The School invited Professor Liu Qi from the University of Science and Technology of China to give an academic lecture

发布者:李茜发布时间:2024-11-11浏览次数:10

On the afternoon of November 8th at 4:30, Professor Gao Yang from the school invited Professor Liu Qi from the University of Science and Technology of China to give an academic lecture titled "Adaptive Testing Method Based on Cognitive Ability Diagnosis".

Abstract: 

Adaptive testing continuously optimizes and adjusts test questions based on the response characteristics of subjects, helping to achieve the transition from traditional testing with one test for a thousand people to personalized testing with one test for a thousand people. The testing process is a cognitive diagnosis process for subjects (such as students, patients, intelligent agents, etc.), which can effectively improve testing efficiency and user experience. It has broad application value in fields such as education, sports, healthcare, and large-scale model evaluation. This report will briefly report on the development history, cutting-edge technologies, and practical cases of multidimensional cognitive diagnosis and adaptive testing for large-scale testing scenarios.

Reported by:

Liu Qi, Professor and Doctoral Supervisor of the National Key Laboratory of Cognitive Intelligence, Vice Dean of the School of Artificial Intelligence and Data Science at the University of Science and Technology of China, Member of the Education Examination Expert Committee of the Ministry of Education, Member of the Academic Committee of the Education Examination Institute of the Ministry of Education, Project Leader of the National Natural Science Foundation of China's Excellent Youth Science Fund, and Outstanding Member of the Youth Promotion Association of the Chinese Academy of Sciences. Mainly researching data analysis and cognitive intelligence (cognitive diagnosis, adaptive learning, etc.), machine learning methods and their applications (intelligent education, smart healthcare, AI4Science, etc.). The related achievements have won the IEEE ICDM 2011 Best Research Paper Award, ACM KDD 2018 Best Student Paper Award, CIKM 2023 Best Paper Candidate Award, etc. My personal paper has been cited more than 15000 times with an H-index of 62. He has also won the Special Award from the President of the Chinese Academy of Sciences, the Excellent PhD from the Chinese Academy of Sciences, the First Prize in Natural Sciences from the Ministry of Education, the Green Orange Award from Alibaba Damo Academy, and the First Prize in Artificial Intelligence Technology Progress Award from Wu Wenjun. Serving as IEEE Transactions on Big Data, NeuroComputing, IEEE Transactions on Learning Technologies, editorial board member or young editorial board member of journals such as Chinese Science: Information Science and Frontiers of Computer Science.