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Victoria Abramenka-Lachheb; Ahmed Lachheb; Gamze Ozogul – British Journal of Educational Technology, 2025
Philosophical stances and design frameworks, such as value-sensitive design, manifest in design praxis through enacting specific design approaches and employing a variety of methods by the designers. Although it could overlap with other frameworks and approaches in the Instructional Design and Technology (IDT) field, value-sensitive design remains…
Descriptors: Instructional Design, Praxis, Values, Online Courses
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Fangshu Yao; Bin Zhou – Cognitive Research: Principles and Implications, 2025
Humans usually adjust their attentional mode to tackle the challenges posed by environmental inputs. Depending on the uncertainty level, different attentional strategies may be adopted. As people face increasingly complicated daily situations--e.g., driving a car or chatting online--where intervals between significant events do not necessarily…
Descriptors: Attention Control, Eye Movements, Time, Time Perspective
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Mohd Kamal Othman; Rahimah Mat; Norehan Zulkiply – Education and Information Technologies, 2025
This research addresses the critical need for robust usability evaluation tools in Wearable Virtual Reality Educational Applications. We developed a comprehensive set of Wearable Virtual Reality Educational Applications usability heuristics through a multi-stage process. Initial heuristics were established through a literature review. Validation…
Descriptors: Assistive Technology, Computer Simulation, Technology Uses in Education, Usability
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)
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Shujoy Chakraborty; Dirk Loyens; Jeremy Aston – Open Education Studies, 2025
This research explores the impact of generative artificial intelligence (GenAI) on ideation and concept design of social robots capable of undertaking sustained long-duration human-robot interaction. The work reported here was developed between 2021 and 2024 through classroom teaching executed in four editions of 3-day project workshops involving…
Descriptors: Artificial Intelligence, Robotics, Man Machine Systems, Cues
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George Veletsianos; Shandell Houlden; Nicole Johnson – TechTrends: Linking Research and Practice to Improve Learning, 2024
Much of the literature on artificial intelligence (AI) in education imagines AI as a tool in the service of teaching and learning. Is such a one-way relationship all that exists between AI and learners? In this paper we report on a thematic analysis of 92 participant responses to a story completion exercise which asked them to describe a classroom…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Interaction
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Xu, Ying – Child Development Perspectives, 2023
Back-and-forth conversations with others are vital for children's development in the early years. While children's conversation partners have traditionally been their parents, teachers, and peers, recent advances in artificial intelligence have led to the introduction of machines that understand human speech and generate natural responses, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Computer Mediated Communication, Educational Technology
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De Ruyck, Olivia; Conradie, Peter; Van Hove, Stephanie; All, Anissa; Baccarne, Bastiaan; De Marez, Lieven; Saldien, Jelle – International Journal of Technology and Design Education, 2023
Interactions between humans and smart products (i.e. digital components integrated in physical Internet of Things devices) are becoming more complex and less visible. Yet designers lack tools to capture these interactions and incorporate them into their design. In this paper we present the Human-Computer-Context Interaction (HCCI) tool that helps…
Descriptors: Man Machine Systems, Industrial Arts, Design, Internet
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Han, Zhongmei; Tu, Yaxin; Huang, Changqin – IEEE Transactions on Learning Technologies, 2023
The education metaverse (Edu-Metaverse), as a simulated extension of the real world, is an infinite virtual space where learners can build their relationships with others and create interactive content. However, preparing learners to engage fully with Edu-Metaverse remains challenging. As technologies on Edu-Metaverse are new to learners, there is…
Descriptors: Technology Uses in Education, Computer Simulation, Learner Engagement, Interaction
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Ümmühan Avci; Feyza Akgül – Journal of Educational Technology and Online Learning, 2024
Digital transformation encompasses all the principles of people, working methods, and technology that support organizations in achieving their goals with the possibilities provided by the constantly developing information technologies that are in almost every aspect of our lives. Today, the impact of digital transformation is visible in every…
Descriptors: Computer Simulation, Technology Uses in Education, Man Machine Systems, Interaction
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Erik Voss; Hansun Zhang Waring – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Significant advancements in voice chatbots have spurred interest into their role in second language learning (Conium, 2008), particularly their ability to assist in the development of learners' conversation skills in a target language. Many efforts have been made to explore AI's potential to act as conversation partners for language learners. Of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Man Machine Systems
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Sonsoles Lopez-Pernas; Kamila Misiejuk; Rogers Kaliisa; Mohammed Saqr – IEEE Transactions on Learning Technologies, 2025
Despite the growing use of large language models (LLMs) in educational contexts, there is no evidence on how these can be operationalized by students to generate custom datasets suitable for teaching and learning. Moreover, in the context of network science, little is known about whether LLMs can replicate real-life network properties. This study…
Descriptors: Students, Artificial Intelligence, Man Machine Systems, Interaction
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Feifei Wang; Alan C. K. Cheung; Ching Sing Chai; Jin Liu – Education and Information Technologies, 2025
As learners are able to perceive interactivity when interacting with instructors or peer learners in traditional learning environments, learners are similarly able to perceive interactivity when interacting with artificial intelligence (AI) in AI-supported learning environments. Advancements in AI, such as generative AI including ChatGPT and…
Descriptors: Test Construction, Test Validity, Interaction, Artificial Intelligence
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Min Lee; Tan Roy Jun Yi; Chen Der-Thanq; Huang Jun Song; Hung Wei Loong David – Education and Information Technologies, 2025
A noticeable surge in students' widespread adoption of ChatGPT in the past year brought attention to the need for a deeper understanding of their interactions with this new technology. While attempts at theorising learner-ChatGPT interactions have been made, few studies offer empirical accounts of the interactions between learners and ChatGPT.…
Descriptors: Interaction, Man Machine Systems, Artificial Intelligence, Technology Uses in Education
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Liu, Mengrong; Pang, Weiguo; Guo, Jiajun; Zhang, Yiwen – Education and Information Technologies, 2022
Creativity is essential for the sustainable development of both individuals and organizations. The constant permeation of technology into everyday life is expected to facilitate the cultivation of creativity. To date, no consistent answer has been reached regarding the effect of technology on creativity. This study conducted a three-level…
Descriptors: Meta Analysis, Educational Technology, Multimedia Materials, Creativity
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