Steve_TKU_2
楊鎮華 博士
國立中央大學 資訊工程學系 講座教授(2018~)
前教育部資訊及科技教育司司長(2013~2014)
前科技部資訊教育學門召集人(2012)
科技部 傑出研究獎(2010, 2017)
教育部 教育專業獎章(2015)

 

Stephen J.H. Yang, PhD

Chair Prof, National Central University, Taiwan

 

03-4227151-35308   jhyang@csie.ncu.edu.tw

 

 

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Awards

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實驗室

 

 

楊鎮華教授目前擔任國立中央大學資訊工程學系講座教授兼高教深耕辦公室執行長。楊教授為教育部資訊及科技教育司首任司長,歷任科技部資訊教育學門召集人、國立中央大學校務研究中心主任、電子計算機中心主任、總教學中心主任、副教務長、亞洲大學副校長。

 

楊教授兩度榮獲科技部傑出研究獎 (99年度、106年度),並於2015年榮獲教育部教育專業獎章。

 

楊教授1995年畢業於美國伊利諾大學芝加哥校區資訊工程博士,研究專長包括人工智慧、機器學習、大數據、學習分析,近年在研究上的主要貢獻為應用大數據及AI人工智慧技術分析學生學習成效,並提供早期預警,對改善教師教學以及提升學生學習成效具有卓越的貢獻。

 

楊教授至今已發表超過80SSCISCI學術期刊論文。楊教授在Google Scholar Citation超過一萬六千次,特別是在主要研究領域Artificial Intelligence in education citation次數居世界排名第四,Educational data miningcitation次數居世界排名第三,Learning analyticscitation 次數居世界排名第五。

 

楊教授早期的研究領域在「情境感知無處不在學習」(Context aware ubiquitous learning), 楊教授於2006年發表的論文Context aware ubiquitous learning environments for peer-to-peer collaborative learning. Educational Technology and Society, 9(1), 188-201,為當時國際上第一篇提出「情境感知無處不在學習」的期刊論文,直到今日,依據Google scholar資料,該論文已有超過522次引用,Web of Science 也有超過170次引用。

 

楊教授近期的研究領域在「精準教育」(Precision education),楊教授於2018年發表的論文Applying Learning analytics for the early prediction of students’ academic performance in blended learning, Educational Technology & Society, 21(2), 220-232.,是國際上第一篇將「精準教育」應用在適性化及個人化學習分析的期刊論文。楊教授目前透過與京都大學雙邊合作,使用京都大學的電子書閱讀系統 (BookRoll)記錄學生閱讀足跡(learning log),並應用人工智慧機器學習演算法進行「精準教育」的四個步驟:診斷、預測、治療、預防,達到提升教師教學與學生學習成效之目的。楊教授與京都大學共同成立的「臺日BookRoll夥伴關係(BookRoll Partnership Taiwan, BRPT)參與成員涵蓋國內20餘所大學、50餘名教師及4,500餘名學生,為臺日最大的跨國數位學習社群

 

楊教授致力於引導大數據研究領域,特別是教育領域下的大數據研究。在2016年於科技部資訊教育學門下成立了「教育大數據」特別興趣小組(SIG)楊教授透過實體研究社群與虛擬網路社群,搭配專題演講,持續發揮「教育大數據」之教育與社會影響力。楊教授的臉書社群參與人數已經超過一萬人。

 

楊教授在教育部司長任內,致力推動國家資訊教育及科技教育,規劃並啟動全國性的數位學習計畫,包括「數位基礎建設」、「教育雲端資源」及「創新學習模式」,提供全國450萬師生100G寬頻網路,隨時透過教育雲行動上網學習,鼓勵教師掌握數位創新教學,透過磨課師(MOOCs)及翻轉教育,落實以學習者為中心,促進公平、開放、自主及適性的學習機會,並落實城鄉數位學習機會均等,對於國內目前的數位教育體制具有深遠的影響。

 

楊教授目前擔任行政院科技會報兼任研究員以及科技政策群組審查委員,協助行政院審查科技預算以及中央政府科技發展計畫,並多次擔任中央政府與地方政府以及民間機關之諮詢委員,對於科技政策及政策建議書等具有關鍵影響力。

 

 

Professor Stephen J.H. Yang is currently the Chair Professor of the Department of Computer Science and Information Engineering of National Central University and the Chief Executive Officer of the Higher Education Office. Professor Yang is the first director of the Information and Technology Education Department of the Ministry of Education, Taiwan. He has served as the convener of the Information Education Department of the Ministry of Science and Technology, the director of the Institutional Research Center, the director of the Computer Center, the director of the General Teaching Center, and the deputy provost of National Central University, and Asia University Vice-President.

 

Professor Yang received the Outstanding Research Award from Ministry of Science & Technology (2010, 2017) and Distinguished Service Medal from Ministry of Education, Taiwan. (2015).

 

Professor Yang received his PhD degree in Electrical Engineering & Computer Science from the University of Illinois at Chicago in 1995. His research expertise includes artificial intelligence, learning analysis, educational data mining, machine learning, and deep learning. In recent years, his main research contribution is the application of AI technology to analyze students learning effectiveness and providing early warning, which has an outstanding contribution to improving teacher teaching and enhancing student learning effectiveness.

 

Professor Yang has published more than 80 papers in SSCI and SCI academic journals. In addition, Professor Yang has more than 16,000 times in Google Scholar Citation, especially in his main research fields, Artificial Intelligence in education, the number of citations ranked fourth in the world, the number of citations of Educational data mining ranked third in the world, and the number of citations of Learning analytics ranked fifth in the world.

 

Professor Yang's early research field is context aware ubiquitous learning. In 2006, Professor Yang published a paper entitled “Context aware ubiquitous learning environments for peer-to-peer collaborative learning.” Educational Technology and Society, 9(1), 188-201, this paper was the first international journal paper that proposed "Situational Awareness and Ubiquitous Learning". Until today, according to Google scholar data, the paper has been cited more than 523 times, and Web of Science has more than 170 citations.

 

Professor Yang's recent research field is "Precision education". Professor Yang's paper entitled “Applied learning analytics for the early prediction of students' academic performance in blended learning,” Educational Technology & Society, 21(2), 220-232, published in 2018, is the first international journal article that applies "precision education" to adaptive and personalized learning analysis. Professor Yang is currently using Kyoto University’s e-book reading system (BookRoll) to record the students’ reading log through bilateral cooperation with Kyoto University, and applies artificial intelligence and machine learning algorithms to carry out the four steps of "precision education": diagnosis, prediction, treatment, and prevention, to achieve the purpose of improving the effectiveness of teacher teaching and student learning. Professor Yang and Kyoto University jointly established the "BookRoll Partnership Taiwan, BRPT". The participating members include more than 20 domestic universities, more than 50 teachers and more than 4,500 students. It is the largest Taiwan-Japan digital learning community in higher education.

 

Professor Yang have a profound impact on the current digital education system in Taiwan. During his government service as the director of the Ministry of Education, Professor Yang is committed to promoting national information education and technology education, planning and launching a national digital learning plan, including "digital network infrastructure", "educational cloud resources" and "innovative learning models", providing 4.5 million teachers and students across the country have a 100G broadband network, and they can learn online through the educational cloud at any time. To let people have the equalization of urban and rural digital learning opportunities, teachers are encouraged to master digital and innovative teaching through MOOCs and flipped classrooms, so that the learner-centered, fairness, openness, autonomy and appropriate learning opportunities can be realized in Taiwan.