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Adaptive learning aims to provide customized educational activities (e.g., exercises) to address individual learning needs.
Ctrl: A conditional transformer language model for controllable generation
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Fine-tuning language models from human preferences
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Knowledge tracing: Modeling the acquisition of procedural knowledge
Albert T Corbett and John R Anderson. 1994 · 1994
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
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Comparing two irt models for conjunctive skills
Hao Cen, Kenneth Koedinger, and Brian Junker. 2008 · 2008
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Automatic gap-fill question generation from text books
Manish Agarwal and Prashanth Mannem. 2011 · 2011
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Learner model’s utilization in the e-learning environments
Vija Vagale and Laila Niedrite. 2012 · 2012
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Individualized bayesian knowledge tracing models
Michael V Yudelson, Kenneth R Koedinger, and Geoffrey J Gordon. 2013 · 2013
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Deep knowledge tracing
Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J Guibas, and Jascha Sohl-Dickstein. 2015 · 2015
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Personalized mathematical word problem generation
Oleksandr Polozov, Eleanor O’Rourke, Adam M Smith, Luke Zettlemoyer, Sumit Gulwani, and Zoran Popović. 2015 · 2015
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Improving performance in trigonometry and pre-calculus by incorporating adaptive learning technology into blended models on campus
Jennifer B Daines, Tonya Troka, and John M Santiago. 2016 · 2016
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A trainable spaced repetition model for language learning
Burr Settles and Brendan Meeder. 2016 · 2016
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Lessons learned from early implementations of adaptive courseware
Louise Yarnall, Barbara Means, and Tallie Wetzel. 2016 · 2016
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Controlling linguistic style aspects in neural language generation
Jessica Ficler and Yoav Goldberg. 2017 · 2017
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Dynamic bayesian networks for student modeling
Tanja Käser, Severin Klingler, Alexander G Schwing, and Markus Gross. 2017 · 2017
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Multilingual call framework for automatic language exercise generation from free text
Naiara Perez and Montse Cuadros. 2017 · 2017
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Controlling item difficulty for automatic vocabulary question generation
Yuni Susanti, Takenobu Tokunaga, Hitoshi Nishikawa, and Hiroyuki Obari. 2017 · 2017
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Making digital learning work: Success strategies from six leading universities and community colleges
Allison Bailey, Nithya Vaduganathan, Tyce Henry, Renee Laverdiere, and Lou Pugliese. 2018 · 2018
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Horizon report 2018 higher education edition brought to you by educause
Samantha Adams Becker, Malcolm Brown, Eden Dahlstrom, Annie Davis, Kristi DePaul, Veronica Diaz, and Jeffrey Pomerantz. 2018 · 2018
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Measuring the difficulty of activities for adaptive learning
Francisco J Gallego-Durán, Rafael Molina-Carmona, and Faraón Llorens-Largo. 2018 · 2018
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Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Data boost: Text data augmentation through reinforcement learning guided conditional generation
Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, and Soroush Vosoughi. 2020 · 2020
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Structure-based knowledge tracing: an influence propagation view
Shiwei Tong, Qi Liu, Wei Huang, Zhenya Hunag, Enhong Chen, Chuanren Liu, Haiping Ma, and Shijin Wang. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2020 · 2020
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Exercise recommendation based on knowledge concept prediction
Zhengyang Wu, Ming Li, Yong Tang, and Qingyu Liang. 2020 · 2020
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Learning to write with cooperative discriminators
Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, and Yejin Choi. 2018 · 2018
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Second language acquisition modeling: An ensemble approach
Anton Osika, Susanna Nilsson, Andrii Sydorchuk, Faruk Sahin, and Anders Huss. 2018 · 2018
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Second language acquisition modeling
Burr Settles, Chris Brust, Erin Gustafson, Masato Hagiwara, and Nitin Madnani. 2018 · 2018
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Addressing two problems in deep knowledge tracing via prediction-consistent regularization
Chun-Kit Yeung and Dit-Yan Yeung. 2018 · 2018
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Knowledge tracing with sequential key-value memory networks
Ghodai Abdelrahman and Qing Wang. 2019 · 2019
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Recommendation acceptance in a simple adaptive learning system
Matthias Holthaus, Tansu Pancar, and Per Bergamin. 2019 · 2019
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Difficulty-controllable multi-hop question generation from knowledge graphs
Vishwajeet Kumar, Yuncheng Hua, Ganesh Ramakrishnan, Guilin Qi, Lianli Gao, and Yuan-Fang Li. 2019 · 2019
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Topic-guided abstractive multi-document summarization
Peng Cui and Le Hu. 2021 · 2021
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Learning process-consistent knowledge tracing
Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, and Shijin Wang. 2021 · 2021
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Saint+: Integrating temporal features for ednet correctness prediction
Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, and Youngduck Choi. 2021 · 2021
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Question generation for adaptive education
Megha Srivastava and Noah Goodman. 2021 · 2021
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Math word problem generation with mathematical consistency and problem context constraints
Zichao Wang, Andrew Lan, and Richard Baraniuk. 2021 · 2021
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FUDGE: Controlled text generation with future discriminators
Kevin Yang and Dan Klein. 2021 · 2021
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Parametrizable exercise generation from authentic texts: Effectively targeting the language means on the curriculum
Tanja Heck and Detmar Meurers. 2022 · 2022
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A design of a simple yet effective exercise recommendation system in k-12 online learning
Shuyan Huang, Qiongqiong Liu, Jiahao Chen, Xiangen Hu, Zitao Liu, and Weiqi Luo. 2022 · 2022
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NeuroLogic a*esque decoding: Constrained text generation with lookahead heuristics
Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, and Yejin Choi. 2022 · 2022
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Equity and fairness of bayesian knowledge tracing
Sebastian Tschiatschek, Maria Knobelsdorf, and Adish Singla. 2022 · 2022
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Educational question generation of children storybooks via question type distribution learning and event-centric summarization
Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, and Xiaojuan Ma. 2022 · 2022
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