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 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 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 …

Disentangling cognitive diagnosis with limited exercise labels

X Chen, L Wu, F Liu, L Chen, K Zhang… - Advances in …, 2024 - proceedings.neurips.cc
Cognitive diagnosis is an important task in intelligence education, which aims at measuring
students' proficiency in specific knowledge concepts. Given a fully labeled exercise-concept …

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 …

Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective

S Liu, X Yu, H Ma, Z Wang, C Qin, X Zhang - Proceedings of the 32nd …, 2023 - dl.acm.org
Cognitive Diagnosis has been widely investigated as a fundamental task in the field of
education, aiming at effectively assessing the students' knowledge proficiency level by …

Rdgt: enhancing group cognitive diagnosis with relation-guided dual-side graph transformer

X Yu, C Qin, D Shen, H Ma, L Zhang… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
Cognitive diagnosis has been widely recognized as a crucial task in the field of
computational education, which is capable of learning the knowledge profiles of students …

PTADisc: a cross-course dataset supporting personalized learning in cold-start scenarios

L Hu, Z Dong, J Chen, G Wang… - Advances in Neural …, 2023 - proceedings.neurips.cc
The focus of our work is on diagnostic tasks in personalized learning, such as cognitive
diagnosis and knowledge tracing. The goal of these tasks is to assess students' latent …

Relicd: a reliable cognitive diagnosis framework with confidence awareness

Y Zhang, C Qin, D Shen, H Ma, L Zhang… - … Conference on Data …, 2023 - ieeexplore.ieee.org
During the past few decades, cognitive diagnostics modeling has attracted increasing
attention in computational education communities, which is capable of quantifying the …

QCCDM: A q-augmented causal cognitive diagnosis model for student learning

S Liu, H Qian, M Li, A Zhou - ECAI 2023, 2023 - ebooks.iospress.nl
Cognitive diagnosis is vital for intelligent education to determine students' knowledge
mastery levels from their response logs. The Q-matrix, representing the relationships …