Semantic Modeling of Programming Practices with Local Knowledge Graphs: The Effects of Question Complexity on Student Performance
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-11647-6_44
Reference3 articles.
1. Alzaid, M., Trivedi, D., Hsiao, I.H.: The effects of bite-size distributed practices for programming novices. In: Proceedings of 2017 IEEE Frontiers in Education Conference (FIE), pp. 1–9. IEEE (2017). https://doi.org/10.1109/FIE.2017.8190593
2. Chung, C.Y., Hsiao, I.H.: Investigating patterns of study persistence on self-assessment platform of programming problem-solving. In: Proceedings of the 51st ACM Technical Symposium on Computer Science Education, pp. 162–168. ACM, New York, February 2020). https://doi.org/10.1145/3328778.3366827. https://dl.acm.org/doi/10.1145/3328778.3366827
3. Fan, A., Gardent, C., Braud, C., Bordes, A.: Using local knowledge graph construction to scale Seq2seq models to multi-document inputs. In: EMNLP-IJCNLP 2019–2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, pp. 4186–4196 (2019). https://doi.org/10.18653/v1/d19-1428
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