From 17th to 20th November 2018, the IEEE International Conference on Data Mining series (ICDM) 2018 was held in Singapore. ICDM has established itself as the world's premier research conference in data mining and covers all aspects of data mining, including algorithms, software and systems, and applications. Associate Prof. Yu Lu, the Director of the Artificial Intelligence Laboratory at Advanced Innovation Center for Future Education (AICFE), and Dr. Penghe Chen, the Vice Director of the Artificial Intelligence Laboratory attended this conference with the research paper “Prerequisite Driven Knowledge Tracing”, which was accepted as long paper.
Associate Professor Yu Lu (on the right) and Dr. Penghe Chen (on the right) at Poster Session
In the poster session, Dr. Penghe Chen illustrated how prerequisite relations are utilized as constraints to improve the state-of-the-art knowledge tracing models in estimating students’ knowledge states.
In the oral presentation session, Dr. Penghe Chen presented more details about this work, including what problems knowledge tracing tries to solve, issues of current models, how prerequisite relations were utilized to improve existing models, and experimental results compared with baselines.
Dr. Penghe Chen in the Speech
By attending this conference, AICFE researchers learned the latest research work in data mining field and also discussed their research work of education with others.
