报告人简介：王梅玲教授是台湾政治大学图书资讯与档案学研究所教授兼图书资讯学数位硕士在职专班执行长，主持多项台湾科技与教育主管部门的专题研究计划。获得台湾大学图书资讯学研究所博士，曾担任台湾政治大学图书资讯与档案学研究所所长、台湾地区“国家图书馆”主任、台湾大学图书馆采访组主任，玄奘大学图书馆馆长，以及主持过ALIEP，QQML许多国际研究会议，现担任《图书与档案学刊》主编。学术专长为：图书资讯学教育、国际图书资讯学、馆藏管理、图书馆评鉴、数位学习、资讯素养教育。专著14本，论文100余篇。 

报告内容：數位學習改變高等教育，提供學生更多學習機會，科技轉變大學，使得高等教育更有競爭力，也改變大學教育模式，出現許多線上課程、線上學程、線上教育、開放課程、MOOCs慕課。遠距教育使學生不受時間與空間限制，藉由科技與傳播工具傳遞，在設計的課程中接受教師的教學，以達到學習目的。線上教育帶給高等教育發展新方向，也促進教與學的新趨勢。新的傳播科技不斷進步，將數位學習傳遞在美國與世界各地，並且創造E-learning與線上教育市場，許多教育者開始實驗結合電腦與網路科技，發展新的遠距教學觀念與方法。美國自1996年LEEP線上教育實驗計畫成功，開啟圖書館與資訊科學線上教育紀元，如今已發展出四十所圖書館與資訊科學線上碩士班。臺灣自2009年也開辦圖書館與資訊科學線上教育。數位學習風潮席捲全球，對於圖書館與資訊科學教育有何影響以及未來發展，均是重要研究礒題。本演講報告有關數位學習如何改變高等教育，美國與臺灣圖書館與資訊科學線上教育，美國圖書館與資訊科學線上教育制度，臺灣圖書館與資訊科學線上教育制度，美國與臺灣圖書館與資訊科學線上碩士班現況，分析美國與臺灣圖書館與資訊科學線上碩士班評鑑。美國圖書館與資訊科學線上教育評鑑採用認可制，臺灣採用品質保證制，各具特色，皆展現線上教育藉由評鑑以保證其品質與教育成效。

报告人简介：Dr. Ying Ding is a Professor at School of Informatics, Computing, and Engineering and is currently associate director of data science online program at Indiana University. She has been involved in various NIH, NSF and European-Union funded projects. She has published 190+ papers in journals, conferences, and workshops, and served as the program committee member for 180+ international conferences. She is the co-editor of book series called Semantic Web Synthesis by Morgan &Claypool publisher. She is co-author of the book "Intelligent Information Integration in B2B Electronic Commerce" published by Kluwer Academic Publishers, and co-author of the book chapter in "Spinning the Semantic Web" published by MIT Press. She is the co-editor in chief for Journal of Data and Information Science, and serves as the editorial board member for four ISI indexed journals in Information Science and Semantic Web. She is the co-founder of Data2Discovery company advancing cutting edge technologies in data science. Her current research interests include data-driven knowledge discovery, Semantic Web, knowledge graph, scientific collaboration, and the application of Web Technology.

演讲内容介绍：Data have fundamentally changed our daily lives. Data now can be bought and sold, and soon data analytics will become commodity as well. Data have significantly challenged every discipline to revisit its research roadmap to stay competitive. This talk will point out the paradigm shift of bibliometrics (or science of science in a broader way) and illustrate some potential interesting research directions that are data-driven. It will showcase some concrete researches on data-driven discovery and data-driven decision making.