The effectiveness of artificial intelligence in gamification assessment for meansuring learning outcomes of elementary school students at SDN Kemayoran 2 Bangkalan

Abstract

This study aims to analyze the effectiveness of applying Artificial Intelligence (AI) in assessment gamification to improve student learning outcomes at SDN Kemayoran 2 Bangkalan. The research employed a quasi-experimental method with a nonequivalent control group design. The participants consisted of fourth-grade students divided into a control class and an experimental class. The instruments used included pretest and posttest assessments to measure students-understanding before and after the intervention, as well as data analysis using an independent samples t-test, normality test, and N-Gain test. The study results indicated an increase in the average learning outcome scores for both the control group (81.68) and the experimental group (86.63), with the latter showing a significantly greater improvement. The independent samples t-test yielded a significance value of 0.00 (< 0.05), confirming data were accepted. Furthermore, the normality test indicated that the data were normally distributed, as the significance value was ≥ 0.05. Additionally, the N-Gain test yielded an average score of 0.80 (high improvement category) and an effectiveness percentage of 80.41% (highly effective category). Therefore, the study concludes that the application of Artificial Intelligence in assessment gamification is proven effective and has a substantial impact on improving student learning outcomes at SDN Kemayoran 2 Bangkalan. This research implies that AI-based educational technologies can serve as innovative alternatives to support the learning process in elementary schools.