DBE-KT22: A Knowledge Tracing Dataset Based on Online Student Evaluation
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Abstract (arXiv)
Online education has gained an increasing importance over the last decade for providing affordable high-quality education to students worldwide. This has been further magnified during the global pandemic as more students switched to study online. The majority of online education tasks, e.g., course recommendation, exercise recommendation, or automated evaluation, depends on tracking students' knowledge progress. This is known as the Knowledge Tracing problem in the literature. Addressing this problem requires collecting student evaluation data that can reflect their knowledge evolution over time. In this paper, we propose a new knowledge tracing dataset named Database Exercises for Knowledge Tracing (DBE-KT22) that is collected from an online student exercise system in a course taught at the Australian National University in Australia. We discuss the characteristics of the DBE-KT22 dataset and contrast it with the existing datasets in the knowledge tracing literature. Our dataset is available for public access through the Australian Data Archive platform.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 12 of its 29 references that are in the map. First posted on arXiv 19 Aug 2022.
Builds on
12 of 29 references.
References · 12
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2015Deep Knowledge Tracingcited by 332
- 2020Context-Aware Attentive Knowledge Tracingcited by 174
- 2019A Self-Attentive model for Knowledge Tracingcited by 172
- 2016Dynamic Key-Value Memory Networks for Knowledge Tracingcited by 171
- 2019EdNet: A Large-Scale Hierarchical Dataset in Educationcited by 108
- 2020Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracingcited by 81
- 2022Knowledge Tracing: A Surveycited by 77
- 2020RKT : Relation-Aware Self-Attention for Knowledge Tracingcited by 62
- 2019Knowledge Tracing with Sequential Key-Value Memory Networkscited by 60
- 2020GIKT: A Graph-based Interaction Model for Knowledge Tracingcited by 51
- 2021Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracingcited by 17
Built on by
Citing papers per year: 2024: 2; 2025: 1; 2026: 2.
5 papers.
- 2024Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Taskcited by 21
- 2026A Training-Free Large Reasoning Model-based Knowledge Tracing Framework for Unified Prediction and Prescriptioncited by 3
- 2024From Prediction to Application: Language Model-based Code Knowledge Tracing with Domain Adaptive Pre-Training and Automatic Feedback System with Pedagogical Prompting for Comprehensive Programming Educationcited by 1
- 2025Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmarkcited by 1
- 2026Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?cited by 0
- 2026Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?8 Oct 2026
- 2026A Training-Free Large Reasoning Model-based Knowledge Tracing Framework for Unified Prediction and Prescription5 Jan 2026
- 2025Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark24 May 2025
- 2024From Prediction to Application: Language Model-based Code Knowledge Tracing with Domain Adaptive Pre-Training and Automatic Feedback System with Pedagogical Prompting for Comprehensive Programming Education31 Aug 2024
- 2024Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task5 Jun 2024