In July, the 12th Workshop of Knowledge Management & E-Learning Keynote Seminar Series (Online Workshop) was successfully held. The series of seminars consisted of three sessions, which were held online via Zoom meetings on July 19th, July 25th and July 28th, attracting more than 100 audiences from all over the world. The workshop is jointly organized by the University of Hong Kong and Beijing Normal University.
Session 1 started with a keynote speech by Professor Roger Azevedo from the University of Central Florida on “Artificial Intelligence in Education and Its Impact on Self-Regulated Learning: Challenges and Opportunities”, focusing on the impact of artificial intelligence education system on assessment and detection of self-regulated learning. Then, Professor Jeffrey A. Greene from the University of North Carolina at Chapel Hill presented “How to Break a Prediction Model: Identifying and Supporting Postsecondary STEM Students Before They Fail”. He focused on the use of artificial intelligence prediction models to identify struggling students and helping them acquire the skills needed for self-regulated learning.
Session 1
Session 2 started with Prof. Susanne P. Lajoie from McGill University focusing on "Theory Guided Approaches to uses of Artificial Intelligence in Education". She investigated the situations under which technology works best to facilitate learning and performance by examining the relations between cognition, metacognition and affect. Then, Dr. Danial Hooshyar from Tallinn University, presented the design and development of adaptive educational games to enhance learners' knowledge, skills and motivation in developing computational thinking.
Session 2
In the session 3, Prof. Hao-Chiang Koong Lin from Taiwan University of Tainan first introduced "Affective Tutoring System and Emotional Interaction between Human and Computer", indicating robots and humans must have sufficient emotional interaction to be our social partners. Then, Professor Jiyou Jia from Peking University shared the "A Math Intelligent Assessment and Tutoring System (MIATS) Based on Large-Scale Datamining", which can assess the learner’s math content mastery status by a Computerized Adaptive Test (CAT) mechanism based on Item Response Theory (IRT) and help the learner solve difficult math questions.
Session 3
This event involves theoretical research and practical application of artificial intelligence in self-regulated learning, learning environments, educational games, human-computer interaction, and adaptive learning systems. After the keynote speeches, the audience had a detailed discussion under the organization of Professor Maggie M. Wang and Dr. Lingyun Huang from the University of Hong Kong. The 12th Workshop of Knowledge Management & E-Learning Keynote Seminar Series was held successfully by delivering brilliant speeches by experts and having in-depth discussions with the audience.
