杨宗凯:

西安电子科技大学校长,教授、博士生导师。1985年毕业于华中理工大学无线电系,1988年获硕士研究生学历和学位;1991年毕业于西安交通大学通信与电子系统专业,获博士研究生学历和学位;1991年至1993年在华中理工大学电子与通信专业从事博士后研究工作;享受国务院政府特殊津贴专家,首批“新世纪百千万人才工程”国家级人选,国家督学,联合国教科文组织统计研究所(UIS)理事会成员

长期从事数字化学习技术、计算机网络通信、现代服务业关键技术等方面的研究和开发。作为编制专家组组长主持制定《国家教育信息化十年发展规划(2011-2020年)》,作为第一完成人获得高等教育国家级教学成果特等奖。现兼任国家数字化学习工程技术研究中心主任,教育大数据应用技术国家工程实验室主任,国家教育数字媒体与可视化知识服务学科创新引智(111)基地负责人,中国信息协会专家委员会委员,教育部教育信息化专家组成员,教育部高等学校教学信息化与教学方法创新指导委员会主任委员。




W. Lewis Johnson, Ph.D:

Dr. Johnson is an internationally recognized expert in AI education. For his work on the first Alelo immersive game, Tactical Iraqi, he won DARPA’s Significant Technical Achievement Award. Alelo’s Enskill English is a finalist for the British Council’s award for Digital Innovation in English Language Teaching. He has been a past President of the International AI in Education Society and was co-winner of the 2017 Autonomous Agents Influential Paper Award for his work in the field of pedagogical agents. He has been invited to speak at many international conferences such as the International Conference on Intelligent Tutoring Systems, and presented a Distinguished Lecture at the National Science Foundation.

Dr. Johnson received his undergraduate degree in Linguistics from Princeton University and his Ph.D. in Computer Science from Yale University. Talk Title:The Seven Roles that AI Can Play to Transform Education

Abstract: The goal of artificial intelligence (AI) in education should be not to replace teachers but to work alongside them, to assist both learning and teaching. AI can perform tasks that are time consuming and difficult for teachers to perform on their own. We can identify at least seven roles that AI can play in the learning process: Communicate, Assess, Critique, Guide, Orchestrate, Summarize, and Construct. Advances in natural language processing and machine learning, and the availability of learner data increasingly makes all of these roles possible. As AI combines these roles it sets the stage for a fundamental transformation of learning methods and learning organizations. These seven roles are being realized in Alelo Enskill, a cloud-based platform for learning communication skills. Students and teachers in over twenty countries are learning English with Enskill. It is a finalist for the British Council’s award for Digital Innovation in English Language Teaching.




胡祥恩:

华中师范大学心理学院院长;第七批国家“”创新人才,美国孟菲斯大学终身教授、孟菲斯大学智能系统研究所先进学习技术(ALT)实验室主任;美国E-learning国家实验室分部主任,美国科学基金项目,美国国防部科学基金项目,美国教育部科学研究基金项目课题负责人。 Talk Title: An introduction to General Intelligent Framework for Tutoring (GIFT)

Min Chi:

bio: Dr. Min Chi is an Assistant Professor in the Department of Computer Science at North Carolina State University. She is a nationally and internationally recognized expert in the field of data-driven pedagogical policy induction for Intelligent Tutoring Systems. Dr. Chi’s research expertise and impact has been recognized through numerous awards including an NSF CAREER Award, a prestigious Alcoa Foundation Engineering Research Achievement Award, five Best Paper, Best Student Paper, and Outstanding Paper Awards. Her international visibility is manifested via a prestigious Executive Committee membership in the International Artificial Intelligence in Education Society since 2017 and the Program Co-Chair for the 9th International Conference on Educational Data Mining in 2016.

Talk Title: The Past, the Present and the Future of Intelligent Tutoring Systems

Abstract: Technologies to support learning and education, such as Intelligent Tutoring Systems, have achieved great success. Today, Intelligent Tutoring Systems are in widespread use in grade-middle-high schools and colleges and are enhancing the student learning experience. In recent years, a range of types of interactive educational technologies have also become prominent and widely used, including homework support and tutoring systems, science simulations and virtual labs, educational games, on-line resources, massively open online courses, and highly interactive web-based courses. Some have experimentally established learning benefits. These systems are increasingly being instrumented to collect vast amounts of "Big Data" and more and more of it is freely available. Such data can be used to help advance our understanding of student learning and create better, more intelligent, interactive, engaging, and effective education. The creation of intelligent learning technologies from data has significant potential to transform the traditional educational system by providing a low-cost way to adapt learning environments to individual students’ needs and by informing advanced research on human learning. This research creates the technology for a new generation of data-driven Intelligent Tutoring Systems, enabling the rapid creation of individualized instruction that supports learning in science, technology, engineering, and mathematics (STEM). The net result of this work is a modular framework of educational data mining methods that offer student adaptive, individualized support at multiple granularities, that have been implemented, iteratively refined, and empirically validated for learning impact and robustness across systems and three STEM domains including logic, probability, and programming, where building traditional Intelligent Tutoring Systems is extremely challenging.

谢东:

IBM全球副总裁、IBM中国系统开发中心总经理 Title:IBM助力“智能+”时代教育