MixerKT: A Knowledge Tracing Model Based on Pure MLP Architecture
Source abstract
Abstract
In the field of intelligent education, the integration of artificial intelligence, especially deep learning technologies, has garnered significant attention. Knowledge tracing (KT) plays a pivotal role in this field by predic... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Semantic Web and Ontologies · Service-Oriented Architecture and Web Services · Data Mining Algorithms and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (24)
Show source-provided references
1. Knowledge tracing: A survey10.1145/3569576 ↗
2. Osika · Proc. Thirteenth Workshop Innov. Use NLP Build. Educ. Appl. · Jun. 2018 · 21710.18653/v1/W18-0525 ↗
3. Attention is all you need
4. MLP-Mixer: An all-MLP architecture for vision
5. M. Li et al., “MLP4Rec: A pure MLP architecture for sequential recommendations,” presented at National Joint Conf. Artif. Intell. (IJCAI 2022), Messe Wien, Vienna, Austria, Jul. 23–29, 2022.10.24963/ijcai.2022/297 ↗
6. F. Mai et al., “Hypermixer: An MLP-based low cost alternative to transformers,” 2022, arXiv:2203.03691.
7. C. Piech et al., “Deep knowledge tracing,” presented at NIPS’15: Proc. 28th Int. Conf. Neural Inf. Process. Syst., Montreal, QC, Canada, Dec. 7–12, 2015.
8. Addressing two problems in deep knowledge tracing via prediction-consistent regularization
9. Augmenting knowledge tracing by considering forgetting behavior
10. Enhancing deep knowledge tracing with auxiliary tasks
11. Learning process-consistent knowledge tracing
12. J. Chen, Z. Liu, S. Huang, Q. Liu, and W. Luo, “Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations,” Mar. 16, 2023, arXiv:2302.06885.10.1609/aaai.v37i12.26661 ↗
13. S. Pandey and G. Karypis, “A self-attentive model for knowledge tracing,” Jul. 01, 2019, arXiv:1907.06837.
14. Towards an appropriate query, key, and value computation for knowledge tracing
15. Context-aware attentive knowledge tracing
16. Graph-based knowledge tracing: Modeling student proficiency using graph neural network
17. Bi-CLKT: Bi-graph contrastive learning based knowledge tracing10.1016/j.knosys.2022.108274 ↗
18. Contrastive learning for knowledge tracing
19. AutoMLP: Automated MLP for sequential recommendations
20. Going deeper with deep knowledge tracing
21. J. Stamper, A. Niculescu-Mizil, S. Ritter, G. J. Gordon, K. R. Koedinger and I. Algebra, “Algebra I 2005–2006,” 2010. Accessed: Jun. 1, 2012. [Online]. Available: http://pslcdatashop.web.cmu.edu/KDDCup/downloads.jsp
22. Liu · Adv. Neural Inf. Process. Syst. 35 (NeurIPS 2022) · Nov. 28–Dec. 9, 2022
23. Knowledge query network for knowledge tracing: How knowledge interacts with skills
24. X. Guo, Z. Huang, J. Gao, M. Shang, M. Shu and J. Sun, “Enhancing knowledge tracing via adversarial training,” Aug. 09, 2021, arXiv:2108.04430.10.1145/3474085.3475554 ↗