most citedEKT: Exercise-aware Knowledge Tracing for Student Performance Prediction

52 citations · 116 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI20212 cited

Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing

Haoyang Bi, Haiping Ma, Zhenya Huang +5

Computerized Adaptive Testing (CAT) is emerging as a promising testing application in many scenarios, such as education, game and recruitment, which targets at diagnosing the knowl…

cs.LG2019

Neural Cognitive Diagnosis for Intelligent Education Systems

Fei Wang, Qi Liu, Enhong Chen +5

Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts. Existing approaches us…

cs.CY201952 cited

EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction

Qi Liu, Zhenya Huang, Yu Yin +4

For offering proactive services to students in intelligent education, one of the fundamental tasks is predicting their performance (e.g., scores) on future exercises, where it is n…

cs.LG201926 cited

Transcribing Content from Structural Images with Spotlight Mechanism

Yu Yin, Zhenya Huang, Enhong Chen +4

Transcribing content from structural images, e.g., writing notes from music scores, is a challenging task as not only the content objects should be recognized, but the internal str…

cs.LG201936 cited

QuesNet: A Unified Representation for Heterogeneous Test Questions

Yu Yin, Qi Liu, Zhenya Huang +4

Understanding learning materials (e.g. test questions) is a crucial issue in online learning systems, which can promote many applications in education domain. Unfortunately, many s…