國立陽明交通大學教育研究所 吳俊育 教授

吳俊育 教授

 

吳俊育 教授 (教育心理組)
jiunyuwu@nycu.edu.tw / jiunyu.rms@gmail.com
辦公室電話: 03-5712121#31843

 

 

吳俊育教授於2001與2003年取得國立交通大學電信工程學系學士與碩士學位， 2010年獲得德州農工大學(Texas A&M University, College Station)教育心理學系博士學位，專研研究方法、心理量測與應用統計法（Research, Measurement & Statistics），畢業後即至國立交通大學教育研究所任職。現為國立陽明交通大學教育研究所/師資培育中心正教授。

他的研究著重於發展新穎數據演算法與統計建模策略，用以分析學習者在個人學習環境(Personal Learning Environment, PLE)內注意力狀態與注意力調控意願，及其對學習成效、生活適應相關表現。他嘗試深入了解學習者於開放式網路環境中使用者行為、調控策略使用、認知能力與學習成效表現之間機制，希冀找出影響學習者在PLE中選擇性注意力分配的機制（數位分心理論與正向介入）。具體來說，他使用新穎的數據分析技術，例如：機器學習，學習分析 、行為分析、視覺化、交互式圖形學等，及心理認知實驗與心理量測工具，全方位評估學習者在PLE中的注意力情況，並收集學習者在社交媒體中的心理變化、行為過程、生活適應與學業成效之大型結構與非結構數據進行統計與理論建模（以學習者為本的學習分析） 。他的學術著作發表於具有影響力的期刊上，如Computers & Education, Computers in Human Behavior,  Journal of Educational Psychology, Child Development, Structural Equation Modeling, Journal of School Psychology, Journal of Computer-Assisted Learning, Interactive Learning Environment, International Journal of Science Education, Learning and Individual Differences, Journal of Experimental Education, School Psychology Quarterly…等。研究表現榮獲108 年度科技部吳大猷先生紀念獎肯定。

除大學部教育心理學課程外，他以中文或英文教授研究所層級之基礎和進階應用統計課程，包括：多變量分析與機器學習，結構方程模型，階層線性建模和多階層建模等。吳俊育教授擔任多個教學實踐研究計畫區域基地計畫跨校教師社群教練，以及多校教學實踐研究計畫諮詢委員，同時擔任各級教實計畫審查委員，致力協助高等教育教學人員重視優質教學，提升學生自主學習成效。截至2022年底，他於全國各公私立大專院校、教學醫院共完成43次教學創新與實踐工作坊與演講分享，現場或線上參與人數逾2100人次，推廣高教課室科技與教學創新之實用性課程設計。教學績效榮獲110學年度第2學期特色課程創新類課程卓越獎，109學年度跨校區課程交流推廣教學計畫補助，108學年度激勵型教案課程計畫補助，107年度教育部教學實踐研究計畫亮點計畫獎勵，106學年度傑出教學獎，105學年度優秀教學獎, 100學年度績效特優導師。他積極投入地方教育服務，連續三年帶領交大師培中心史懷哲偏鄉服務團隊為國中生進行暑期教育專業服務(2014-2017)。與地區國高中合作開發數學、資訊、經濟素養等跨領域彈性課程等。截至2022年底，超過千名國二生完成課程，掌握理財與金融之當代能力素養。此課程教與學成效卓著，獲師生認同，已成該校教學特色之一。

他執行多個科學研究計畫，現任教育部「教育大數據分析計畫辦公室」-分析計畫共同主持人，台灣ICILS2023計畫共同主持人＆資料管理者，臺灣PISA2022取樣設計顧問、PISA2025國家研究團隊顧問。曾任台灣PISA 2015中心計畫共同主持人。學術服務方面，現擔任編輯委員服務於Journal of Clinical Psychology(SSCI, 2010-), Journal of School Psychology(SSCI, 2015-), International Journal of STEM Education(SSCI, 2017-)，中國測驗學會測驗學刊 (TSSCI, 2016-)，教育傳播與科技研究期刊 (2023-)。曾任教育理論與實踐學刊（台中教育大學, 2020-2022)，Journal of Personality Assessment (SSCI, 2016-2017)編輯委員。積極從事學術論文審查服務，榮獲Computers & Education (2017), Journal of School Psychology(2017)與Computers in Human Behavior(2015, 2018)傑出審稿人肯定。

WOS Research ID: D-6668-2013
ORCID: 0000-0002-3160-9658
Google Scholar: page
ResearchGate: page
Scopus: 36174675900

My citation metrics by May. 2023

  • Google Scholar: h-index=23, i10=29 (total citations = 2601)
  • ResearchGate : Research Interest Score  =838.1 (higher than 92% of RG members)
  • 2020, 2021 World’s Top 2% Scientists (全球前 2% 頂尖科學家, 2020, 2021年度科學影響力)

ML2lab

 

學歷

  • 美國德州農工大學 教育心理系 博士(2007.08 ~ 2010.05)
  • 國立交通大學 電信工程學系 碩士(2001.08 ~ 2003.05)
  • 國立交通大學 電信工程學系 學士(1997.08 ~ 2001.05)

經歷

  • Professor, IED&CTE, NYCU, Hsinchu, Taiwan. (2021.2 – present )
    Professor, IED&CTE, NCTU, Hsinchu, Taiwan. (2020.8 – 2021.1)
    Associate Professor, IED&CTE, NCTU, Hsinchu, Taiwan. (2014.8- 2020.7)
    Assistant Professor, IED&CTE, NCTU, Hsinchu, Taiwan.  (2010.8-2014.7)
  • Chairperson, Arete Honors Program (百川學士學位學程), NYCU (2021.8 ~ 2022.7)
    Associate Director, IED&CTE, NCTU, Hsinchu, Taiwan. (2016.8- 2018.7)
  • Co-Editor, Frontiers in Psychology(SSCI, IF 2017: 2.089).
  • Editorial Board Member, Journal of Clinical Psychology (SSCI, 2010-)
    Editorial Board Member, Journal of School Psychology  (SSCI, 2015-)
    Editorial Board Member, International Journal of STEM Education (SSCI, 2017-)
    Editorial Board Member, 測驗學刊 (TSSCI, 2016-)
    Editorial Board Member, 教育傳播與科技研究期刊 (2022-)
    Editorial Board Member, 教育理論與實踐期刊 (TSSCI, 2021-2022)
    Editorial Board Member, Journal of Personality Assessment (SSCI, 2016-2017)
  • Co-PI, MOE, Educational Big Data Analytics Project, 教育部「教育大數據分析計畫辦公室」-分析計畫
  • Co-PI, International Computer and Information Literacy Study 2023 Taiwan National Project. (ICILS 2023, 2022-2023)
    Co-PI, Programme for International Student Assessment Taiwan National Project. (PISA 2015, OECD, 2012-2017)
  • General Chair, The 15th Taiwan e-learning Forum (TWELF 2020, 11 tracks with # of Accepted Manuscripts = 138, our paper about this pioneering virtual conference during the early pandemic outbreak.)
    General co-Chair, 2019 Annual Meeting of Taiwan Association for Educational Communication and Technology @ NCTU (TAECT 2019 @ NCTU, # of Accepted Manuscripts = 88) 
  • Chair, MultiLevel Modeling SIG, American Educational Research Association (2014-2015)
    Vice-Chair, MLM SIG, American Educational Research Association (2013-2014)
  • 德州農工大學教育心理系 多階層線性方程式 助教(2009 ~ 2010)
  • 德州農工大學教育心理系 結構方程模型 助教(2009~ 2010)
  • 國立交通大學電信工程學系 通信網絡實驗與原理 助教(2002 ~ 2003)
  • 國立交通大學電信工程學系 通信系統實驗 助教(2001~ 2002)

授課

  • 多階層建模 Multilevel Modeling (碩博, 全英文授課)
  • 結構方程模式研究 Structural Equation Modeling (碩博, 全英文授課)
  • 應用機器學習 Applied Machine Learning (碩博, 全英文授課)
  • 應用多變量分析 Applied Multivariate Modeling (碩博, 全英文授課)
  • 高等應用統計研究(碩博)
  • 初等應用統計研究(碩博, 中英文授課)
  • 教育心理學(教育學程)

研究領域

  • Quantitative Methodologies:
    Machine Learning, Multilevel Analysis, Structural Equation Modeling, Text Mining, Feature Engineering, Mediation and Moderation Analysis, Power Analysis, Generalized Linear Models, Longitudinal Data Analysis, and 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.

分析專長與運算工具

                   Statistics   R, SAS, SPSS/PASW, STATA, HLM  
SEM
HLM/MLM		 Mplus, R,
Mplus, R, HLM, SAS, SPSS
Data Crawling R, Python
Text Mining R, Python
Machine Learning R, Python, Matlab
Voice and Signal Processing Python, Matlab
Data Visualization R, Python, Matlab

榮譽

2019 科技部吳大猷先生紀念獎，Ta-You Wu Memorial Award, MOST, Taiwan.
Flexible Wage Award for Excellence in Research, NCTU Taiwan (~2021.7)
2018 傑出教學獎，Outstanding Teaching Award, NCTU Taiwan, 2018
Flexible Wage Award for Excellence in Teaching, NCTU Taiwan (~2019.7)
2017 Flexible Wage Award for Excellence in Teaching, NCTU Taiwan (~2018.7)
Outstanding Reviewer-Computers & Education (Achieved: October 2017)
Outstanding Reviewer-Journal of School Psychology (Achieved: March 2017)
2016 Outstanding Reviewer-Computers in Human Behavior (Achieved: November 2015)
優良教學獎，Teaching Excellence Award, National Chiao Tung University, 2016
Flexible Wage Award for Excellence in Research, NCTU Taiwan (~2017.7)
Research Grant for three-year Research Investigators, NSC Taiwan (~2019)
2015 Outstanding Reviewer – Computers in Human Behavior (Achieved: November 2015)
Flexible Wage Award for Excellence in Research, NCTU Taiwan (~2017.7)
Research Grant for Excellent Junior Research Investigators, NSC Taiwan (~2018)
2014 Flexible Wage Award for Excellence in Service, NCTU Taiwan (~2015.7)
Research Award, NCTU Taiwan
2013 Flexible Wage Award for excellence in Service, NCTU Taiwan (~2015.7)
Research Award, NCTU Taiwan
2012 Research Grant for Excellent Junior Research Investigators, NSC Taiwan
2011 Mentor of Merit Award, National Chiao Tung University, 2011

導生

  • Ph. D. in Progress as Chair
    • Weng, Min-Chieh (翁敏傑) (Ph.D. in EPSY, 08/2017 ~), NYCU, Taiwan
    • Liao, Chen-Hsuan(廖晨瑄) (Ph.D. in EPSY, 08/2019~), NYCU, Taiwan
  • M.S. in Progress as Chair
    •  (林婉暄) (M.S. in EPSY, 02/2019 ~), NCTU, Taiwan
    •  (鍾欣蓉) (M.S. in EPSY, 08/2019 ~), NCTU, Taiwan
    •  (許員韶) (M.S. in EPSY, 08/2020 ~), NYCU, Taiwan
    •  (毛泑棠) (M.S. in EPSY, 08/2020 ~), NYCU, Taiwan
    •  (賴品君) (M.S. in EPSY, 02/2020 ~), NYCU, Taiwan
    •  (阮以箴) (M.S. in EPSY, 08/2021 ~), NYCU, Taiwan
    •  (王鈞亞) (M.S. in EPSY, 08/2021 ~), NYCU, Taiwan
  • M.S. Completed as Chair
    • Peng, Ya-Chun (彭雅君) (M.S. in EPSY, 08/2010 ~ 08/2012), NCTU, Taiwan
      – Member of The Phi Tau Phi Scholastic Honor Society
    • Wu, Suei-Ching (吳穗晴) (M.S. in EPSY, 08/2011 ~ 08/2012), NCTU, Taiwan
    • Cheng, Tzu-Ying (程姿螢) (M.S. in EPSY, 08/2011 ~ 06/2013), NCTU, Taiwan
    • Huang, Li-Chen (黃麗蓁) (M.S. in EPSY, 08/2012 ~06/2014), NCTU, Taiwan
    • Li, Shin (李欣) (M.S. in EPSY, 08/2012 ~08/2014), NCTU, Taiwan
    • Chung, Pei-Chih (鍾佩芝) (M.S. in EPSY, 08/2012 ~08/2014), NCTU, Taiwan
    • Tseng, Hsiang-Chun (曾湘淳) (M.S. in EPSY, 08/2012 ~01/2015), NCTU, Taiwan
    • Wang, Ling-Ling (王羚綾) (M.S. in EPSY, 08/2013 ~08/2015), NCTU, Taiwan
    • Xie, Chen (謝   忱)(M.S. in EPSY, 08/2013 ~09/2015), NCTU, Taiwan
    • Kao, Shih-Hui (高詩惠)(M.S. in EPSY, 08/2013 ~09/2015), NCTU, Taiwan
    • Chiou, Hao-En (邱浩恩)(M.S. in EPSY, 08/2014 ~04/2017), NCTU, Taiwan
    • Hsiao, Yi-Cheng (蕭義橙)(M.S. in EPSY, 08/2015 ~12/2017), NCTU, Taiwan
    • Nian, Mei-Wen (粘美玟) (M.S. in EPSY, 08/2016~08/2018), NCTU, Taiwan
      – Academic Excellence Award (top 5% in the class of 30 classmates)
      – Member of The Phi Tau Phi Scholastic Honor Society
    • Hsu, Yu-Ching (徐于晴) (M.S. in EPSY, 02/2017 ~07/2019), NCTU, Taiwan
    • Hung, Hsiao- Ching (洪筱晴) (M.S. in EPSY, 08/2016~08/2020), NCTU, Taiwan
    • (皇甫承佑) (M.S. in EPSY, 02/2019 ~12/2020), NCTU, Taiwan
    • Yang, Chang-Hsuan (楊昌軒) (M.S. in EPSY, 08/2017 ~01/2021), NCTU, Taiwan
      – Academic Excellence Award (top 5% in the class of 30 classmates)
    • Su, Hong-Kai (蘇弘愷) (M.S. in EPSY, 08/2017 ~02/2022), NYCU, Taiwan

計畫

  • 進行中
    MOE,  Taiwan 教育大數據分析計畫(計畫辦公室)
    2022/05/01~2023/12/31    		 Co-PI
    MOST, Taiwan The Digital Transformation of the Learning and Teaching Practices in Hybrid Learning Environments—The framework of Human-centric & Multi-modal Learning Analytics with AI techniques & its research empowerment; A study on dynamic motivation & video behaviors 
    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
    111-2410-H-A49-066-MY3
    2022/08/01~2025/07/31    		 PI
    MOST, Taiwan Promoting the Active Learning in the Post-Pandemic era: Multi-Modal Learning Analytics, Dynamic Learning Assessment and the Design of Learning Materials to Prevent Digital Distraction and Facilitate Learning Effectiveness 
    吳大猷先生紀念獎計畫: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
    110-2525-H-A49-001-MY4
    2021/08/01~2025/07/31    		 PI

  • 已完成
    MOST, Taiwan Learning Analytics 2.0: Reinforcement Machine & Human Symbiotic Learning to Enhance Evidence-based Teaching and Learning Effectiveness within Smart Learning Environment 
    學習分析2.0:增強式人機互動學習促進以證據為本之智慧學習環境中的教 學和學習成效
    108-2511-H-009-013-MY3
    2019/08/01~2022/07/31    		 PI
    NCTU, Taiwan Evaluation of the Baichuan bachelor entrance program: Learning effectiveness, course satisfaction, life adjustment, and teacher-student relationship quality – the first phase.
    2018/10/01~2019/01/31    		 PI
    MOE, Taiwan Teaching Practice Grant: Through the training of this Advanced Statistics course, you can analyze the data with less anxiety: Integrating the innovative instruction technology and social media to enhance the active and smart learning of analytics literacy,
    2018/08/01~2019/07/31    		 Co-PI
    MOST, Taiwan Research on the Theory of Meta-Attention within the Personal Learning Environment Premised on Social Media 
    基於社交媒體之個人學習環境後設注意力理論研究
    105-2511-S-009 -009 -MY3
    2016/08/01~2019/07/31    		 PI
    MOST, Taiwan Multilevel Higher-Order Latent Mediation Effect Modeling: A Methodological-Substantial Synergy Using Developmental Theory to Explore the Possibility of Higher-Order Interaction between Teacher-Student Relationship Quality and Related Constructs in Taiwan
    多階層高階潛在調節效果建模法 : 理論與實務方法融合之應用發展理論建構本土師生關係構念與高階交互作用項之可能性探索
    104-2628-H-009 -001 -SS3
    2015/08/01~2018/07/31    		 PI
    MOST&MOE,
    Taiwan    		 Taiwan PISA 2015
    2012/09/01~2017/07/31    		 Co-PI
    MOST, Taiwan Establishing the theoretical, developmental, and evaluative foundation on the theory of Meta-Attention through online learning and online social activities 
    後設注意力於線上學習與社交活動之理論性、發展性、評量性論證研究
    103-2511-S-009 -007
    2014/08/01~ 2015/07/31    		 PI
    MOST, Taiwan Issues of Conditioned Multilevel Latent Growth Curve Modeling: Examining the Effect of Ignoring Dependency in Complex Survey Longitudinal Data and Exploring the Possibility of Cross-Level Interaction Term
    受限制多階層潛在成長曲線模型議題探討: 忽略多階層長期資料相關性之影響評估與跨階層交互作用之可能性探索 
    NSC-101-2628-H-009-003-MY3
    2012/08/01~2015/07/31    		 PI
    MOST, Taiwan Examining the risk factors for low-achieving junior high school students: a prospective study to address the issue of students at risk of academic failure
    NSC-100-2410-H-009-057
    檢視造成學業低成就國中生之危險因子: 一前瞻性研究用以解決學生瀕臨學業成就失敗的議題(I)
    2011/08/01~2012/07/31    		 PI
    MOST, Taiwan Testing the Effectiveness of Three Modeling Approaches in Addressing Data Dependency with Empirical Data under Structural Equation Modeling Framework
    在結構方程模式的範疇下以實際資料探究三種解決數據相關性方法的有效性
    NSC-100-2410-H-009-002
    2011/1/1 ~ 2011/9/30    		 PI

發表

  • Peer Reviewed Journal Articles (Google Scholar *Correspondent  †Advisee)

 

  • Books/Book Chapters

    1. 吳俊育, 粘美玟†, & 程姿螢†. (2020). 百川學子引領自學新潮流. In 王蒞君 & 劉奕蘭 (Eds.), 化鏡為窗：大數據分析強化大學競爭力 (1st ed.). 國立交通大學出版社. https://www.books.com.tw/products/001085707

    2. Kwok, O., Cheung, M. W.-L., Jak, S., Ryu, E., & Wu, J.-Y. (2019) Recent advancements in structural equation modeling (SEM): From both methodological and application perspectives. Quantitative Psychology and Measurement. Frontiers in Psychology.

    3. Wu, J. Y. (2017). Findings and implications of students’ ICT questionnaire. In H.-C. She & H. Lin (Eds.), Taiwan Student Performance on PISA 2015 (1st ed., pp. 287–332).

    4. Wu, J. Y., & Willson, V. (2010). Expected value. In N. Salkind (Ed.), Encyclopedia of research design. Thousand Oaks, CA: Sage.