<![CDATA[Objective: This study analyzes the challenges and needs of elementary school teachers in the southern coastal areas of Central Java and the Special Region of Yogyakarta in teaching English reading and writing, and identifies the need to develop a digital learning model based on Mobile Assisted Language Learning (MALL) with a deep learning approach. Method: This study employed a qualitative case study design to explore the challenges and needs of elementary school English teachers in implementing English reading and writing instruction in coastal communities. The study involved English teachers from Purworejo, Kebumen, and Kulon Progo as participants. Data were collected through questionnaires and semi-structured interviews to obtain an in-depth understanding of teachers’ experiences, challenges, and expectations regarding the implementation of a deep learning-based MALL model. Result: The results indicate that conventional methods are ineffective in fostering deep understanding and student interest. Key challenges faced by teachers include limited English language proficiency, lack of teaching experience, and minimal training on deep learning approaches. Furthermore, limited lesson time and issues such as student addiction to online games are also obstacles. The needs analysis indicates an urgent need for innovative digital learning models. The majority of teachers believe that MALL can improve students’ English literacy and see great potential in an adaptive system that can automatically adjust the difficulty level. Although school infrastructure is considered adequate, teachers still need further training and support for effective implementation. Novelty: This study concludes that the deep learning-based MALL model is a relevant solution to address existing challenges, with a focus on meaningful and enjoyable learning experiences.]]>
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