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Intelligent tutoring systems (ITS) using artificial intelligence (AI) technology have shown promise in supporting learners with diverse abilities.
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A readability evaluation of real-time crowd captions in the classroom. In Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility . 71–78
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An intelligent computer-based system for sign language tutoring
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Explaining predictive models to learning specialists using personas. In Proceedings of the Fourth International Conference on Learning Analytics And Knowledge (Indianapolis, Indiana, USA) (LAK ’14) . Association for Computing Machinery, New York, NY, USA, 26–30
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Helping students keep up with real-time captions by pausing and highlighting. In Proceedings of the 11th Web for All Conference . 1–8
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AutoTutor and family: A review of 17 years of natural language tutoring
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Effectiveness of intelligent tutoring systems: a meta-analytic review
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Deaf and hard-of-hearing perspectives on imperfect automatic speech recognition for captioning one-on-one meetings. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility . 155–164
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ElectronixTutor: an intelligent tutoring system with multiple learning resources for electronics
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Pedagogical content knowledge for teaching inclusive design. In Proceedings of the 2018 ACM Conference on International Computing Education Research . 69–77
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Accessibility in action: Co-located collaboration among deaf and hearing professionals
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A study on automatic speech recognition
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Sign language recognition, generation, and translation: An interdisciplinary perspective. In Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility . 16–31
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Generative agents: Interactive simulacra of human behavior. In Proceedings of the 36th annual acm symposium on user interface software and technology . 1–22
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Synergizing human-AI agency: a guide of 23 heuristics for service co-creation with LLM-based agents
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Exploration of automatic speech recognition for deaf and hard of hearing students in higher education classes. In Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility . 32–42
Janine Butler, Brian Trager, and Byron Behm. 2019 · 2019
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Quizbot: A dialogue-based adaptive learning system for factual knowledge. In Proceedings of the 2019 CHI conference on human factors in computing systems . 1–13
Sherry Ruan, Liwei Jiang, Justin Xu, Bryce Joe-Kun Tham, Zhengneng Qiu, Yeshuang Zhu, Elizabeth L Murnane, Emma Brunskill, and James A Landay. 2019 · 2019
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Implementation of Design Thinking Approach In Designing Learning Support Tools In The Classroom For Hearing Impaired Person: Case Study: Elementary School Students in SLB-B Santi Rama. In Proceedings of the 2019 International Conference on E-business and Mobile Commerce . 75–80
Amalia Suzianti and Hajid Naufal Atthousi. 2019 · 2019
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Effects of intelligent tutoring systems (ITS) on personalized learning (PL)
Yasar Akyuz et al · 2020
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Who benefits? positive learner outcomes from behavioral analytics of online lecture video viewing using classtranscribe. In Proceedings of the 51st acm technical symposium on computer science education . 1193–1199
Lawrence Angrave, Zhilin Zhang, Genevieve Henricks, and Chirantan Mahipal. 2020 · 2020
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Sign language transformers: Joint end-to-end sign language recognition and translation. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 10023–10033
Necati Cihan Camgoz, Oscar Koller, Simon Hadfield, and Richard Bowden. 2020 · 2020
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Accessibility for deaf and hard of hearing users: Sign language conversational user interfaces. In Proceedings of the 2nd Conference on Conversational User Interfaces . 1–3
Abraham Glasser, Vaishnavi Mande, and Matt Huenerfauth. 2020 · 2020
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A review of mentoring deaf and hard-of-hearing scholars
Matthew A Lynn, Elizabeth Butcher, Jessica A Cuculick, Steven Barnett, Camille A Martina, Scott R Smith, Robert Q Pollard Jr, and Patricia J Simpson-Haidaris. 2020 · 2020
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Customization of closed captions via large language models. In International Conference on Computers Helping People with Special Needs . Springer, 50–58
Mariana Arroyo Chavez, Bernard Thompson, Molly Feanny, Kafayat Alabi, Minchan Kim, Lu Ming, Abraham Glasser, Raja Kushalnagar, and Christian Vogler. 2024 · 2024
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Xai meets llms: A survey of the relation between explainable ai and large language models
Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Navid Nobani, and Andrea Seveso. 2024 · 2024
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Si Chen, Haocong Cheng, Suzy Su, Lu Ming, Sarah Masud, Qi Wang, and Yun Huang. 2024b · 2024
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Inclusive Deaf Education Enabled by Artificial Intelligence: The Path to a Solution
André Coy, Phaedra S Mohammed, and Paulson Skerrit. 2024 · 2024
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Systemic Biases in Sign Language AI Research: A Deaf-Led Call to Reevaluate Research Agendas
Aashaka Desai, Maartje De Meulder, Julie A Hochgesang, Annemarie Kocab, and Alex X Lu. 2024 · 2024
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Alpacafarm: A simulation framework for methods that learn from human feedback
Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy S Liang, and Tatsunori B Hashimoto. 2024 · 2024
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SignLLM: Sign Languages Production Large Language Models
Sen Fang, Lei Wang, Ce Zheng, Yapeng Tian, and Chen Chen. 2024 · 2024
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Survey of collaboration supporting students who are deaf and hard of hearing
Samantha J Gustafson, Elsa Newsome, Nicole Pilling, and Emilee Segura. 2024 · 2024
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CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–24
Juhye Ha, Hyeon Jeon, Daeun Han, Jinwook Seo, and Changhoon Oh. 2024 · 2024
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Shuxu Huffman, Si Chen, Kelly Avery Mack, Haotian Su, Qi Wang, and Raja Kushalnagar. 2024 · 2024
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PersonaFlow: Boosting Research Ideation with LLM-Simulated Expert Personas
Yiren Liu, Pranav Sharma, Mehul Jitendra Oswal, Haijun Xia, and Yun Huang. 2024 · 2024
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“They only care to show us the wheelchair”: disability representation in text-to-image AI models. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–23
Kelly Avery Mack, Rida Qadri, Remi Denton, Shaun K Kane, and Cynthia L Bennett. 2024 · 2024
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Generative AI and Its Impact on Personalized Intelligent Tutoring Systems
Subhankar Maity and Aniket Deroy. 2024 · 2024
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Reference-based Metrics Disprove Themselves in Question Generation
Bang Nguyen, Mengxia Yu, Yun Huang, and Meng Jiang. 2024 · 2024
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Deus Ex Machina and Personas from Large Language Models: Investigating the Composition of AI-Generated Persona Descriptions. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–20
Joni Salminen, Chang Liu, Wenjing Pian, Jianxing Chi, Essi Häyhänen, and Bernard J Jansen. 2024 · 2024
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Ruffle&Riley: From Lesson Text to Conversational Tutoring. In Proceedings of the Eleventh ACM Conference on Learning@ Scale . 547–549
Robin Schmucker, Meng Xia, Amos Azaria, and Tom Mitchell. 2024 · 2024
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Building better ai agents: A provocation on the utilisation of persona in llm-based conversational agents. In Proceedings of the 6th ACM Conference on Conversational User Interfaces . 1–6
Guangzhi Sun, Xiao Zhan, and Jose Such. 2024 · 2024
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Assessment of Sign Language-Based versus Touch-Based Input for Deaf Users Interacting with Intelligent Personal Assistants. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–15
Nina Tran, Paige S DeVries, Matthew Seita, Raja Kushalnagar, Abraham Glasser, and Christian Vogler. 2024 · 2024
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Enhance reasoning for large language models in the game werewolf
Shuang Wu, Liwen Zhu, Tao Yang, Shiwei Xu, Qiang Fu, Yang Wei, and Haobo Fu. 2024 · 2024
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Chaoran Chen, Bingsheng Yao, Ruishi Zou, Wenyue Hua, Weimin Lyu, Yanfang Ye, Toby Jia-Jun Li, and Dakuo Wang. 2025b · 2025
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Inclusive Emotion Technologies: Addressing the Needs of d/Deaf and Hard of Hearing Learners in Video-Based Learning
Si Chen, Jason Situ, Haocong Cheng, Suzy Su, Desiree Kirst, Lu Ming, Qi Wang, Lawrence Angrave, and Yun Huang. 2025a · 2025
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Persona-L has Entered the Chat: Leveraging LLMs and Ability-based Framework for Personas of People with Complex Needs. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems . 1–31
Lipeipei Sun, Tianzi Qin, Anran Hu, Jiale Zhang, Shuojia Lin, Jianyan Chen, Mona Ali, and Mirjana Prpa. 2025 · 2025
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