國立中央大學教師履歷平台

期刊著作

• Faculty development and career success in clinical teaching
  International journal of medical education, 16, 203-211, 2025-12-22
  [ clinical teachers,faculty development,feedback,publications,teaching award ]

• The impact of GenAI-enabled coding hints on students' programming performance and cognitive load in an SRL-based Python course
  British Journal of Educational Technology, 56, 5, 1942-1972, 2025-09-01
  [ cognitive load,generative artificial intelligence,self-regulated learning ]

• Improving students’ learning performance and summarisation ability through a Generative Al-enabled Chatbot
  Educational Technology and Society, 28, 3, 82-111, 2025-01-01
  [ Artificial intelligence in education,data science applications in education,Educational data mining,Natural language processing ]

• Challenges, Practices, and Research Issues of Diversity and Inclusion in Artificial Intelligence for Sustainable Education
  International Journal on Advanced Science, Engineering and Information Technology, 15, 5, 1387-1394, 2025-01-01
  [ Artificial intelligence,diversity,inclusion,sustainable education ]

• Exploring the significance of medical humanities in shaping internship performance: insights from curriculum categories
  Medical Education Online, 30, 1, 2025-01-01
  [ internship performance,machine learning regression,medical education,Medical humanities,multiple logistic regression ]

• Learning pathways composed of core subjects with features of reducing cognitive load have better learning outcomes
  Journal of the Chinese Medical Association, 87, 7, 714-721, 2024-07-01
  [ Learning outcomes,Learning pathway,Reducing cognitive load,Scaffolding ]

• DNA of learning behaviors: A novel approach of learning performance prediction by NLP
  Computers and Education: Artificial Intelligence, 6, 2024-06-01
  [ Artificial intelligence in education,Learning behavior analysis,Learning performance prediction,Natural language processing,Teaching/learning strategies ]

• Using machine learning to identify key subject categories predicting the pre-clerkship and clerkship performance: 8-year cohort study
  Journal of the Chinese Medical Association, 87, 6, 609-614, 2024-06-01
  [ Area under the ROC curve,Cohort study,Machine learning,Medical students,Random forest ]

• Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review
  Smart Learning Environments, 10, 1, 2023-12-01
  [ Artificial intelligence,Education sustainability,Intelligent tutoring system,Massive open online course,Sustainable education ]

• Effects of artificial Intelligence–Enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom
  Computers and Education, 194, 2023-03-01
  [ Data science applications in education,Distance education and online learning,Improving classroom teaching ]

• A Review of AI-Driven Conversational Chatbots Implementation Methodologies and Challenges (1999–2022)
  Sustainability, 15, 5, 2023-03-01
  [ chatbot,conversational agents,conversational chatbot,dialogue generation,dialogue response,dialogue strategies,dialogue system,machine learning ]

• Feasibility and Accessibility of Human-centered AI-based Simulation System for Improving the Occupational Safety of Clinical Workplace
  Educational Technology and Society, 26, 1, 160-170, 2023-01-01
  [ Clinical waste management,Needle stick sharp injury,Virtual reality ]

• Personalized Intervention based on the Early Prediction of At-risk Students to Improve Their Learning Performance
  Educational Technology and Society, 26, 4, 69-89, 2023-01-01
  [ Artificial intelligence,Machine learning,Personalized intervention,Self-regulated learning ]

• Impact of teachers’ grading policy on the identification of at-risk students in learning analytics
  Computers and Education, 163, 2021-04-01
  [ At-risk students,Data imbalance,Grading policy,Learning analytics ]

• Expert Authored and Machine Generated Short Answer Questions for Assessing Students Learning Performance
  Educational Technology and Society, 24, 3, 159-173, 2021-01-01
  [ Automatic question generation,Learning performance,Artificial intelligence,Practice testing,Turing test ]

• Can self-regulated learning intervention improve student reading performance in flipped classrooms?
  International Journal of Online Pedagogy and Course Design, 10, 4, 1-13, 2020-10-01
  [ E-Book Reading Log,Learning Performance,Learning Strategy,Online Learning,Self-Efficacy,Self-Regulated Learning ]

• Predicting students’ academic performance by using educational big data and learning analytics: evaluation of classification methods and learning logs
  Interactive Learning Environments, 28, 2, 206-230, 2020-02-17
  [ academic performance , classification methods , Educational big data , learning analytics , learning logs ]

• Exploring the effects of online learning behaviors on short-term and long-term learning outcomes in flipped classrooms
  Interactive Learning Environments, 27, 8, 1160-1177, 2019-11-17
  [ Flipped classroom , learning analytics , learning behaviors , learning outcome , multiple linear regression ]

• Predicting students’ academic performance using multiple linear regression and principal component analysis
  Journal of Information Processing, 26, 170-176, 2018-01-01
  [ Learning analytics , Multiple linear regression , Principal component analysis ]

• Applying learning analytics for the early prediction of students' academic performance in blended learning
  Educational Technology and Society, 21, 2, 220-232, 2018-01-01
  [ Blended learning,Educational big data,Learning analytics,MOOCs,Principal component regression ]

• Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course
  Interactive Learning Environments, 25, 2, 220-234, 2017-02-17
  [ big data analytics , collaborative programming , Learning analytics , MOOCs , self-regulated learning ]

• Mining time-interval sequential patterns with high utility from transaction databases
  Journal of Advanced Computational Intelligence and Intelligent Informatics, 20, 6, 1018-1026, 2016-11-01
  [ Sequential pattern mining,Time interval,Utility ]

研討會著作

• Trustworthy and Explainable AI for Learning Analytics
  3-12, 2024-01-01
  [ Explainable AI,Learning Analytics 1,Trustworthy ]

• A Quality Data Set for Data Challenge: Featuring 160 Students' Learning Behaviors and Learning Strategies in a Programming Course
  64-73, 2022-11-28
  [ AIED,Educational data,learning analytics ]

• 探討電子書閱讀參與度與自我調適學習對學習成效的影響
  2022-03-24
  [ 自我調適學習,電子書閱讀參與度,學習成效 ]

• 應用機器學習預測醫學系學生在基礎醫學和臨床醫學中的學習成效
  2022-03-24
  [ 機器學習,支援向量,決策樹 ]

• Considering temporal features in early prediction of at-risk students
  350-351, 2021-07-01
  [ Early prediction,Learning analytics,Long-Short-Term-Memory ]

• Exploring learning strategies by sequence clustering and analysing their correlation with student's engagement and learning outcome
  360-362, 2021-07-01
  [ Learning analytics,Learning outcome,Learning strategies,Sequence clustering,Student engagement ]

• Automatic question generation for repeated testing to improve student learning outcome
  339-341, 2021-07-01
  [ Automatic question generation,Learning outcome,Repeated testing ]

• The implementation of precision education for learning analytics
  327-332, 2020-12-08
  [ Diagnosis,Learning analytics,Precision education,Prediction,Prevention,SQ3R,Treatment ]

• Using sequence clustering to unveil students' learning strategies and explore the relationship with cognitive load
  267-271, 2020-11-23
  [ Cognitive Load,Learning Strategies,Sequence Clustering ]

• Sequence pattern mining for the identification of reading behavior based on SQ3R reading strategy
  307-311, 2020-11-23
  [ Computer-assisted learning,Reading strategy,SQ3R ]

• Benchmarking and tuning regression algorithms on predicting students’academic performance
  477-486, 2018-11-24
  [ At-risk Student Identification , Learning Analytics , Regression ]

• Early-Stage Engagement: Applying Big Data Analytics on Collaborative Learning Environment for Measuring Learners' Engagement Rate
  106-110, 2017-02-01
  [ Big-Data Analysis , Clickstream Data , Collaborative Programming , Computer-supported Collaborative Learning , Learning Analytics ]

• MOOCs for K-12 and higher education in Taiwan
  361-365, 2016-08-31
  [ Flipped classroom , MOOCs , Self-regulated learning ]

• Considering high utilities for time interval sequential pattern mining
  412-418, 2016-02-12
  [ pattern,sequential pattern mining,time interval,utility ]

專書

• Communications in Computer and Information Science
  262-272, 2020-01-01
  [ AUC,Classification,Spearman correlation ]

• Lecture Notes in Educational Technology
  101-116, 2016-01-01
  [ Collaborative learning,Flipped classroom,MOOCs,Self-paced learning,Self-regulated learning ]