---
title: "Who cites Deep knowledge tracing — 58 papers of our library"
description: "58 papers of the Elamur Research library cite «Deep knowledge tracing», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/piech-2015-deep-knowledge-tracing/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Deep knowledge tracing](https://md.research.elamur.ai/free/en/papers/piech-2015-deep-knowledge-tracing/) / cited by

# Who cites «Deep knowledge tracing»

58 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Deep knowledge tracing»](https://md.research.elamur.ai/free/en/papers/piech-2015-deep-knowledge-tracing/)

1. **[Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM](https://md.research.elamur.ai/free/en/papers/habernal-2016-which-argument-is-more-convincing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ivan Habernal, Iryna Gurevych*2016 · 303 citations*
2. **[Behavior-Aware Item Modeling via Dynamic Procedural Solution Representations for Knowledge Tracing](https://md.research.elamur.ai/free/en/papers/seo-2026-behavior-aware-item-modeling-dynamic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jun Seo, Sangwon Ryu, Heejin Do, et al.*2026 · 2 citations*
3. **[SHAPE: Unifying Safety, Helpfulness and Pedagogy for Educational LLMs](https://md.research.elamur.ai/free/en/papers/zhao-2026-shape-unifying-safety-helpfulness-pedagogy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sihang Zhao, Kangrui Yu, Youliang Yuan, et al.*2026 · 2 citations*
4. **[LLM-KT: Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play Alignment](https://md.research.elamur.ai/free/en/papers/wang-2026-llm-kt-enhancing-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziwei Wang, Jie Zhou, Qin Chen, et al.*2026 · 1 citation*
5. **[Measuring Optimal Challenge: Trajectory-Based Difficulty Alignment in Open-Ended Language Tutoring](https://md.research.elamur.ai/free/en/papers/shu-2026-measuring-optimal-challenge-trajectory-based/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Ziqi Shu, Shuman Wang, Michael Hardy*2026*
6. **[Tracing Mathematical Proficiency Through Problem-Solving Processes](https://md.research.elamur.ai/free/en/papers/park-2026-tracing-mathematical-proficiency-through-problem/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jungyang Park, Suho Kang, Jaewoo Park, et al.*2026*
7. **[Review and Performance Comparison of Deep Knowledge Tracing Models (深度知识追踪模型综述和性能比较)](https://md.research.elamur.ai/free/en/papers/wang-2022-performance-comparison-deep/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yu Wang (王宇), Mengxia Zhu (朱梦霞), Shanghui Yang (杨尚辉), et al.*2022*

51 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/piech-2015-deep-knowledge-tracing/) — Deep knowledge tracing