Innovation in the Use of AI in Teaching Undergraduate Students in Political Science, Suan Sunandha Rajabhat University
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Abstract
This research aims to 1) study the impact of using AI on the teaching process of undergraduate students in Political Science and 2) study the impact of using AI on adjusting teaching to be appropriate for undergraduate students in Political Science. This research is a quantitative research. The sample group used is 400 undergraduate students in Political Science. Data were analyzed by means, percentages, standard deviations, and multiple regression analysis statistics. The research results found that 1) the impact of AI use on the teaching process of undergraduate students is the impact of AI use (β=.530), the multiple correlation coefficient (R) between the independent variables, namely the impact of AI use equal to .530, the coefficient of determination (R2) equal to .281 and the coefficient of explanation (Adjusted R2) equal to .279, with a joint efficiency in the impact of AI use on the teaching process of students of 27.9 percent. And 2) the impact of AI use on adjusting teaching to be appropriate for undergraduate students is the impact of AI use (β=.160), the multiple correlation coefficient (R) between the independent variables, namely the impact of AI use equal to .160, the coefficient of determination (R2) equal to .026 and the coefficient of explanation (Adjusted R2) equal to .023, with a joint efficiency in the impact of AI use on adjusting teaching to be appropriate for students of 2.3 percent.
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