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Student simulation supports educators to improve teaching by interacting with virtual students.
Microsaccades uncover the orientation of covert attention
Ralf Engbert and Reinhold Kliegl. 2003 · 2003
Earlier work this paper cites.
Intelligent tutoring systems
Arthur C Graesser, Mark W Conley, and Andrew Olney. 2012 · 2012
Earlier work this paper cites.
Individualized bayesian knowledge tracing models. In Artificial Intelligence in Education: 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings 16 . Springer, 171–180
Michael V Yudelson, Kenneth R Koedinger, and Geoffrey J Gordon. 2013 · 2013
Earlier work this paper cites.
Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015 · 2015
Earlier work this paper cites.
The effectiveness of online learning: Beyond no significant difference and future horizons
Tuan Nguyen. 2015 · 2015
Earlier work this paper cites.
Chris Piech, Jonathan Spencer, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas Guibas, and Jascha Sohl-Dickstein. 2015 · 2015
Earlier work this paper cites.
Dynamic Key-Value Memory Networks for Knowledge Tracing
Jiani Zhang, Xingjian Shi, Irwin King, and Dit-Yan Yeung. 2017 · 2017
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Earlier work this paper cites.
Studying human behavior: How scientists investigate aggression and sexuality
Helen E Longino. 2019 · 2019
Earlier work this paper cites.
Graph-based knowledge tracing: modeling student proficiency using graph neural network. In IEEE/WIC/ACM International Conference on Web Intelligence . 156–163
Hiromi Nakagawa, Yusuke Iwasawa, and Yutaka Matsuo. 2019 · 2019
Earlier work this paper cites.
Effects of social-interactive engagement on the dropout ratio in online learning: insights from MOOC
Wei Wang, Lihuan Guo, Ling He, and Yenchun Jim Wu. 2019 · 2019
Earlier work this paper cites.
Dropout prediction in MOOCs: Using deep learning for personalized intervention
Wanli Xing and Dongping Du. 2019 · 2019
Earlier work this paper cites.
Ednet: A large-scale hierarchical dataset in education. In Artificial Intelligence in Education: 21st International Conference, AIED 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part II 21 . Springer, 69–73
Youngduck Choi, Youngnam Lee, Dongmin Shin, Junghyun Cho, Seoyon Park, Seewoo Lee, Jineon Baek, Chan Bae, Byungsoo Kim, and Jaewe Heo. 2020 · 2020
Earlier work this paper cites.
Context-Aware Attentive Knowledge Tracing. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Virtual Event, CA, USA) (KDD ’20) . Association for Computing Machinery, New York, NY, USA, 2330–2339
Aritra Ghosh, Neil Heffernan, and Andrew S. Lan. 2020 · 2020
Earlier work this paper cites.
Junyi Academy Online Learning Activity Dataset: A large-scale public online learning activity dataset from elementary to senior high school students
Chen Pojen, Hsieh Mingen, and Tsai Tzuyang. 2020 · 2020
Earlier work this paper cites.
Enhancing Knowledge Tracing via Adversarial Training. In Proceedings of the 29th ACM International Conference on Multimedia (Virtual Event, China) (MM ’21) . Association for Computing Machinery, New York, NY, USA, 367–375
Xiaopeng Guo, Zhijie Huang, Jie Gao, Mingyu Shang, Maojing Shu, and Jun Sun. 2021 · 2021
Earlier work this paper cites.
A systematic review of educator interventions in facilitating simulation based learning
Frances Scholtz and Suzaan Hughes. 2021 · 2021
Earlier work this paper cites.
A review on language models as knowledge bases
Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, Mona Diab, and Marjan Ghazvininejad. 2022 · 2022
Earlier work this paper cites.
A survey on in-context learning
Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, and Zhifang Sui. 2022 · 2022
Earlier work this paper cites.
GPT-based Open-ended Knowledge Tracing
Naiming Liu, Zichao Wang, Richard G Baraniuk, and Andrew Lan. 2022b · 2022
Earlier work this paper cites.
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models. In Advances in Neural Information Processing Systems , S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, and A. Oh (Eds.), Vol. 35. Curran Associates, Inc., 18542–18555
Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, and Weiqi Luo. 2022a · 2022
Earlier work this paper cites.
Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts. In Proceedings of the 2022 CHI conference on human factors in computing systems . 1–22
Tongshuang Wu, Michael Terry, and Carrie Jun Cai. 2022 · 2022
Earlier work this paper cites.
Knowledge tracing: A survey
Ghodai Abdelrahman, Qing Wang, and Bernardo Nunes. 2023 · 2023
Earlier work this paper cites.
CatAlyst: domain-extensible intervention for preventing task procrastination using large generative models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–19
Riku Arakawa, Hiromu Yakura, and Masataka Goto. 2023 · 2023
Earlier work this paper cites.
Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents
Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, et al · 2023
Earlier work this paper cites.
Adaptive and personalized exercise generation for online language learning
Peng Cui and Mrinmaya Sachan. 2023 · 2023
Earlier work this paper cites.
Patat: Human-ai collaborative qualitative coding with explainable interactive rule synthesis. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–19
Simret Araya Gebreegziabher, Zheng Zhang, Xiaohang Tang, Yihao Meng, Elena L Glassman, and Toby Jia-Jun Li. 2023 · 2023
Earlier work this paper cites.
A survey on large language models: Applications, challenges, limitations, and practical usage
Muhammad Usman Hadi, Rizwan Qureshi, Abbas Shah, Muhammad Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Jia Wu, Seyedali Mirjalili, et al · 2023
Earlier work this paper cites.
Towards mitigating hallucination in large language models via self-reflection
Ziwei Ji, Tiezheng Yu, Yan Xu, Nayeon Lee, Etsuko Ishii, and Pascale Fung. 2023 · 2023
Earlier work this paper cites.
Understanding the benefits and challenges of deploying conversational AI leveraging large language models for public health intervention. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–16
Eunkyung Jo, Daniel A Epstein, Hyunhoon Jung, and Young-Ho Kim. 2023 · 2023
Cited alongside, same era.
Let gpt be a math tutor: Teaching math word problem solvers with customized exercise generation
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, and Ashwin Kaylan. 2023 · 2023
Cited alongside, same era.
“What it wants me to say”: Bridging the abstraction gap between end-user programmers and code-generating large language models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–31
Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Benjamin Zorn, Jack Williams, Neil Toronto, and Andrew D Gordon. 2023b · 2023
Cited alongside, same era.
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing. In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023 . OpenReview.net
Explainable few-shot knowledge tracing
Haoxuan Li, Jifan Yu, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Juanzi Li, and Zhang Xiong. 2024d · 2024
Later among the works it cites.
Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, and Tat-Seng Chua. 2024a · 2024
Later among the works it cites.
Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, and Yong Yu. 2024b · 2024
Later among the works it cites.
Long-context llms struggle with long in-context learning
Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, and Wenhu Chen. 2024e · 2024
Later among the works it cites.
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Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, and Weiqi Luo. 2023a · 2023
Cited alongside, same era.
ReadingQuizMaker: a human-NLP collaborative system that supports instructors to design high-quality reading quiz questions. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–18
Xinyi Lu, Simin Fan, Jessica Houghton, Lu Wang, and Xu Wang. 2023 · 2023
Cited alongside, same era.
Gpteach: Interactive ta training with gpt-based students. In Proceedings of the tenth acm conference on learning@ scale . 226–236
Julia M Markel, Steven G Opferman, James A Landay, and Chris Piech. 2023 · 2023
Cited alongside, same era.
A large language model-assisted education tool to provide feedback on open-ended responses
Jordan K Matelsky, Felipe Parodi, Tony Liu, Richard D Lange, and Konrad P Kording. 2023 · 2023
Cited alongside, same era.
Generative agents: Interactive simulacra of human behavior. In Proceedings of the 36th annual acm symposium on user interface software and technology . 1–22
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
Cited alongside, same era.
Anglekindling: Supporting journalistic angle ideation with large language models. In Proceedings of the 2023 CHI conference on human factors in computing systems . 1–16
Savvas Petridis, Nicholas Diakopoulos, Kevin Crowston, Mark Hansen, Keren Henderson, Stan Jastrzebski, Jeffrey V Nickerson, and Lydia B Chilton. 2023 · 2023
Cited alongside, same era.
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
Xiangru Tang, Yiming Zong, Yilun Zhao, Arman Cohan, and Mark Gerstein. 2023 · 2023
Cited alongside, same era.
Enabling conversational interaction with mobile ui using large language models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–17
Bryan Wang, Gang Li, and Yang Li. 2023a · 2023
Cited alongside, same era.
PopBlends: Strategies for conceptual blending with large language models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–19
Sitong Wang, Savvas Petridis, Taeahn Kwon, Xiaojuan Ma, and Lydia B Chilton. 2023b · 2023
Cited alongside, same era.
Zhaoxing Li, Jujie Yang, Jindi Wang, Lei Shi, and Sebastian Stein. 2024c · 2024
Later among the works it cites.
Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation. In Proceedings of the Eleventh ACM Conference on Learning @ Scale (L@S ’24, Vol. 8) . ACM, 16–27
Xinyi Lu and Xu Wang. 2024 · 2024
Later among the works it cites.
Evaluating the Experience of LGBTQ+ People Using Large Language Model Based Chatbots for Mental Health Support. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–15
Zilin Ma, Yiyang Mei, Yinru Long, Zhaoyuan Su, and Krzysztof Z Gajos. 2024 · 2024
Later among the works it cites.
Self-refine: Iterative refinement with self-feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, et al · 2024
Later among the works it cites.
Towards Modeling Learner Performance with Large Language Models
Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, and Tanja Käser. 2024 · 2024
Later among the works it cites.
CharacterMeet: Supporting Creative Writers’ Entire Story Character Construction Processes Through Conversation with LLM-Powered Chatbot Avatars. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–19
Hua Xuan Qin, Shan Jin, Ze Gao, Mingming Fan, and Pan Hui. 2024 · 2024
Later among the works it cites.
Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–20
Niroop Channa Rajashekar, Yeo Eun Shin, Yuan Pu, Sunny Chung, Kisung You, Mauro Giuffre, Colleen E Chan, Theo Saarinen, Allen Hsiao, Jasjeet Sekhon, et al · 2024
Later among the works it cites.
ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–18
Mohi Reza, Nathan M Laundry, Ilya Musabirov, Peter Dushniku, Zhi Yuan “Michael” Yu, Kashish Mittal, Tovi Grossman, Michael Liut, Anastasia Kuzminykh, and Joseph Jay Williams. 2024 · 2024
Later among the works it cites.
Enhancing E-Learning Experience Through Embodied AI Tutors in Immersive Virtual Environments: A Multifaceted Approach for Personalized Educational Adaptation. In International Conference on Human-Computer Interaction . Springer, 272–287
Fatemeh Sarshartehrani, Elham Mohammadrezaei, Majid Behravan, and Denis Gracanin. 2024 · 2024
Later among the works it cites.
ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–20
Woosuk Seo, Chanmo Yang, and Young-Ho Kim. 2024 · 2024
Later among the works it cites.
Narrating Fitness: Leveraging Large Language Models for Reflective Fitness Tracker Data Interpretation. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–16
Konstantin R Strömel, Stanislas Henry, Tim Johansson, Jasmin Niess, and Paweł W Woźniak. 2024 · 2024
Later among the works it cites.
Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–26
Sangho Suh, Meng Chen, Bryan Min, Toby Jia-Jun Li, and Haijun Xia. 2024 · 2024
Later among the works it cites.
CS1-LLM: Integrating LLMs into CS1 Instruction
Annapurna Vadaparty, Daniel Zingaro, David H Smith IV, Mounika Padala, Christine Alvarado, Jamie Gorson Benario, and Leo Porter. 2024 · 2024
Later among the works it cites.
Building LLM-based AI Agents in Social Virtual Reality. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems . 1–7
Hongyu Wan, Jinda Zhang, Abdulaziz Arif Suria, Bingsheng Yao, Dakuo Wang, Yvonne Coady, and Mirjana Prpa. 2024 · 2024
Later among the works it cites.
TasTe: Teaching Large Language Models to Translate through Self-Reflection
Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, and Min Zhang. 2024d · 2024
Later among the works it cites.
MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use Intervention. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–24
Ruolan Wu, Chun Yu, Xiaole Pan, Yujia Liu, Ningning Zhang, Yue Fu, Yuhan Wang, Zhi Zheng, Li Chen, Qiaolei Jiang, et al · 2024
Later among the works it cites.
EduAgent: Generative Student Agents in Learning
Songlin Xu, Xinyu Zhang, and Lianhui Qin. 2024b · 2024
Later among the works it cites.
A Survey on Knowledge Distillation of Large Language Models
Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, and Tianyi Zhou. 2024a · 2024
Later among the works it cites.
Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning
Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, and Yulan He. 2024 · 2024
Later among the works it cites.
ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–23
Jackie Yang, Yingtian Shi, Yuhan Zhang, Karina Li, Daniel Wan Rosli, Anisha Jain, Shuning Zhang, Tianshi Li, James A Landay, and Monica S Lam. 2024 · 2024
Later among the works it cites.
ECKT: Enhancing Code Knowledge Tracing via Large Language Models. In Proceedings of the Annual Meeting of the Cognitive Science Society , Vol. 46
Yang Yu, Yingbo Zhou, Yaokang Zhu, Yutong Ye, Liangyu Chen, and Mingsong Chen. 2024 · 2024
Later among the works it cites.
MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Education
Murong Yue, Wijdane Mifdal, Yixuan Zhang, Jennifer Suh, and Ziyu Yao. 2024 · 2024
Later among the works it cites.
Simulating classroom education with llm-empowered agents
Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, Linlu Gong, Jinchang Zhou, Zhiyuan Liu, Lei Hou, and Juanzi Li. 2024c · 2024
Later among the works it cites.
Predictive, scalable and interpretable knowledge tracing on structured domains
Hanqi Zhou, Robert Bamler, Charley M. Wu, and Álvaro Tejero-Cantero. 2024 · 2024
Later among the works it cites.
Wazeer Deen Zulfikar, Samantha Chan, and Pattie Maes. 2024 · 2024
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