Artificial Intelligence in Leadership Learning: Enhancing Team Climate and Collaboration in Students’ Projects

Dublin Core

Title

Artificial Intelligence in Leadership Learning: Enhancing Team Climate and Collaboration in Students’ Projects

Creator

Natalia Christiani, Jacqueline Valentine Djuandi, Michelin Saila

Proceedings Item Type Metadata

meta_title

Artificial Intelligence in Leadership Learning: Enhancing Team Climate and Collaboration in Students’ Projects

Abstract/Description

Teamwork and leadership learning are changing as a result of the use of Artificial Intelligence (AI) tools in higher education. This empirical research investigates how AI tools, especially ChatGPT, enhance team-based learning in an Entrepreneurial Leadership course, centering on a Department Camp Project completed by 100 university students. Utilizing a mixed-methods approach, the research employs the Team Climate Inventory (TCI) to quantitatively assess four aspects of team climate-vision, participative safety, task orientation, and support for innovation-while qualitative insights were collected through open-ended surveys examining how students utilized AI tools during their team activities. Results indicate that regular and intentional use of AI, such as for generating ideas and organizing tasks, correlated positively with improved scores in team climate. Thematic analysis of qualitative feedback suggests that AI tools aided in fostering inclusive participation, clarifying shared objectives, and encouraging innovative input throughout the project. This research demonstrates the benefits of integrating AI into leadership education to enhance team effectiveness, providing practical recommendations for educators creating future collaborative learning experiences.

publication_date

2025/06/15

pdf_url

https://insyma.org/proceedings/files/articles/Natalia Christiani.pdf

abstract_html_url

https://insyma.org/proceedings/items/show/332

keywords

Artjjjificial Intelligence, Leadership Learning, Team Climate, Students’ Projects.

firstpage

122

lastpage

128

issn

3047-857X

conference

Proceedings of the International Symposium on Management (INSYMA)

Volume

22

publisher_name

Fakultas Bisnis dan Ekonomika, Universitas Surabaya

Author #1

Natalia Christiani

Author #2

Jacqueline Valentine Djuandi

Author #3

Michelin Saila

no article

21

authors

Natalia Christiani, Jacqueline Valentine Djuandi, Michelin Saila

Files

Natalia Christiani.pdf

Citation

Natalia Christiani, Jacqueline Valentine Djuandi, Michelin Saila, “Artificial Intelligence in Leadership Learning: Enhancing Team Climate and Collaboration in Students’ Projects,” Proceedings of the International Symposium on Management (INSYMA), accessed July 1, 2025, https://insyma.org/proceedings/items/show/332.

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