孫之元   美國南加州大學 教育心理與科技博士/電腦科學碩士、美國匹茲堡大學 資訊科學碩士

國立交通大學 教育研究所 數位學習組/師資培育中心 教授
研究領域:
學習動機 (Learning Motivation)
教育心理、教學科技 (Educational Psychology and Technology)
互動學習、即時回饋 (Interactive Learning and IRS)
生理訊號分析 (Analysis of Physiological Signals and Biofeedback)
智慧化學習與分析 (Smart Learning and Learning Analytics)

2018年: 科技部優秀年輕學者研究計畫獎勵
2016年: 國立交通大學優良教學獎
2015年: 科技部吳大猷先生紀念獎
2014年: 國立交通大學績效特優導師獎
2015~2018年: 國立交通大學彈性薪資暨獎勵補助研究類優秀教研人員

孫之元教授為國立交通大學教育研究所(數位學習組)/師資培育中心教授、互動學習科技與動機研究室主持人(http://elearning-lab.nctu.edu.tw)、美國南加州大學教育心理與科技博士及電腦科學碩士,研究與教學領域包含結合各式創新的互動回饋科技,如課堂互動回饋、生理訊號回饋、智慧化線上回饋,並研究此學習環境對學習動機的影響。2016年獲科技部吳大猷先生紀念獎。歷年來科技部專題研究計畫的主要方向為開發互動式回饋科技與教學策略,並評估其對學習動機之影響。所執行的教育部計畫主要目標為負責臺灣學術倫理教育中心網站建置與維運,建構具適性功能的網路學習系統,並以學習分析、序列分析與群集分析研究線上使用者的學習模式,作為改善學習系統、提升學生學習動機與智慧化學習系統設計之參考。

過去所發表之中英文期刊論文以創新教學工具與學習動機為主。其中發表於Computers & Education期刊之研究中,在課室內透過腦波資料分析,以評估課堂互動學習科技,提供數位學習領域創新之研究方法。在實務推廣方面,科技部計畫執行期間所開發的平板電腦教學工具iFIT,能夠讓教師上課時進行課堂互動與即時回饋。透過主辦地方教育輔導活動,推廣此教學工具,並以專題演講、教學實作、綜合座談討論等方式讓中學教師學習多元教學方式,進而善用資訊科技融入教學,以提升教師教學多元技能與更有效之教學模式。

Dr. Jerry Chih-Yuan Sun is a Professor in the Institute of Education (Division of eLearning)/Center for Teacher Education at the National Chiao Tung University in Taiwan, where he leads the Interactive Learning Technology and Motivation Lab (see http://elearning-lab.nctu.edu.tw). He holds a doctoral degree in education and master’s degree in computer science from the University of Southern California. His major research interests are integrating various types of innovative technology-enabled feedback, including IRS, EEG bio-feedback, and online smart feedback, as well as investigating how these learning environments influence students’ motivation. In 2016, Dr. Sun received the Ta-You Wu Memorial Award for Young Scholars’ Research Excellence from Taiwan Ministry of Science and Technology (MOST). His recent projects have focused on the development of interactive feedback technologies and the relevant teaching strategies, and investigated the effect on students’ motivation. He is also a principal investigator of the sub-project of Taiwan Research Ethics Education. The goal is to maintain the e-learning resource center, develop the smart/adaptive learning environment, and analyze students’ behaviors based on learning analytics, sequential analysis, and cluster analysis in order to serve as a reference for improving learning systems, enhancing students’ motivation, and developing smart learning environments.

Dr. Sun’s recent publications emphasized the innovative teaching tools and learning motivation. One of his papers published in Computers & Education provided an innovative research method for e-learning by applying brainwave analysis in the classroom setting to assess the effect of interactive learning technology. In addition, the interactive, feedback-based in-class teaching system (iFIT) App developed for the MOST project helps teachers increase in-class interactions and get instant feedback. He hopes to provide not only theoretical insight but also feasible strategies, which would help create a more engaging experience for students involved in the learning environment.