Optimizing Student Collaborative Learning through Artificial Intelligence Integration: An Innovative Approach

Jusra Tampubolon ; Darwin Li ; Yusuf Ronny Edward
Proceeding of the International Conference on Econ... 📅 2026 Vol 3, No 1 🔗 DOI: 10.61132/iceat.v3i1.197
Abstract
This study examines the role of Artificial Intelligence (AI) in enhancing student collaborative learning, with a particular emphasis on AI-driven feedback mechanisms and patterns of student interaction in developing effective collaborative skills. Unlike prior studies, this research highlights the mediating effect of AI-driven feedback on teamwork efficiency and overall learning outcomes in collaborative environments. An explanatory quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) to ensure robust data analysis. Data were collected from 112 university students who were actively engaged in AI-assisted collaborative learning activities, using a structured online survey instrument. The data were subsequently analyzed using SmartPLS software. The results reveal that AI significantly enhances student interaction (β = 0.534, p < 0.000) and improves problem-solving feedback (β = 0.620, p < 0.000), both of which contribute to significantly strengthening collaborative skills (β = 0.716, p < 0.000). However, the findings also indicate that AI alone does not directly improve collaboration without the support of structured pedagogical design and guidance. Therefore, universities should strategically integrate AI-driven feedback into Learning Management Systems (LMS) and strengthen digital literacy initiatives to optimize the effectiveness and sustainability of AI in collaborative learning contexts.
Keywords
Artificial Intelligence; Collaborative Learning; Collaborative Skills; Student Interaction; Teamwork Efficiency
How to Cite

Jusra Tampubolon, et al. (2026). Optimizing Student Collaborative Learning through Artificial Intelligence Integration: An Innovative Approach. Proceeding of the International Conference on Economics, Accounting, and Taxation, 3(1). https://doi.org/10.61132/iceat.v3i1.197

Jusra Tampubolon; Darwin Li; Yusuf Ronny Edward, "Optimizing Student Collaborative Learning through Artificial Intelligence Integration: An Innovative Approach," Proceeding of the International Conference on Economics, Accounting, and Taxation, vol. 3, no. 1, 2026.

Jusra Tampubolon; Darwin Li; Yusuf Ronny Edward. "Optimizing Student Collaborative Learning through Artificial Intelligence Integration: An Innovative Approach." Proceeding of the International Conference on Economics, Accounting, and Taxation, vol. 3, no. 1, 2026.

Jusra Tampubolon; Darwin Li; Yusuf Ronny Edward. "Optimizing Student Collaborative Learning through Artificial Intelligence Integration: An Innovative Approach." Proceeding of the International Conference on Economics, Accounting, and Taxation 3, no. 1 (2026).

Jusra Tampubolon, et al. (2026) 'Optimizing Student Collaborative Learning through Artificial Intelligence Integration: An Innovative Approach', Proceeding of the International Conference on Economics, Accounting, and Taxation, 3(1). doi: 10.61132/iceat.v3i1.197.

Jusra Tampubolon; Darwin Li; Yusuf Ronny Edward. Optimizing Student Collaborative Learning through Artificial Intelligence Integration: An Innovative Approach. Proceeding of the International Conference on Economics, Accounting, and Taxation. 2026;3(1).

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