Developing Deep Learning–Based Digital Instructional Materials for Scientific Writing Integrating Palembang Local Wisdom to Enhance Secondary School Students’ Literacy
DOI:
https://doi.org/10.17507/tpls.1607.08Keywords:
needs analysis, digital instructional materials, scientific writing, deep learning, local wisdomAbstract
This study aims to analyze the need for developing digital instructional materials for scientific writing based on deep learning principles and Palembang local wisdom for secondary school students. The needs analysis was conducted using Nation and Macalister’s framework, which encompasses the aspects of necessities, lacks, and needs. The study employed a research and development (R&D) design. Data were collected through questionnaires and interviews, involving 779 secondary school students and 28 Indonesian language teachers as respondents. The data were analyzed using both quantitative and qualitative approaches. The findings indicate a strong need for the development of digital instructional materials for scientific writing that integrate deep learning principles and Palembang local wisdom. In terms of necessities, students require mastery of scientific writing conventions, the ability to develop ideas systematically, the use of appropriate academic language, and learning activities that foster critical and reflective thinking within a relevant local wisdom context. Regarding lacks, the instructional materials currently in use are predominantly theoretical, less engaging, unsystematic, limited in practical exercises and feedback, and do not optimally integrate technology or local wisdom, resulting in suboptimal development of students’ writing skills. Concerning needs, both teachers and students expressed a high demand for interactive, applicative, and contextual digital instructional materials, equipped with step-by-step guidance, authentic assessment, and adequate technical support to enhance the quality of scientific writing instruction in the digital era.
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