Digital Environmental Literacy for Sustainable Development: Integrating Artificial Intelligence, Electronic Engineering, and English Studies
DOI:
https://doi.org/10.38043/natapalemahan.v3i1.7828Keywords:
Digital environmental literacy, sustainable development, artificial intelligence, electronic engineering, English language teaching, ecolinguistics, interdisciplinary educationAbstract
The escalating pace of environmental degradation, coupled with the equally rapid diffusion of digital technologies, has created an urgent need for a form of literacy that binds ecological awareness to technological fluency. This paper argues that digital environmental literacy (DEL) cannot be cultivated within a single discipline; rather, it emerges at the intersection of artificial intelligence (AI), electronic engineering, and English studies. Drawing on an integrative review of recent scholarship across these three fields, the paper develops a conceptual framework in which AI supplies the analytical and predictive tools for interpreting environmental data, electronic engineering supplies the sensing and communication infrastructure through which that data is captured, and English studies understood broadly as language pedagogy, discourse analysis, and ecolinguistics supplies the communicative competence needed to translate technical findings into public understanding and civic action. The paper reviews evidence from environmental education, AI-integrated engineering curricula, green and sustainable electronics, and eco-critical approaches to English language teaching, and it proposes a three-layer model technological, cognitive, and communicative for embedding DEL into higher-education curricula. Implications for curriculum designers, engineering educators, and language teachers are discussed, along with limitations and directions for future empirical research.
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