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Integrating Multimedia Presentations to Enhance Linguistic and Digital Literacy in Higher Education Mustakim Mustakim; Sri Rosmiana; Ismail Ismail
Majesty Journal Vol. 6 No. 1 (2024): Majesty: English Education
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/majesty.v6i1.39

Abstract

The digital era has transformed education, making linguistic and digital literacy essential skills for success. This study aimed to evaluate the impact of multimedia presentations on these literacies within the English Education Program at Universitas Muhammadiyah Enrekang. Using a mixed-methods approach, the research measured improvements in students' skills through pre-test and post-test assessments, multimedia artifact evaluations, reflective journal entries, and lecturer observations. The results revealed significant enhancements in both linguistic and digital literacy, with students demonstrating improved language use and technical proficiency. Thematic analysis of journal entries highlighted skill development and challenges, emphasizing the importance of a supportive learning environment. Lecturer observations confirmed high levels of engagement and collaboration. The study underscores the need for innovative pedagogical frameworks and professional development for educators to effectively integrate multimedia tools. These findings contribute to the existing knowledge by demonstrating the potential of multimedia presentations to enhance educational outcomes and prepare students for the demands of the modern world. Future research should explore the long-term effects of multimedia tools on literacy development and consider cultural factors in educational strategies.
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.
Co-Authors Abdul Haling Abdul Haling Al As'ary, Muawal Alfrida, Muthmainnah Aminullah Aminullah Arismunandar Asbar Asbar Asbar Asbar Asbar Asbar Asbar Asbar, Asbar Assidiq, Ilham Beta, Nurlatifa Dedi Setiawan Dian Firdiani Djafar, Suarti Eka Wahyuni Eka Wahyuni Elihami Elihami ELIHAMI, ELIHAMI Elihamid Elihamid Erza Delfira Fatmawati Fatmawati Fatmawati, Fatmawati Fitriyani, Fitriyani Handayani Sura' Handayani Sura’ Haryanti Rukmana Saharuddin Hasan Hasan Hasan Hasan Hasan Hasan Hasrijah Hasrijah Idam Khalid Imam Akbar, Imam Ismaya Ismaya Ita Sarmita Samad Ita Sarmita Samad Ita Sarmita Samad Ita Sarmita Samad Ita Sarmita Samad, Ita Sarmita Jabri, Umiyati Khalid, Muh. Idham Lutfi Wibawa M. Yunus Sudirman Mahyuddin, Muhammad Junaedi Masnur Masnur Masnur Masnur Mowafg Abrahem Masuwd Muawal Al As'ary Musdalifah Musdalifah Musdalifah Musdalifah Musdalifah Musdalifah Mustakim Mustakim Mustakim Mustakim Mustakim Mustakim Mutmainna Muinuddin M. Dyah Mutmainnah M. Dyah Muwafiq Ibrahim Mas’ud Nadar Nadar Nikita Pramudia Nurlela Baco Nurwahida Nurwahida Nurwahida Nurwahida, Nurwahida Pajarianto, Hadi Puji Yanti Fauziah Putriyani S Rahmat Rahmat Rahmat Rahmat Rahmat Ramadhan Ramadhan Rosmiana, Sri Rosni Rosni Rosni, Rosni S, Putriyani Saidang Saidang Setiawan, Ahmad Fajrin Sheerly Sheerly Sitonda, Syawal Sri Rosmiana Suarti Djafar Sunarti Suparman Suparman Syarif, Irman Syawal Sitonda Tini Tini Tini Tini Tini Tini Tini, Tini Ukkas Ukkas Ukkas, Ukkas Umiyati jabri Umiyati Jabri Wisnah Syari Wiwi Widiawati Yunus Busa Yunus Busa Yuspa Kurnia