Implementation of Deep Learning Approach with Blooket in Improving Reading Comprehension at SMKN 3 OKU

Abstract

This research aimed to determine the effectiveness of the Deep Learning Approach with Blooket in improving the reading comprehension of tenth-grade students at SMK Negeri 3 OKU. Blooket is a gamification platform that engages students through interactive game modes, enabling the Deep Learning Approach to be implemented in a mindful, meaningful, and joyful manner during reading comprehension activities. This study employed a quantitative pre-experimental method with a one-group pretest-posttest design. The sample consisted of 35 students from Class X DPIB 2 selected through purposive sampling. The instrument was a 25-item multiple-choice reading comprehension test. Data were analyzed using the Shapiro-Wilk normality test and the Paired Samples T-test. The results showed that the mean score increased from 49.94 on the pre-test to 77.26 on the post-test. The treatment was effective (Sig. 2-tailed = 0.000 < 0.05), indicating significant improvement in students' reading comprehension and a more active, motivating learning environment.