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

52 citations · 118 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2021★ 2 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★ 2 cited

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.CY2019★ 52 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.LG2019★ 26 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.LG2019★ 36 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…