Abstract
This paper aims to determine how artificial intelligence facilitates cooperation, minimizes conflict, and increases cooperative learning among group project teams comprising university students and instructors. The quantitative approach is applied to collect data from a sample size of 250 students and 150 instructors recruited using probability sampling methods from universities across Punjab. A self-administered questionnaire is used for the data collection purposes based on AI tools utilization, improved communication, and resolution of conflict between them along with general results of learning. Statistical methods, such as Pearson's r correlation analysis, regression analysis, and post-hoc tests were applied to analyze the data. All results obtained are positive; that is, utilization of artificial intelligence had relationships with improvements in collaboration (r = 0.76), communication (r = 0.72), coordination of tasks (r = 0.78), conflict reduction (r = 0.80), and the outcomes of learning (r = 0.75). Regression analysis has verified that AI tools are strong predictors of these changes, as the p-values are less than 0.05. This study emphasizes the strength of AI-driven tools in enhancing teamwork, reducing interpersonal conflicts, and encouraging cooperative learning in group settings. Therefore, the implications of the findings are very critical for the utilization of AI tools in educational settings.
Published Version
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