Enhancing English Language Learning through Deep Learning Approaches in MTS Al-Amin Kampung Pajak

This study aims to explore the potential of integrating deep learning approaches into English language learning at MTS Al-Amin Kampung Pajak. The approach is expected to enhance the effectiveness of English instruction by providing more personalized, interactive, and adaptive learning tools. This research uses a qualitative descriptive method with a case study design, involving interviews with English teachers, classroom observations, and document analysis. The findings indicate that while both teachers and students have a positive attitude toward the use of technology, the main challenges lie in limited technological infrastructure and the teachers’ preparedness to integrate technology into their teaching. Deep learning tools such as AI-powered writing assistants, pronunciation trainers, and adaptive learning apps can be effectively integrated to enrich the students' learning experiences. This study recommends investing in technological infrastructure, providing professional development for teachers, and implementing a phased approach to introducing deep learning tools in the classroom.

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Publication Details

Journal
PEBSAS Jurnal Pendidikan Bahasa dan Sastra
Published
2024-11-20
DOI
https://doi.org/10.61721/pebsas.v2i3.517
Primary Topic
Arabic Language Education Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing English Language Learning through Deep Learning Approaches in MTS Al-Amin Kampung Pajak

Ratna Dewanti, Dewi Nurmala
PEBSAS Jurnal Pendidikan Bahasa dan Sastra
Arabic Language Education Studies
article

Enhancing English Language Learning through Deep Learning Approaches in MTS Al-Amin Kampung Pajak

Ratna Dewanti, Dewi Nurmala
article en

Abstract

This study aims to explore the potential of integrating deep learning approaches into English language learning at MTS Al-Amin Kampung Pajak. The approach is expected to enhance the effectiveness of English instruction by providing more personalized, interactive, and adaptive learning tools. This research uses a qualitative descriptive method with a case study design, involving interviews with English teachers, classroom observations, and document analysis. The findings indicate that while both teachers and students have a positive attitude toward the use of technology, the main challenges lie in limited technological infrastructure and the teachers’ preparedness to integrate technology into their teaching. Deep learning tools such as AI-powered writing assistants, pronunciation trainers, and adaptive learning apps can be effectively integrated to enrich the students' learning experiences. This study recommends investing in technological infrastructure, providing professional development for teachers, and implementing a phased approach to introducing deep learning tools in the classroom.

PEBSAS Jurnal Pendidikan Bahasa dan SastraVol. 2(3)
State University of Jakarta (ID), Universitas Muslim Nusantara Al Washliyah (ID)
Openalex Percentile: Top 58%
Arabic Language Education Studies
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