A5042603633- Online Learning and Analytics
- Educational Technology and Assessment
- Teaching and Learning Programming
- Educational Games and Gamification
- Online and Blended Learning
- Intelligent Tutoring Systems and Adaptive Learning
- Virtual Reality Applications and Impacts
- Gender and Technology in Education
- Soil and Land Suitability Analysis
- Experimental Learning in Engineering
- Open Education and E-Learning
- Innovative Teaching and Learning Methods
- Innovative Teaching Methods
- Advanced Text Analysis Techniques
- Gaze Tracking and Assistive Technology
- Mobile Learning in Education
- Augmented Reality Applications
- AI in Service Interactions
- Visual and Cognitive Learning Processes
- EEG and Brain-Computer Interfaces
- Education and Technology Integration
National Cheng Kung University
2019-2023
University of Illinois Urbana-Champaign
2009
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 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...
In recent years, Internet of Things (IoT) technology has brought many applications and developments for wearable devices, the use non-invasive electroencephalography (EEG) instruments to measure attention been a topic discussion. However, correlation between cognitive load rarely analyzed by data mining. For this reason, study used head-mounted EEG based on IoT collect values related two courses extracurricular activities questionnaire investigate loads subjects. Correlation analysis was...
In elementary school, the first step to learning about plants is observing plant features.In this study, we developed a search system that allows users do even when they not know name simply by characteristics.The consists of total 12 features, searches for features according input and returns top 10 with best match.Furthermore, adopted three different calculation methods feature calculation, including fuzzy function, association rule-based similarity (ARBS), combination two.The calculated...
Online learning has been widely discussed in education research, and open educational resources have become an increasingly popular way to help learners acquire knowledge. However, these contain massive amounts of information, making it difficult for identify Web articles that refer computer science This study developed Internet retrieval agent combined with dynamic associative concept maps (DACMs). The system used text mining technology analyze keywords filter articles. In previous were...
There are many resources on the Internet. Searching for articles or multimedia videos is usually interspersed with irrelevant information advertisements, which may cause students to spend a lot of time judging whether search results suitable learning materials. Therefore, this study developed pathway system by analyzing representative keywords and difficulty Internet in an automated way then explored performance motivation using system. In addition, 67 were recruited into 18 weeks...