OPTIMALISASI TPACK DENGAN PENDEKATAN DEEP LEARNING UNTUK PEMBELAJARAN INTERAKTIF MUFRODAT

Abstract

Learning Arabic vocabulary is an important aspect of mastering Arabic. However, in practice, learning Arabic often remains conventional, making it less engaging and interactive for students. This study aims to optimize the Technological Pedagogical Content Knowledge (TPACK) framework through a deep learning approach in Arabic learning to make the learning process more interactive, meaningful, and contextual. The research method used is qualitative research with a descriptive approach through literature studies and observations of learning practices. The results show that the integration of digital technology, appropriate pedagogical strategies, and a deep understanding of Arabic content can increase student engagement in Arabic learning. The deep learning approach encourages students to understand the meaning of vocabulary contextually, rather than simply memorizing. Thus, optimizing TPACK with a deep learning approach can be an effective strategy in improving the quality of Arabic learning in the classroom.