Human-AI Shared Regulation for Hybrid Intelligence in Learning and Teaching: Conceptual Domain, Ontological Foundations, Propositions, and Implications for Research
Nguyen, Andy
Hawaii International Conference on System Sciences
Nguyen, A. (2025). Human-AI shared regulation for hybrid intelligence in learning and teaching: Conceptual domain, ontological foundations, propositions, and implications for research. Proceedings of the 58th Hawaii International Conference on System Sciences, 34-43. https://doi.org/10.24251/HICSS.2025.006
https://creativecommons.org/licenses/by-nc-nd/4.0/
© University of Hawaiʻi at Mānoa Library. Papers published as part of the Proceedings of the 58th Annual Hawaii International Conference on System Sciences are under Creative Commons licenses (CC-BY-NC-ND 4.0). https://creativecommons.org/licenses/by-nc-nd/4.0/
https://creativecommons.org/licenses/by-nc-nd/4.0/
© University of Hawaiʻi at Mānoa Library. Papers published as part of the Proceedings of the 58th Annual Hawaii International Conference on System Sciences are under Creative Commons licenses (CC-BY-NC-ND 4.0). https://creativecommons.org/licenses/by-nc-nd/4.0/
https://creativecommons.org/licenses/by-nc-nd/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202505233889
https://urn.fi/URN:NBN:fi:oulu-202505233889
Tiivistelmä
Abstract
In today's rapidly evolving and technology-integrated society, the role of Artificial Intelligence (AI) in co-learning, co-working, and co-evolution is garnering increasing attention from both practitioners and researchers. Despite this growing interest, systematic scholarly inquiry into the concept of Hybrid Intelligence (HI), which combines human intelligence and AI, and its distinctiveness from other related concepts, has been limited. This article explores the theoretical foundations and philosophical perspectives of HI in the context of Information Systems (IS) research. Specifically, it focuses on the role of Human-AI shared regulation in HI for learning and teaching. From this theoretical grounding, the article proposes the ontological foundations for Human-AI shared regulation in HI and discusses research propositions to guide future research in HI within IS, particularly concerning advanced technologies in learning and teaching.
In today's rapidly evolving and technology-integrated society, the role of Artificial Intelligence (AI) in co-learning, co-working, and co-evolution is garnering increasing attention from both practitioners and researchers. Despite this growing interest, systematic scholarly inquiry into the concept of Hybrid Intelligence (HI), which combines human intelligence and AI, and its distinctiveness from other related concepts, has been limited. This article explores the theoretical foundations and philosophical perspectives of HI in the context of Information Systems (IS) research. Specifically, it focuses on the role of Human-AI shared regulation in HI for learning and teaching. From this theoretical grounding, the article proposes the ontological foundations for Human-AI shared regulation in HI and discusses research propositions to guide future research in HI within IS, particularly concerning advanced technologies in learning and teaching.
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