AI integration in Literacy in Indonesian Language Education Literature
A Review Systematic and Digital Ethnopedagogy Model
Abstract
This study aims to analyze the trend of Artificial Intelligence (AI) utilization in Indonesian Language and Literature learning and formulate an AI-based Digital Ethnopedagogy model that is contextualized with local cultural values. The research background is based on the increasing adoption of generative AI in education, which demands a pedagogical framework that is not only technologically adaptive but also critical and ethical. This study uses the Systematic Literature Review (SLR) method with reference to the PRISMA guidelines to select and synthesize relevant articles related to AI and language learning. The selection process is carried out through the stages of identification, screening, eligibility, and inclusion based on thematic relevance and publication quality criteria. The results of the study indicate that AI contributes to improving digital literacy, literary creativity, and critical thinking skills, but also presents ethical challenges, potential dependency, and the risk of reducing originality. Based on the synthesis of findings, an AI-based Digital Ethnopedagogy model is formulated that integrates technological, cognitive-critical, creative, academic ethics, and local cultural context dimensions as the foundation of learning. This model emphasizes that AI needs to be positioned as a collaborative tool that strengthens reflection and the production of meaning, not as a substitute for the role of educators. This study recommends further empirical testing to measure the effectiveness of the model at various levels of education to strengthen its conceptual and implementative validity.
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