The Development of Cooperative Learning Activities With Group Investigation Technique and Generative AI to Enhance Ninth-Grade Students’ Ability to Analyze Historical Causes and Consequences

Abstract

The purposes of this research were to 1) develop cooperative learning activities using group investigation technique and generative AI, to ensure appropriate quality and achieve effectiveness based on the 80/80 criterion, 2) compare students’ ability to analyze historical causes and consequences before and after the learning activities, 3) compare students’ learning achievement before and after the learning activities, and 4) examine students’ satisfaction in the learning activities. The sample consisted of 36 ninth-grade students Matthayombanbangkapi School, selected by simple random sampling. The research instruments included 1) lesson plans, 2) a test of students’ ability to analyze historical causes and consequences, 3) an achievement test, and 4) a satisfaction questionnaire. The statistical methods used for data analysis were mean, standard deviation, percentage, and t-test dependent. The results were as follows: 1) the developed cooperative learning activities with group investigation and generative AI were rated as the most appropriate (M = 4.56, SD = 0.60), with efficiency scores (E₁/E₂) of 80.97/81.30, which met the established criterion; 2) students’ ability to analyze historical causes and consequences after the learning activities was significantly higher than that before the learning activities, at the .01 significance level; 3) students’ learning achievement after the learning activities was significantly higher than that before the learning activities, at the .01 significance level; and 4) students’ satisfaction towards learning activities was at the highest level (M = 4.62, SD = 0.53). The findings indicated that all four research objectives were successfully achieved, demonstrating that the developed learning activities can be effectively implemented.