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Jacobus Ignatius DeBruyn – ProQuest LLC, 2024
This study explored the role of artificial intelligence (AI)-powered conversational agents in human-computer interaction, particularly in the post-coronavirus (COVID-19) era, where digital technologies are central to healthcare, customer service, and education sectors. The research investigated the disruption of context continuity when users…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Man Machine Systems, Dialogs (Language)
Judit Dombi; Tetyana Sydorenko; Veronika Timpe-Laughlin – Language Learning & Technology, 2024
Although conversation openings and closings are ritualized speech acts (House & Kádár, 2023), they do require interactional work (Schegloff, 1986). Thus, they are important elements of interactional competence (Roever, 2022) and have been studied extensively in L2 interactions, including various types of technology-mediated communication…
Descriptors: English (Second Language), Young Adults, Postsecondary Education, Verbal Communication
Eunhye Shin – Journal of Computer Assisted Learning, 2025
Background: Analysing classroom dialogue is a widely used approach for understanding students' learning, often requiring team-based collaborative research. This presents a challenge for single researchers due to the labour-intensive nature of the process. Emerging advancements in large language models (LLMs) such as ChatGPT, enhance qualitative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Science Education, Coding
Roberts, Jessica; Lyons, Leilah – International Journal of Computer-Supported Collaborative Learning, 2017
Museum researchers have long acknowledged the importance of dialogue in informal learning, particularly for open-ended exploratory exhibits. Novel interaction techniques like full-body interaction are appealing for these exploratory exhibits, but designers have not had a metric for determining how their designs are supporting productive learning…
Descriptors: Museums, Informal Education, Exhibits, Scoring
Jordan, Pamela W.; Albacete, Patricia L.; Katz, Sandra – Grantee Submission, 2015
Tutorial dialogue systems often simulate tactics used by experienced human tutors such as restating students' dialogue input. We investigated whether the amount of tutor restatement that supports student inference interacts with students' incoming knowledge level in predicting how much students learn from a system. We found that students with…
Descriptors: Intelligent Tutoring Systems, Man Machine Systems, Interaction, Student Reaction
Peer reviewedSchmidt, Colin T. – Journal of the American Society for Information Science, 1997
Explores the systemological approach of dialogism as a new way of couching the problem of person-machine dialog in human-computer interaction. Concludes that a human-computer interaction community reflecting upon the future of interface will gain bona fide self-awareness from conceptualizing the machine as a component of society, rather than a…
Descriptors: Communication (Thought Transfer), Computer Interfaces, Computer Mediated Communication, Computer System Design

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