Quasi-experiment shows increased student interest in social studies with AI media, highlighting engagement benefits.
This research is motivated by the lack of innovation and utilization of renewable technology, which is one of the main factors inhibiting the creation of an interactive learning atmosphere and student involvement. In addition, the observations show that the percentage of student involvement or participation in class during learning is less than 50%. This study aims to measure the use of AI learning media on student learning interest. The research method used is quantitative with a quasi-experiment approach with a nonequivalent control group design, where the determination of the sample is based on the criteria for the equality of the average results of student participation per class, namely students in experimental class 7D and control class 7F. The results of this T-test data analysis showed a significant value of 0.000. These results indicate that H0 is rejected and Ha¬ is accepted, and it can be concluded that the use of Artificial Intelligence learning media is effective in increasing student interest in social studies subjects compared to the control class. In addition, the N-Gain score test found a mean score of 67.23, including in the effective category. As for the control class with the media used PowerPoint obtained a mean score of 22.67 which is included in the ineffective category. It can be concluded that the use of Artificial Intelligence media effectively increases students' interest in learning social studies subjects.
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Resaliano et al. (2025) studied this question.
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