Assessing learning in the era of AI

Abstract: Typical assessments of learning are through written assignments or through final written or oral examinations. The rise of AI, in particular generative AI, has changed the way people search for information and the way that people learn. Hence, the method of assessment should also reflect this change. In this talk, I will share potential areas that we can leverage AI to assess learning.

Short Bio:
Cheryl is currently a senior scientist at Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR) and a core member of the AI4EDU programme in A*STAR. Cheryl obtained her PhD from Nanyang Technological University, Singapore (NTU), studying various optimization algorithms and its application in airspace management. Cheryl has been developing artificial intelligence (AI) solutions over various domains and adapting these models over time with new incoming data. In the past 3 years, Cheryl has been investigating how artificial intelligence (AI) can be applied in the education domain. Her current research interests mainly focus on developing or adapting current AI technologies for use in education. This includes adaptation of knowledge tracing models over time, quantifying and measuring student engagement and the impact of AI on education. .

Title of the Talk

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Short Bio:
XXX is a Professor at XX .

Short Bio: Qingsong Wen is the Head of AI Research & Chief Scientist at Squirrel Ai Learning by Yixue Education Inc., working in EdTech area via AI technologies. Before that, he worked at Alibaba, Futurewei, Qualcomm, and Marvell, and received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology, USA. His research interests include machine learning and decision intelligence, especially AI for Time Series (AI4TS) & AI for Education (AI4EDU). He has published around 100 top-ranked AI conference and journal papers, had multiple Oral/Spotlight Papers at NeurIPS/ICLR, had multiple Most Influential Papers at IJCAI, received multiple IAAI Deployed Application Awards at AAAI, and won First Place of SP Grand Challenge at ICASSP. Currently, he serves as Organizer/Co-Chair of Workshop on AI for Time Series (AI4TS @ KDD, ICDM, SDM, AAAI, IJCAI) and Workshop on AI for Education (AI4EDU @ CAI). He also serves as Associate Editor for Neurocomputing, Guest Editor for IEEE Internet of Things Journal, and Guest Editor for Applied Energy. In addition, he has regularly served as Area Chair/(S)PC of the AI conferences including KDD, AAAI, IJCAI, ICDM, ICASSP, etc.

Short Bio: Joleen Liang is the Co-Founder of Squirrel Ai Learning. She is Visiting Professor at the Research Institute for Innovation and Technology in Education (UNIR iTED), the Secretary of the IEEE International K-12 Education Knowledge Graph Standards Working Group, the Vice-Dean of Intelligent Education Committee of China Automation Congress, the Deputy Head of the Technology and Standards Working Group, the Smart Education Working Committee of the Internet Society of China, and the Executive Director of the Artificial Intelligence and Robotics Education Committee of the China Education Development Strategy Society. She received her Ph.D in Intelligent Science and Systems at Macau University of Science and Technology. In 2020, she and Squirrel Ai was honored ‘AI Education Innovation Award’by UNESCO. She is also the founder/director of AI+Adaptive Education International Conference (AIAED) focusing on important trends emerging from AI-tech applied to next-generation education and how these advances can impact adaptive human learning at scale. The 1st-4th AIAED invited more 200 AI and AI education speakers (scientists and companies) internationally, and 10000+audiences, 500+ investors, 1000+ CEOs, 200+ media.

Short Bio: Richard Tong is currently the Chief Architect of Squirrel Ai Learning. Prior that, he was the Principal Architect of Carnegie Learning, the Head of Implementation at Greater China Region for Knewton, and the Director of Solution Architecture for Amplify Education. He also served as the CTO of Phoenix New Media. He serves as the Chair of IEEE Artificial Intelligence Standards Committee. He is an experienced technologist, executive, entrepreneur and one of the leading evangelists for standardization effort for global education technology and AI in education.

Short Bio: Yu LU received the Ph.D. from National University of Singapore in computer engineering. He is currently an Associate Professor with the School of Educational Technology, Faculty of Education, Beijing Normal University (BNU), where he also serves as the director of AI Lab at the advanced innovation center for future education (AICFE). He has published more than 90 academic papers in the prestigious venues, and serves as the associate editor for multiple academic journals, such as IEEE Transactions on Learning Technologies. He also serves as PC member or track chair for multiple international conferences (e.g., AIED, EDM, AAAI, ACL, EMNLP, IJCAI, ICCE, GCCCE). Before joining BNU, he was a research scientist and principle investigator at the Institute for Infocomm Research (I2R), A*STAR, Singapore. His research interests mainly sit at the intersection field of artificial intelligence and education.

Short Bio: Liu Guimei is currently a Principal Scientist and Principal Investigator at Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore. She received her PhD in Computer Science from Hong Kong University of Science and Technology (HKUST). She has published 40+ papers at data mining/AI/Bioinformatics conferences and journals. Her current research interests are mainly on learning analytics and adaptive learning.

Short Bio: Xiangen Hu is a professor in the Department of Psychology, Department of Electrical and Computer Engineering and Computer Science Department at The University of Memphis (UofM) and senior researcher at the Institute for Intelligent Systems (IIS) at the UofM and is professor and Dean of the School of Psychology at Central China Normal University (CCNU). Dr. Hu received his MS in applied mathematics from Huazhong University of Science and Technology, MA in social sciences and Ph.D. in Cognitive Sciences from the University of California, Irvine. Dr. Hu is the Director of Advanced Distributed Learning (ADL) Partnership Laboratory at the UofM, and is a senior researcher in the Chinese Ministry of Education’s Key Laboratory of Adolescent Cyberpsychology and Behavior.

Short Bio: Robby Robson is a researcher, entrepreneur, and standards professional known for creative and disruptive innovation in industry and academia. He is a co-founder of Eduworks Corporation where he was CEO for 20 years and where he currently serves as Chief Science Officer and Board Chair. His focus at Eduworks is on developing transformative tools for competency-based talent management and workforce development. As a volunteer, Robby serves on multiple IEEE boards and committees in the areas of Standards, Open Source, and Educational Activities.