mlsanityData to 14 Oct 2026

Deep Learning for Educational Data Science

arXiv 2404.19675 ↗First posted 12 Apr 2024cs.CY cs.AI cs.LGcited by 1

Not on the map. Why?

Abstract (arXiv)

With the ever-growing presence of deep artificial neural networks in every facet of modern life, a growing body of researchers in educational data science -- a field consisting of various interrelated research communities -- have turned their attention to leveraging these powerful algorithms within the domain of education. Use cases range from advanced knowledge tracing models that can leverage open-ended student essays or snippets of code to automatic affect and behavior detectors that can identify when a student is frustrated or aimlessly trying to solve problems unproductively -- and much more. This chapter provides a brief introduction to deep learning, describes some of its advantages and limitations, presents a survey of its many uses in education, and discusses how it may further come to shape the field of educational data science.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 38 of its 151 references that are in the map. First posted on arXiv 12 Apr 2024.

Builds on

38 of 151 references.

References · 38

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  4. 2021Zero-Shot Text-to-Image Generationcited by 4,288
  5. 2017Towards A Rigorous Science of Interpretable Machine Learningcited by 1,416
  6. 2019A Comprehensive Survey on Transfer Learningcited by 1,160
  7. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,064
  8. 2016Time Series Classification from Scratch with Deep Neural Networks: A Strong Baselinecited by 360
  9. 2015Deep Knowledge Tracingcited by 332
  10. 2018code2vec: Learning Distributed Representations of Codecited by 250
  11. 2020Context-Aware Attentive Knowledge Tracingcited by 174
  12. 2019A Self-Attentive model for Knowledge Tracingcited by 172
26 more
  1. 2016Dynamic Key-Value Memory Networks for Knowledge Tracingcited by 171
  2. 2019EKT: Exercise-aware Knowledge Tracing for Student Performance Predictioncited by 109
  3. 2020Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracingcited by 81
  4. 2022Knowledge Tracing: A Surveycited by 77
  5. 2020RKT : Relation-Aware Self-Attention for Knowledge Tracingcited by 62
  6. 2019Knowledge Tracing with Sequential Key-Value Memory Networkscited by 60
  7. 2020SAINT+: Integrating Temporal Features for EdNet Correctness Predictioncited by 57
  8. 2020Algorithmic Fairness in Educationcited by 44
  9. 2019Survey on Deep Neural Networks in Speech and Vision Systemscited by 37
  10. 2020Improving Knowledge Tracing via Pre-training Question Embeddingscited by 36
  11. 2017SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoringcited by 22
  12. 2018Goal-based Course Recommendationcited by 17
  13. 2022Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCscited by 17
  14. 2022Code-DKT: A Code-based Knowledge Tracing Model for Programming Taskscited by 16
  15. 2023The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanationscited by 12
  16. 2018GritNet: Student Performance Prediction with Deep Learningcited by 9
  17. 2021Toward Semi-Automatic Misconception Discovery Using Code Embeddingscited by 8
  18. 2021Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicabilitycited by 6
  19. 2017Delving Deeper into MOOC Student Dropout Predictioncited by 5
  20. 2019Academic Performance Estimation with Attention-based Graph Convolutional Networkscited by 3
  21. 2021Student Performance Prediction Using Dynamic Neural Modelscited by 3
  22. 2018Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Predictioncited by 2
  23. 2020Detecting Problem Statements in Peer Assessmentscited by 2
  24. 2019Lecturer Performance System Using Neural Network with Particle Swarm Optimizationcited by 1
  25. 2020Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modelingcited by 1
  26. 2021Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Rolescited by 1

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025A constraints-based approach to fully interpretable neural networks for detecting learner behaviorscited by 0