Learning behavior-oriented knowledge tracing

B Xu, Z Huang, J Liu, S Shen, Q Liu, E Chen… - Proceedings of the 29th …, 2023 - dl.acm.org
Exploring how learners' knowledge states evolve during the learning activities is a critical
task in online learning systems, which can facilitate personalized services downstream, such …

Charting the design and analytics agenda of learnersourcing systems

H Khosravi, G Demartini, S Sadiq… - LAK21: 11th international …, 2021 - dl.acm.org
Learnersourcing is emerging as a viable learner-centred and pedagogically justified
approach for harnessing the creativity and evaluation power of learners as experts-in …

Research on the mechanism of knowledge diffusion in the MOOC learning forum using ERGMs

B Wu, C Wu - Computers & Education, 2021 - Elsevier
Abstract Purpose The popularity of MOOCs (massive open online courses) has been
increasing rapidly around the world, but there is a lack of research on knowledge diffusion in …

Assessing the performance of online students--new data, new approaches, improved accuracy

R Schmucker, J Wang, S Hu, TM Mitchell - arXiv preprint arXiv:2109.01753, 2021 - arxiv.org
We consider the problem of assessing the changing performance levels of individual
students as they go through online courses. This student performance (SP) modeling …

3DG: a framework for using generative AI for handling sparse learner performance data from intelligent tutoring systems

L Zhang, J Lin, C Borchers, M Cao, X Hu - arXiv preprint arXiv:2402.01746, 2024 - arxiv.org
Learning performance data (eg, quiz scores and attempts) is significant for understanding
learner engagement and knowledge mastery level. However, the learning performance data …

Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments

C Wang, S Sahebi - Proceedings of the 32nd ACM International …, 2023 - dl.acm.org
With the advance of online education systems, accessibility to learning materials has
increased. In these systems, students can practice independently and learn from different …

Open learner models for multi-activity educational systems

S Abdi, H Khosravi, S Sadiq, A Darvishi - International conference on …, 2021 - Springer
In recent years, there has been an increasing trend in the use of student-centred
approaches within educational systems that engage students in various higher-order …

Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing.

C Wang, S Zhao, S Sahebi - International Educational Data Mining Society, 2021 - ERIC
The state of the art knowledge tracing approaches mostly model student knowledge using
their performance in assessed learning resource types, such as quizzes, assignments, and …

Content Modeling in Smart Learning Environments: A systematic literature review

A Jiménez-Macías, PJ Muñoz-Merino… - Journal of Universal …, 2024 - search.proquest.com
Educational content has become a key element for improving the quality and effectiveness
of teaching. Many studies have been conducted on user and knowledge modeling using …

Knowledge tracing for complex problem solving: Granular rank-based tensor factorization

C Wang, S Sahebi, S Zhao, P Brusilovsky… - Proceedings of the 29th …, 2021 - dl.acm.org
Knowledge Tracing (KT), which aims to model student knowledge level and predict their
performance, is one of the most important applications of user modeling. Modern KT …