每年專案
個人檔案
研究專長
Quantitative Methodologies:
Machine Learning, Multilevel Analysis, Structural Equation modeling, Mediation and Moderation Analysis, Power Analysis, Generalized Linear Models, Longitudinal Data Analysis, Multiple Group Comparison.
Substantive Research Fields:
Artificial Intelligence in Education, Learning Analytics, Serious Simulation Game-based Learning, Cognitive Analysis and Emotion Detection via Voice Signal Processing
Attention & Meta-Attention, Strategic Intervention, Cognitive Abilities,
Electronic Reading literacy, PISA database analysis, Teacher Student Relationship Quality.
經歷
2010-2014 國立交通大學教育研究所助理教授
2014.8- 迄今 國立交通大學教育研究所副教授
與 UN SDG 相關的專業知識
聯合國會員國於 2015 年同意 17 項全球永續發展目標 (SDG),以終結貧困、保護地球並確保全體的興盛繁榮。此人的作品有助於以下永續發展目標:
教育/學術資格
PhD, 教育心理, Texas A&M University
外部位置
Keywords
- L Education (General)
- BF Psychology
- HA Statistics
指紋
- 1 類似的個人檔案
網路
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後疫時代下的個人學習環境內的主動學習:結合數位分心與動態學習歷程的多模態學習分析、評估與教學介入
1/08/22 → 31/07/23
研究計畫: Other Government Ministry Institute
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探研數位轉化之混成式學習場境內的教與學-總計畫暨子計畫三:探研數位轉化之混成式學習場境內的教與學—以人為本的多模態AI學習分析系統建置與研究增能;大學生動態動機與影片學習行為研究 :以後疫情時代的混成式統計課程學習為例
1/08/22 → 31/07/23
研究計畫: Other Government Ministry Institute
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後疫時代下的個人學習環境內的主動學習:結合數位分心與動態學習歷程的多模態學習分析、評估與教學介入
1/08/24 → 31/07/25
研究計畫: Other Government Ministry Institute
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探研數位轉化之混成式學習場境內的教與學-總計畫暨子計畫三:探研數位轉化之混成式學習場境內的教與學—以人為本的多模態AI學習分析系統建置與研究增能;大學生動態動機與影片學習行為研究 :以後疫情時代的混成式統計課程學習為例
1/08/24 → 31/07/25
研究計畫: Other Government Ministry Institute
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探研數位轉化之混成式學習場境內的教與學-總計畫暨子計畫三:探研數位轉化之混成式學習場境內的教與學—以人為本的多模態AI學習分析系統建置與研究增能;大學生動態動機與影片學習行為研究 :以後疫情時代的混成式統計課程學習為例
1/08/23 → 31/07/24
研究計畫: Other Government Ministry Institute
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Deploying multimodal learning analysis models to explore the impact of digital distraction and peer learning on student performance
Liao, C. H. & Wu, J-Y., 12月 2022, 於: Computers and Education. 190, 104599.研究成果: Article › 同行評審
開啟存取4 引文 斯高帕斯(Scopus) -
Effects of the manager's goal orientation on frontline service employees' service-sales ambidexterity conversion
Yen, H. R., Hu, P. J-H., Liao, Y-C. & Wu, J-Y., 9月 2022, (E-pub ahead of print) 於: Journal of Service Theory and Practice.研究成果: Article › 同行評審
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Harnessing the power of promising technologies to transform science education: prospects and challenges to promote adaptive epistemic beliefs in science learning
Wu, J. Y. & Tsai, C. C., 6 2月 2022, 於: International Journal of Science Education. 44, 2, p. 346-353 8 p.研究成果: Article › 同行評審
1 引文 斯高帕斯(Scopus) -
Analytics 2.0 for Precision Education: An Integrative Theoretical Framework of the Human and Machine Symbiotic Learning
Wu, J-Y., Yang, C. C. Y., Liao, C. H. & Nian, M. W., 1月 2021, 於: Educational Technology and Society. 24, 1, p. 267-279 13 p.研究成果: Article › 同行評審
12 引文 斯高帕斯(Scopus) -
Comparing the performance of machine learning and deep learning algorithms classifying messages in Facebook learning group
Huang-Fu, C. Y., Liao, C. H. & Wu, J. Y., 7月 2021, Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021. Chang, M., Chen, N-S., Sampson, D. G. & Tlili, A. (編輯). Institute of Electrical and Electronics Engineers Inc., p. 347-349 3 p. (Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021).研究成果: Conference contribution › 同行評審
5 引文 斯高帕斯(Scopus)
獎品
活動
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9th International Learning Analytics and Knowledge Conference
Jiun-Yu Wu (Member of program committee)
3月 2019 → …活動: Organizing a conference, workshop, ...
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27th International Conference on Computers in Education
Jiun-Yu Wu (Member of program committee)
12月 2019 → …活動: Organizing a conference, workshop, ...
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Advanced Quantitative Research Methods in Learning Science
Jiun-Yu Wu (Organizer)
5 6月 2019 → 11 6月 2019活動: Organizing a conference, workshop, ...
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