mlsanityData to 7 Oct 2026

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

arXiv 2402.17236 ↗First posted 27 Feb 2024cs.CY cs.LGcited by 4

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Abstract (arXiv)

Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness. The integration of AI in educational platforms provides insights into academic performance, learning preferences, and behaviors, optimizing the personal learning process. Driven by data mining techniques, it not only benefits students but also provides educators and institutions with tools to craft customized learning experiences. To offer a comprehensive review of recent advancements in personalized educational data mining, this paper focuses on four primary scenarios: educational recommendation, cognitive diagnosis, knowledge tracing, and learning analysis. This paper presents a structured taxonomy for each area, compiles commonly used datasets, and identifies future research directions, emphasizing the role of data mining in enhancing personalized education and paving the way for future exploration and innovation.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 31 of its 156 references that are in the map. First posted on arXiv 27 Feb 2024.

Builds on

31 of 156 references.

References · 31

  1. 2017What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?cited by 2,335
  2. 2020A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challengescited by 813
  3. 2020Context-Aware Attentive Knowledge Tracingcited by 172
  4. 2016Dynamic Key-Value Memory Networks for Knowledge Tracingcited by 170
  5. 2019A Self-Attentive model for Knowledge Tracingcited by 169
  6. 2019EKT: Exercise-aware Knowledge Tracing for Student Performance Predictioncited by 109
  7. 2019EdNet: A Large-Scale Hierarchical Dataset in Educationcited by 106
  8. 2023EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Educationcited by 80
  9. 2020Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracingcited by 79
  10. 2022Knowledge Tracing: A Surveycited by 76
  11. 2019Neural Cognitive Diagnosis for Intelligent Education Systemscited by 75
  12. 2020RKT : Relation-Aware Self-Attention for Knowledge Tracingcited by 62
19 more
  1. 2019Knowledge Tracing with Sequential Key-Value Memory Networkscited by 60
  2. 2020SAINT+: Integrating Temporal Features for EdNet Correctness Predictioncited by 57
  3. 2020GIKT: A Graph-based Interaction Model for Knowledge Tracingcited by 51
  4. 2018Knowledge Tracing Machines: Factorization Machines for Knowledge Tracingcited by 42
  5. 2019Exploiting Cognitive Structure for Adaptive Learningcited by 36
  6. 2020Improving Knowledge Tracing via Pre-training Question Embeddingscited by 36
  7. 2023Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representationscited by 32
  8. 2020Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous Viewcited by 30
  9. 2022Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracingcited by 23
  10. 2019TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resourcescited by 18
  11. 2018Goal-based Course Recommendationcited by 17
  12. 2021Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challengecited by 17
  13. 2021Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracingcited by 17
  14. 2023MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCscited by 11
  15. 2021Learning Data Teaching Strategies Via Knowledge Tracingcited by 6
  16. 2023Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Searchcited by 2
  17. 2023A Comprehensive Survey on Deep Learning Techniques in Educational Data Miningcited by 2
  18. 2017Predicting Abandonment in Online Coding Tutorialscited by 1
  19. 2018Using Detailed Access Trajectories for Learning Behavior Analysiscited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.

  1. 2025Which Type of Students can LLMs Act? Investigating Authentic Simulation with Graph-based Human-AI Collaborative Systemcited by 9
  2. 2024Explainable Few-shot Knowledge Tracingcited by 8
  3. 2025From Recall to Reasoning: Automated Question Generation for Deeper Math Learning through Large Language Modelscited by 3
  4. 2026Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICEcited by 0