https://mail.insyma.org/proceedings/files/original/articles/Natalia Christiani.pdf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Proceedings of the International Symposium on Management (INSYMA) (Vol 22, 2025) Proceedings meta_title Artificial Intelligence in Leadership Learning: Enhancing Team Climate and Collaboration in Students’ Projects Author #1 Natalia Christiani Author #2 Jacqueline Valentine Djuandi Author #3 Michelin Saila 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. keywords a;b;c;d Artjjjificial Intelligence, Leadership Learning, Team Climate, Students’ Projects. publication_date 2025/06/20 2025/06/15 pdf_url https://insyma.org/proceedings/files/articles/Natalia Christiani.pdf abstract_html_url https://insyma.org/proceedings/items/show/ https://insyma.org/proceedings/items/show/332 firstpage 122 lastpage 128 issn 3047-857X 3047-857X conference Proceedings of the International Symposium on Management (INSYMA) Proceedings of the International Symposium on Management (INSYMA) publisher_name Fakultas Bisnis dan Ekonomika, Universitas Surabaya Fakultas Bisnis dan Ekonomika, Universitas Surabaya no article 21 Volume 22 authors Natalia Christiani, Jacqueline Valentine Djuandi, Michelin Saila Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence in Leadership Learning: Enhancing Team Climate and Collaboration in Students’ Projects Creator An entity primarily responsible for making the resource Natalia Christiani, Jacqueline Valentine Djuandi, Michelin Saila