Papers on Concept Prerequisite Learning

Note: papers are selected from AI/NLP/ML conferences in the CS domain.

1. Vuong, Annalies, Tristan Nixon, and Brendon Towle. A method for finding prerequisites within a curriculum. EDM. 2011.

2. Talukdar, Partha Pratim, and William W. Cohen. Crowdsourced comprehension: predicting prerequisite structure in wikipedia. BEA@NAACL-HLT. 2012.

3. Scheines, Richard, Elizabeth Silver, and Ilya Goldin. Discovering prerequisite relationships among knowledge components. EDM. 2014.

4. Liang, Chen, et al. Measuring Prerequisite Relations Among Concepts. EMNLP. 2015.

5. Gordon, Jonathan, et al. Modeling Concept Dependencies in a Scientific Corpus. ACL. 2016.

6. Chaplot, Devendra Singh, et al. Data-driven Automated Induction of Prerequisite Structure Graphs. EDM. 2016.

7. Liu, Hanxiao, et al. Learning concept graphs from online educational data. JAIR. 2016.

8. Chen, Yetian, José P. González-Brenes, and Jin Tian. Joint Discovery of Skill Prerequisite Graphs and Student Models. EDM. 2016.

9. Wang, Shuting, et al. Using prerequisites to extract concept maps from textbooks. CIKM. 2016.

10. Liang, Chen, et al. Recovering Concept Prerequisite Relations from University Course Dependencies. EAAI. 2017. Dataset

11. Pan, Liangming, et al. Prerequisite Relation Learning for Concepts in MOOCs. ACL. 2017.

12. Labutov, Igor, et al. Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites. KDD. 2017.

13. Liang, Chen, et al. Investigating Active Learning for Concept Prerequisite Learning. EAAI. 2018.

14. Fabbri, Alexander R., et al. TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. ACL. 2018.

15. ALSaad, Fareedah, et al. Mining MOOC Lecture Transcripts to Construct Concept Dependency Graphs. EDM. 2018.