The DOI matches its Crossref record.
EdNet: A Large-Scale Hierarchical Dataset in Education
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The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“By contrast, DKT has historically been effective on other datasets, which are both larger and in other domains, such as EdNet [13], Assistments [41] and KhanAcademy [34].”
From Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks (2022) · cites this paper as [13]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“This improvement is comparable to that of other modern KT models over DKT (2-4%) [31, 44]”
From Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks (2022) · cites this paper as [13]
Experimental — accuracy not yet measured
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Percentages, sums and reported differences re-computed from the paper’s own numbers.
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Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 5
- Chang, H.S., Hsu, H.J., Chen, K.T.: Modeling exercise relationships in e-learning: a unified approach. In: EDM, pp. 532–535 (2015)
- Feng, M., Heffernan, N., Koedinger, K.: Addressing the assessment challenge with an online system that tutors as it assesses. User Model. User-Adap. Interact. 19(3), 243–266 (2009) · DOI
- Koedinger, K.R., Baker, R.S., Cunningham, K., Skogsholm, A., Leber, B., Stamper, J.: A data repository for the EDM community: the PSLC DataShop. In: Handbook of Educational Data Mining, vol. 43, pp. 43–56 (2010) · DOI
- Pardos, Z.A., Baker, R.S., San Pedro, M.O., Gowda, S.M., Gowda, S.M.: Affective states and state tests: Investigating how affect and engagement during the school year predict end-of-year learning outcomes. J. Learn. Anal. 1(1), 107–128 (2014) · DOI
- Piech, C., Bassen, J., Huang, J., Ganguli, S., Sahami, M., Guibas, L.J., Sohl-Dickstein, J.: Deep knowledge tracing. In: Advances in Neural Information Processing Systems, pp. 505–513 (2015)
Cited by
Sorted by citations
Bulathwela, S., Pérez-Ortiz, M., Holloway, C., Cukurova, M., & Shawe-Taylor, J. (2024) · Sustainability · doi:10.3390/su16020781 · Cited by 269
van Haastrecht, M., Brinkhuis, M., & Spruit, M. (2024) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-64299-9_5 · Cited by 9
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks
Shi, Y., Chi, M., Barnes, T., & Price, T. (2022) · Zenodo · doi:10.5281/zenodo.6853105 · Cited by 7
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Zhuang, Y., Liu, Q., Bi, H., Huang, Z., Huang, W., Li, J., Yu, J., Liu, Z., Hu, Z., Hong, Y., et al. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3672850 · Cited by 9
“It includes a range of publicly available datasets along with previously private datasets, e.g., ASSIST-ments [183], Junyi [184], EdNet [185], and Eedi2020 [186].”
Metadata
- Authors
- Choi, Y., Lee, Y., Shin, D., Cho, J., Park, S., Lee, S., Baek, J., Bae, C., Kim, B., & Heo, J.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 69-73
- ISSN
- 0302-9743
- 1611-3349
- PMC
- PMC7334672
- Cited by
- 225
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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