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Recent advances in large language models (LLMs) have led to the development of artificial intelligence (AI)-powered tutoring chatbots, showing promise in providing broad access to high-quality personalized education.
Learning and stability: a psychophysiological analysis of a case of motor learning with clinical applications
George S Snoddy · 1926
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Knowledge tracing: Modeling the acquisition of procedural knowledge
Albert Corbett and John Anderson · 1994
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Tools for authoring tutorial dialogue knowledge
Pamela Jordan, Carolyn Penstein Rosé, and Kurt VanLehn · 2001
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The architecture of why2-atlas: A coach for qualitative physics essay writing
Kurt VanLehn, Pamela W Jordan, Carolyn P Rosé, Dumisizwe Bhembe, Michael Böttner, Andy Gaydos, Maxim Makatchev, Umarani Pappuswamy, Michael Ringenberg, Antonio Roque, et al · 2002
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Why are algebra word problems difficult? using tutorial log files and the power law of learning to select the best fitting cognitive model
Ethan A Croteau, Neil T Heffernan, and Kenneth R Koedinger · 2004
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The q-matrix method: Mining student response data for knowledge
Tiffany Barnes · 2005
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Combining bayesian networks and formal reasoning for semantic classification of student utterances
Maxim Makatchev and Kurt VanLehn · 2007
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Performance factors analysis–A new alternative to knowledge tracing
Philip Pavlik Jr, Hao Cen, and Kenneth Koedinger · 2009
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Example of the glicko-2 system
Mark E Glickman · 2012
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Autotutor and family: A review of 17 years of natural language tutoring
Benjamin D Nye, Arthur C Graesser, and Xiangen Hu · 2014
Earlier work this paper cites.
Deep knowledge tracing
Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J Guibas, and Jascha Sohl-Dickstein · 2015
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Faster teaching via pomdp planning
Anna N Rafferty, Emma Brunskill, Thomas L Griffiths, and Patrick Shafto · 2016
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Fast Krippendorff: Fast computation of Krippendorff’s alpha agreement measure
Santiago Castro · 2017
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Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques
Radek Pelánek · 2017
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Dynamic key-value memory networks for knowledge tracing
Jiani Zhang, Xingjian Shi, Irwin King, and Dit-Yan Yeung · 2017
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Impact of corpus size and dimensionality of lsa spaces from wikipedia articles on autotutor answer evaluation
Zhiqiang Cai, Arthur C Graesser, Leah Windsor, Qinyu Cheng, David W Shaffer, and Xiangen Hu · 2018
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Dialogue-based tutoring at scale: Design and challenges
Maria Chang, Matthew Ventura, Jae-wook Ahn, Peter Foltz, Tengfei Ma, Tejas I Dhamecha, Smit Marvaniya, Patrick Watson, Cassius D’helon, Amy Wetzel, et al · 2018
Earlier work this paper cites.
DAS3H: Modeling student learning and forgetting for pptimally scheduling distributed practice of skills
Benoît Choffin, Fabrice Popineau, Yolaine Bourda, and Jill-Jênn Vie · 2019
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Ekt: Exercise-aware knowledge tracing for student performance prediction
Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, and Guoping Hu · 2019
Earlier work this paper cites.
A self attentive model for knowledge tracing
Shalini Pandey and George Karypis · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 2019
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Towards an appropriate query, key, and value computation for knowledge tracing
Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Byungsoo Kim, Yeongmin Cha, Dongmin Shin, Chan Bae, and Jaewe Heo · 2020
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Context-aware attentive knowledge tracing
Aritra Ghosh, Neil Heffernan, and Andrew S Lan · 2020
Cited alongside, same era.
The impressive effects of tutoring on prek-12 learning: A systematic review and meta-analysis of the experimental evidence
Andre Nickow, Philip Oreopoulos, and Vincent Quan · 2020
Cited alongside, same era.
Transformers: State-of-the-art natural language processing
Wolf, Thomas and Others · 2020
Cited alongside, same era.
Gikt: A graph-based interaction model for knowledge tracing
Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, and Yong Yu · 2020
Cited alongside, same era.
pybkt: An accessible python library of bayesian knowledge tracing models
Anirudhan Badrinath, Frederic Wang, and Zachary Pardos · 2021
Cited alongside, same era.
Measuring conversational uptake: A case study on student-teacher interactions
Comparing different approaches to generating mathematics explanations using large language models
Prihar, Ethan and Others · 2023
Later among the works it cites.
Kc-finder: Automated knowledge component discovery for programming problems
Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, and Thomas Price · 2023
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Aligning tutor discourse supporting rigorous thinking with tutee content mastery for predicting math achievement
Mark Abdelshiheed, Jennifer K. Jacobs, and Sidney K. D’Mello · 2024
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Livehint overview
Carnegie Learning · 2024
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Mathematics standards
Common Core State Standards Initiative · 2024
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DiVERT: Distractor generation with variational errors represented as text for math multiple-choice questions
Nigel Fernandez, Alexander Scarlatos, Wanyong Feng, Simon Woodhead, and Andrew Lan · 2024
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Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, and Tatsunori B Hashimoto · 2021
Cited alongside, same era.
Quizzing policy using reinforcement learning for inferring the student knowledge state
Joy He-Yueya and Adish Singla · 2021
Cited alongside, same era.
Challenges to applying performance factor analysis to existing learning systems
Cristina Maier, Ryan Baker, and Steve Stalzer · 2021
Cited alongside, same era.
Classifying math knowledge components via task-adaptive pre-trained bert
Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Sean McGrew, and Dongwon Lee · 2021
Cited alongside, same era.
Saint+: Integrating temporal features for ednet correctness prediction
Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, and Youngduck Choi · 2021
Cited alongside, same era.
Question generation for adaptive education
Megha Srivastava and Noah Goodman · 2021
Cited alongside, same era.
LoRA: Low-rank adaptation of large language models
Edward J Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2022
Cited alongside, same era.
Closest in time.
How generative ai expands curiosity and understanding with learnlm
Google · 2024
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The llama 3 herd of models, 2024
Aaron Grattafiori and Others · 2024
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Clst: Cold-start mitigation in knowledge tracing by aligning a generative language model as a students’ knowledge tracer, 2024
Heeseok Jung, Jaesang Yoo, Yohaan Yoon, and Yeonju Jang · 2024
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Simulated learners in educational technology: A systematic literature review and a turing-like test
Tanja Käser and Giora Alexandron · 2024
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Language model can do knowledge tracing: Simple but effective method to integrate language model and knowledge tracing task, 2024
Unggi Lee, Jiyeong Bae, Dohee Kim, Sookbun Lee, Jaekwon Park, Taekyung Ahn, Gunho Lee, Damji Stratton, and Hyeoncheol Kim · 2024
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Knowledge tagging system on math questions via llms with flexible demonstration retriever, 2024
Hang Li, Tianlong Xu, Jiliang Tang, and Qingsong Wen · 2024
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Explainable few-shot knowledge tracing
Haoxuan Li, Jifan Yu, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Juanzi Li, and Zhang Xiong · 2024
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MathFish: Evaluating language model math reasoning via grounding in educational curricula
Li Lucy, Tal August, Rose E Wang, Luca Soldaini, Courtney Allison, and Kyle Lo · 2024
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How to teach programming in the ai era? using llms as a teachable agent for debugging
Qianou Ma, Hua Shen, Kenneth Koedinger, and Sherry Tongshuang Wu · 2024
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Llm based math tutoring: Challenges and dataset, Jul 2024
Pepper Miller and Kristen DiCerbo · 2024
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Hello gpt-4o
OpenAI · 2024
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Improving the validity of automatically generated feedback via reinforcement learning
Alexander Scarlatos, Digory Smith, Simon Woodhead, and Andrew Lan · 2024
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Bridging the novice-expert gap via models of decision-making: A case study on remediating math mistakes
Rose Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, and Dorottya Demszky · 2024
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Content knowledge identification with multi-agent large language models (llms)
Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, and Hui Liu · 2024
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Knowledge tracing as language processing: A large-scale autoregressive paradigm
Bojun Zhan, Teng Guo, Xueyi Li, Mingliang Hou, Qianru Liang, Boyu Gao, Weiqi Luo, and Zitao Liu · 2024
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