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Exploring the Potential of Artificial Intelligence in Addressing Pedagogical Challenges and Improving Group Work Quality in Higher Education
Dalarna University, School of Information and Engineering, Informatics.ORCID iD: 0000-0001-9194-9446
2023 (English)In: Proceedings of the 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023, Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

This paper aims to demonstrate the immense potential of Artificial Intelligence (AI) in improving the quality of group work in higher education institutions. While group work has been a widely accepted approach to promoting students' learning and collaboration skills, it poses several challenges, such as ineffective communication, unequal contributions, and difficulties monitoring progress. These challenges can be addressed by integrating AI tools that provide tailor-made feedback and facilitate communication and collaboration among group members by analyzing students' behavior and performance data. The Theory of Planned Behavior (TPB) has been utilized as one of the information system theories to influence and understand students' intentions and behaviors towards using AI tools. This paper reviews existing literature case studies and proposes a research model based on TPB and AI to provide a theoretical background on students' group work, challenges, and the impact of AI on teamwork. In conclusion, AI can potentially revolutionize several sectors of society, including education. Hence, it is strongly recommended that its use in group work within higher education institutions be explored further. © 2023 European Union IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023.
Keywords [en]
Artificial Intelligence, Group Work, Higher Education, Theory of Planned Behavior, Education computing, Group theory, Students, Artificial intelligence tools, Collaboration skills, High educations, Higher education institutions, Learning skills, Student collaboration, Student learning, Work quality
National Category
Pedagogy Information Systems
Identifiers
URN: urn:nbn:se:du-48301DOI: 10.1109/ICECCE61019.2023.10442360Scopus ID: 2-s2.0-85187228793ISBN: 9798350369694 (print)OAI: oai:DiVA.org:du-48301DiVA, id: diva2:1847105
Conference
4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023, 30-31 December 2023, Dubai, UAE
Available from: 2024-03-26 Created: 2024-03-26 Last updated: 2024-03-26Bibliographically approved

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Sarkheyli, Azadeh

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf