Elihami Elihami
Universiti Muhammadiyah Malaysia, Malaysia

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INTEGRATING ECOLOGICAL LITERACY IN INDONESIAN LANGUAGE LEARNING TO PROMOTE ENVIRONMENTAL BEHAVIOR Dedi Setiawan; Rahmat Rahmat; Ismail ismail; Elihami Elihami
Jurnal Cakrawala Pendas Vol. 12 No. 2 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jcp.v12i2.17824

Abstract

The increasing complexity of environmental problems requires learning approaches that connect knowledge, literacy skills, and responsible environmental behavior. However, classroom practices often remain focused on cognitive achievement and have not sufficiently linked language learning with students’ real-life ecological actions. This study aimed to examine the integration of ecological literacy in Indonesian language and literature learning to improve students’ literacy skills and promote pro-environmental behavior. The study employed a quantitative approach with a pre-experimental one-group pretest-posttest design involving 30 fourth-grade students at a resource-limited primary school in Enrekang Regency, Indonesia. Data were collected through reading comprehension tests, essay writing tests, ecoliteracy questionnaires, classroom observations, document analysis, and teacher interviews. The intervention integrated ecological values into reading, writing, and literary activities through Project-Based Learning, Problem-Based Learning, and Experiential Learning. The results showed that students’ reading comprehension increased from 4.80 to 6.87, with a significant improvement based on the Wilcoxon signed-rank test (p < .001; r = 0.92). Students’ essay writing skills also improved from 11.23 to 15.73, with a significant difference based on the paired-sample t-test, t(29) = 18.15, p < .001, dz = 3.31. Classroom observations further indicated increased ecological awareness and participation in school-based environmental practices. These findings suggest that ecoliteracy-based Indonesian language and literature learning can create meaningful, contextual, and action-oriented learning experiences that support both literacy development and pro-environmental behavior.
Deep Learning-Assisted Feedback in Academic Writing: Effects on EFL Students’ Revision Skills Umiyati Jabri; Elihami Elihami; Ita Sarmita Samad; Ismail Ismail
Majesty Journal Vol. 8 No. 1 (2026): Technology Mediated Langauge Learning, Teaching and Assessment
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/majesty.v8i1.44

Abstract

Background: The increasing use of artificial intelligence in higher education has expanded the role of deep learning-assisted feedback in academic writing instruction, particularly in EFL contexts. Although prior studies have shown its potential to improve writing performance, limited research has examined how such feedback influences revision skills through student engagement and digital literacy, especially in regional higher education settings. Purpose: This study investigated the effect of deep learning-assisted feedback on EFL students’ revision skills in academic writing, the revision types most influenced by the feedback, and its contribution to the improvement of writing quality. Methods: A quantitative correlational design was employed involving 22 undergraduate students in an academic writing course at Universitas Muhammadiyah Enrekang, Indonesia. Data were collected through questionnaires, revision coding of students’ drafts, and writing quality scores before and after revision. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), supported by descriptive statistics of revision types and writing improvement. Results: The findings showed that deep learning-assisted feedback had a positive and significant direct effect on revision skills and an indirect effect through student engagement. Digital literacy also strengthened the relationship between feedback and engagement. Surface-level revision was the most frequent type of revision, followed by meaning-level and structural revision. In addition, students’ writing quality improved substantially after the revision process, as indicated by the increase from a mean pre-revision score of 64.64 to a mean post-revision score of 84.00. Conclusion: Deep learning-assisted feedback contributed positively to EFL students’ revision skills and writing quality. Its effectiveness was enhanced by student engagement and digital literacy, suggesting that AI-assisted feedback can function as a meaningful pedagogical support in academic writing, particularly in emerging regional higher education contexts.