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Interaction is a fundamental part of using any computer system but it is still an issue for people with special needs. In order to improve this situation, this paper describes a new device-interaction model based on adaptation rules for…

Human-Computer Interaction · Computer Science 2023-01-03 Juan Jesus Ojeda-Castelo , Jose A. Piedra-Fernandez , Luis Iribarne

In this paper, we make an important step towards the black-box machine teaching by considering the cross-space machine teaching, where the teacher and the learner use different feature representations and the teacher can not fully observe…

Machine Learning · Statistics 2018-06-07 Weiyang Liu , Bo Dai , Xingguo Li , Zhen Liu , James M. Rehg , Le Song

Within intelligent tutoring systems, considerable research has investigated hints, including how to generate data-driven hints, what hint content to present, and when to provide hints for optimal learning outcomes. However, less attention…

Artificial Intelligence · Computer Science 2020-10-14 Mehak Maniktala , Christa Cody , Tiffany Barnes , Min Chi

The integration of generative artificial intelligence into educational applications has enhanced personalized and interactive learning experiences, and it shows strong potential to promote young learners language acquisition. However, it is…

Computation and Language · Computer Science 2025-06-04 Zhengyuan Liu , Geyu Lin , Hui Li Tan , Huayun Zhang , Yanfeng Lu , Xiaoxue Gao , Stella Xin Yin , He Sun , Hock Huan Goh , Lung Hsiang Wong , Nancy F. Chen

While Machine learning gives rise to astonishing results in automated systems, it is usually at the cost of large data requirements. This makes many successful algorithms from machine learning unsuitable for human-machine interaction, where…

Human-Computer Interaction · Computer Science 2021-09-30 Jan Philip Göpfert , Ulrike Kuhl , Lukas Hindemith , Heiko Wersing , Barbara Hammer

Generative AI tools are increasingly used for coursework help, shifting much of students' help-seeking and reasoning into student-AI chats that are largely invisible to instructors. This loss of visibility can weaken instructors' ability to…

Human-Computer Interaction · Computer Science 2026-03-25 Boxuan Ma , Baofeng Ren , Huiyong Li , Gen Li , Li Chen , Atsushi Shimada , Shin'Ichi Konomi

The integration of large language models (LLMs) into computing education offers many potential benefits to student learning, and several novel pedagogical approaches have been reported in the literature. However LLMs also present…

Computers and Society · Computer Science 2024-12-13 Shuying Qiao , Paul Denny , Nasser Giacaman

The promise of generative AI to revolutionize education is constrained by the pedagogical limits of large language models (LLMs). A major issue is the lack of access to high-quality training data that reflect the learning of actual…

Computation and Language · Computer Science 2025-10-07 Janos Perczel , Jin Chow , Dorottya Demszky

The Teacher-Student Framework (TSF) is a reinforcement learning setting where a teacher agent guards the training of a student agent by intervening and providing online demonstrations. Assuming optimal, the teacher policy has the perfect…

Machine Learning · Computer Science 2023-04-25 Zhenghai Xue , Zhenghao Peng , Quanyi Li , Zhihan Liu , Bolei Zhou

Designing dialog tutors has been challenging as it involves modeling the diverse and complex pedagogical strategies employed by human tutors. Although there have been significant recent advances in neural conversational systems using large…

Computation and Language · Computer Science 2023-03-29 Jakub Macina , Nico Daheim , Lingzhi Wang , Tanmay Sinha , Manu Kapur , Iryna Gurevych , Mrinmaya Sachan

Art education plays a significant role in K-2 learners' physical and cognitive development. However, teachers struggle to translate in-person activities to remote settings and to give necessary feedback to help learners develop fine motor…

Human-Computer Interaction · Computer Science 2026-05-28 Gennie Mansi , Ashley Boone , Sue Reon Kim , Jessica Roberts

Large Language Models (LLMs) are increasingly integrated into intelligent tutoring systems to provide human-like and adaptive instruction. However, most existing approaches fail to capture how students' knowledge evolves dynamically across…

Computation and Language · Computer Science 2025-11-20 Yang Wu , Rujing Yao , Tong Zhang , Yufei Shi , Zhuoren Jiang , Zhushan Li , Xiaozhong Liu

Level 3 automated driving systems (ADS) have attracted significant attention and are being commercialized. A level 3 ADS prompts the driver to take control by issuing a request to intervene (RtI) when its operational design domains (ODD)…

Human-Computer Interaction · Computer Science 2026-04-22 Ryuji Matsuo , Hailong Liu , Toshihiro Hiraoka , Takahiro Wada

Heuristic and scaffolded teacher-student dialogues are widely regarded as critical for fostering students' higher-order thinking and deep learning. However, large language models (LLMs) currently face challenges in generating pedagogically…

Artificial Intelligence · Computer Science 2025-09-03 Ruijia Li , Yuan-Hao Jiang , Jiatong Wang , Bo Jiang

Self-reflection on learning experiences constitutes a fundamental cognitive process, essential for the consolidation of knowledge and the enhancement of learning efficacy. However, traditional methods to facilitate reflection often face…

A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about the potential of new technologies to offer a personal tutor…

Most of today's educators are in no shortage of digital and online learning technologies available at their fingertips, ranging from Learning Management Systems such as Canvas, Blackboard, or Moodle, online meeting tools, online homework,…

Physics Education · Physics 2025-12-13 Zhongzhou Chen , Chandralekha Singh

Most existing Theory of Mind (ToM) benchmarks for foundation models rely on variations of the Sally-Anne test, offering only a very limited perspective on ToM and neglecting the complexity of human social interactions. To address this gap,…

Computation and Language · Computer Science 2025-09-17 Matteo Bortoletto , Constantin Ruhdorfer , Andreas Bulling

Tutoring improves student achievement, but identifying and studying what tutoring actions are most associated with student learning at scale based on audio transcriptions is an open research problem. This present study investigates the…

We introduce Generative Lecture, a concept that makes existing lecture videos interactive through generative AI and AI clone instructors. By leveraging interactive avatars powered by HeyGen, ElevenLabs, and GPT-5, we embed an AI instructor…

Human-Computer Interaction · Computer Science 2025-12-30 Hye-Young Jo , Ada Yi Zhao , Xiaoan Liu , Ryo Suzuki