Related Work

  • G. Adorni, C. Alzetta, F. Koceva, S. Passalacqua, and I. Torre. Towards the identification of propaedeutic relations in textbooks. In International Conference on Artificial Intelligence in Education (AIED). Springer, 2019.

  • R. Agrawal, B. Golshan, and E. Papalexakis. Toward data-driven design of educational courses: A feasibility study. Journal of Educational Data Mining, 8(1):1–21, 2016.

  • C. Alzetta, A. Miaschi, G. Adorni, F. Dell’Orletta, F. Koceva, S. Passalacqua, and I. Torre. Prerequisite or not prerequisite? that’s the problem! An NLP-based approach for concept prerequisites learning. In 6th Italian Conference on Computational Linguistics, CLiC-it 2019,volume 2481. CEUR-WS, 2019.

  • A. Fabbri, I. Li, P. Trairatvorakul, Y. He, W. Ting, R. Tung, C. Westerfield, and D. Radev. TutorialBank: A manually-collected corpus for prerequisite chains, survey extraction and resource recommendation. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia,July 2018. Association for Computational Linguistics.

  • F. Gasparetti, C. De Medio, C. Limongelli, F. Sciarrone, and M. Temperini. Prerequisites between learning objects: Automatic extraction based on a machine learning approach. Telematics and Informatics, 35(3):595–610, 2018.

  • J. Gordon, S. Aguilar, E. Sheng, and G. Burns. Structured generation of technical reading lists. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, pages 261–270, 2017.

  • C. Liang, Z. Wu, W. Huang, and C. L. Giles. Measuring prerequisite relations among concepts. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1668–1674, 2015.

  • C. Liang, J. Ye, S. Wang, B. Pursel, and C. L. Giles. Investigating active learning for concept prerequisite learning. In Thirty-Second AAAI Conference on Artificial Intelligence, 2018.

  • W. Lu, P. Ma, J. Yu, Y. Zhou, and B. Wei. Metro maps for efficient knowledge learning by summarizing massive electronic textbooks. International Journal on Document Analysis and Recognition (IJDAR), pages 1–13, 2019.

  • A. Miaschi, C. Alzetta, F. A. Cardillo, and F. Dell’Orletta. Linguistically-driven strategy for concept prerequisites learning on italian. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 285–295, 2019.

  • P. P. Talukdar and W. W. Cohen. Crowdsourced comprehension: predicting prerequisite structure in wikipedia. In Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, pages 307–315. Association for Computational Linguistics, 2012.

  • S. Wang and L. Liu. Prerequisite concept maps extraction for automatic assessment. In Proceedings of the 25th International Conference Companion on World Wide Web, pages 519–521. International World Wide Web Conferences Steering Committee, 2016.

  • Y. Zhou and K. Xiao. Extracting prerequisite relations among concepts in wikipedia. In 2019 International Joint Conference on Neural Networks (IJCNN), pages 1–8. IEEE, 2019.