world problems via fundamental concepts logical methodologies inherent science. Recognizing important programming, numerous countries have mandated it compulsory course augment competitiveness K-12 learners. Nevertheless, complexity for learners often goes...
Abstract Background Benefited from advances in technology, virtual reality (VR) has been widely applied to learning content operational training as well hands‐on courses. However, most current studies tend evaluate effectiveness this application, and few were focused on how learners can be benefited transferring the knowledge learned real‐world field performance. Moreover, application‐oriented courses such embedded electronic circuits, our best knowledge, none presented interactive materials...
This study investigates the application of Virtual Reality (VR) in educational field, particularly its integration with GAI technologies such as ChatGPT to enhance learning experience. The research indicates that while VR provides an immersive environment fostering student interaction and interest, lack a structured framework personalized feedback may limit effectiveness potentially affect transfer VR-learned knowledge physical hands-on tasks. Hence, it calls for provision more targeted...
Abstract Virtual Reality (VR) has demonstrated significant advantages in various educational fields as it allows learners to actively learn high interactivity and realism under their learning pace. However, for low‐achieving students, VR environments may introduce some challenges, which are problems encountered during process, lead difficulties self‐regulating progress becoming disoriented the lack of guidance. This study aims explore improvement self‐regulated environment based on Cognitive...
Recently, there has been a growing interest in improving students' competitiveness STEM education. Self-reporting and observation are the most used tools for assessment of Despite their effectiveness, such face several challenges, as being labor-intensive time-consuming, prone to subjective awareness, depending on memory limitations, influenced due social expectations. To address these this research, we propose an approach called Image4Assess that---by benefiting from state-of-the-art...
The core purpose of integrating inquiry-based learning strategies into STEM activities is to create a challenging environment that stimulates students’ active learning, thereby effectively enhancing their interest in thinking skills, and practical application abilities. To achieve these goals, developing more technology-assisted tools platforms improve teaching efficiency enrich the experience becomes crucial. Therefore, this research developed InquiryGPT, which guides students through POEE...
Abstract Background Science, Technology, Engineering, and Mathematics (STEM) education in Asian universities struggles to integrate Knowledge, Skills, Attitudes (KSA) due large classes student reluctance. While ChatGPT offers solutions, its conventional use may hinder independent critical thinking. Objectives This study introduces PA‐GPT, using as a “virtual peer” peer assessments promote active learning enhance knowledge, higher‐order thinking skills (HOTS), attitudes—the core of KSA STEM....
This study uses a quasi-experimental design to explore the role of natural language processing (NLP) and speech recognition technologies in supporting teacher interventions during collaborative STEM activities. The Speech Recognition Keywords Analysis System (SRKAS) was developed extract keywords from student discussions, enabling real-time monitoring timely support. compares proactive passive interventions, focusing on their effects engagement, anxiety, confidence. Results show that enhance...