Leveraging transferable knowledge concept graph embedding for cold-start cognitive diagnosis

W Gao, H Wang, Q Liu, F Wang, X Lin, L Yue… - Proceedings of the 46th …, 2023 - dl.acm.org
Cognitive diagnosis (CD) aims to reveal the proficiency of students on specific knowledge
concepts and traits of test exercises (eg, difficulty). It plays a critical role in intelligent …

A comprehensive survey on deep learning techniques in educational data mining

Y Lin, H Chen, W Xia, F Lin, Z Wang, Y Liu - arXiv preprint arXiv …, 2023 - arxiv.org
Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses
the power of computational techniques to analyze educational data. With the increasing …

A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations

S Wu, Y Cao, J Cui, R Li, H Qian, B Jiang… - arXiv preprint arXiv …, 2024 - arxiv.org
With the development of artificial intelligence, personalized learning has attracted much
attention as an integral part of intelligent education. China, the United States, the European …

A deep cross-modal neural cognitive diagnosis framework for modeling student performance

L Song, M He, X Shang, C Yang, J Liu, M Yu… - Expert Systems with …, 2023 - Elsevier
In intelligent education systems, one fundamental task is to predict student performance on
new exercises and estimate the knowledge proficiency of students on knowledge concepts …

A survey of models for cognitive diagnosis: New developments and future directions

F Wang, W Gao, Q Liu, J Li, G Zhao, Z Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Cognitive diagnosis has been developed for decades as an effective measurement tool to
evaluate human cognitive status such as ability level and knowledge mastery. It has been …

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects

Z Xiong, H Li, Z Liu, Z Chen, H Zhou, W Rong… - arXiv preprint arXiv …, 2024 - arxiv.org
Personalized education, tailored to individual student needs, leverages educational
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …

Adard: An adaptive response denoising framework for robust learner modeling

F Yao, Q Liu, L Yue, W Gao, J Li, X Li… - Proceedings of the 30th …, 2024 - dl.acm.org
Learner modeling is a crucial task in online learning environments, where Cognitive
Diagnosis Models (CDMs) are employed to assess learners' knowledge mastery levels …

Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems

S Liu, J Shen, H Qian, A Zhou - Proceedings of the ACM on Web …, 2024 - dl.acm.org
Cognitive diagnosis aims to gauge students' mastery levels based on their response logs.
Serving as a pivotal module in web-based online intelligent education systems (WOIESs), it …

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives

W Gao, Q Liu, H Wang, L Yue, H Bi, Y Gu… - Proceedings of the …, 2024 - ojs.aaai.org
Cognitive diagnosis seeks to estimate the cognitive states of students by exploring their
logged practice quiz data. It plays a pivotal role in personalized learning guidance within …

Type diversity maximization aware coursewares crowdcollection with limited budget in MOOCs

L Guo, Y Jin, G Liu, F Hao, M Ren, V Loia - Information Sciences, 2023 - Elsevier
Massive open online courses (MOOCs) require coursewares with different types of course
resources recommended to learners based on their learning situations to meet personalized …