Annisa Annur
Universitas Pendidikan Indonesia

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Deep Learning Based Instruction for Enhancing Japanese Speaking Skills in Senior High School Annisa Annur; Herniwati Herniwati; Juju Juangsih
KIRYOKU Vol 11, No 1 (2027): Kiryoku: Jurnal Studi Kejepangan (In Press)
Publisher : Applied Foreign Language Study Program, Vocational College, Diponegoro University.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kiryoku.v11i1.35-52

Abstract

This study investigates the effectiveness of the Deep Learning approach, an educational approach that emphasizes meaningful, mindful, and joyful learning to promote active student engagement and deeper understanding, in improving Japanese speaking skills among senior high school students. The population of this study consisted of 432 eleventh grade students at SMAN 1 Sumedang. The sample was selected using simple random sampling, resulting in 72 students divided into 36 students in the experimental class and 36 students in the control class. This study employed a true experimental design using a pretest–posttest control group design. The results obtained from the Independent Samples t-test on the post-test scores of both classes showed a significance value of p < 0.001, indicating that the Deep Learning approach was proven to be effective in improving the Japanese speaking skills of eleventh grade students at SMAN 1 Sumedang, particularly in pronunciation, grammar, vocabulary, fluency, and comprehension.