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All Journal IJEE (Indonesian Journal of English Education) Darma Diksani: Jurnal Pengabdian Ilmu Pendidikan, Sosial, dan Humaniora
Sunoko Setyawan
University of Jember
Education Languange, Linguistic, Communication & Media Social Sciences Other

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Empowering Elementary School Teachers through AI and Deep Learning Training Based on Participatory Action Research: Pemberdayaan Guru Sekolah Dasar melalui Pelatihan AI dan Deep Learning Berbasis Participatory Action Research Sunoko Setyawan; Aan Erlyana Fardhani; Zakiyah Tasnim; Bea Hana Siswati
DARMADIKSANI Vol 5 No 4 (2025): Edisi Desember
Publisher : Jurusan Pendidikan Bahasa dan Seni, FKIP, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/darmadiksani.v5i4.8378

Abstract

This community service program aims to enhance elementary school teachers' technology literacy through training in artificial intelligence (AI) and deep learning technologies, conducted within the Teacher Working Group (KKG) Cluster 02, Rambipuji District, Jember Regency. The activities were carried out using a Participatory Action Research (PAR) approach, consisting of planning, action implementation, reflection, and evaluation stages. Evaluation results showed a significant improvement in participants' knowledge scores, with the average increasing from 51.1 (pre-test) to 81.8 (post-test). Participant engagement was also high, with over 85% of teachers attending all sessions and actively participating in discussions and hands-on practices. Classroom implementation reflections indicated that 80% of the teachers successfully attempted to create digital-based teaching media, although most still required further assistance. These outcomes demonstrate that the PAR approach, supported by practical modules and contextual mentoring, is effective in improving elementary school teachers’ technology literacy, while also promoting creative and adaptive learning in the digital era. This program can be recommended as a teacher empowerment model that is replicable in other regions with appropriate local contextual adjustments.
ASSESSING BUSINESS ENGLISH COMMUNICATION SKILLS THROUGH DIGITAL TASKS Sunoko Setyawan; Rizqi Febrian Pramudita; Vigo Dewangga
IJEE (Indonesian Journal of English Education) Vol. 13 No. 1 (2026): IJEE (INDONESIAN JOURNAL OF ENGLISH EDUCATION)| VOL. 13 | NO. 1 | 2026
Publisher : Syarif Hidayatullah State Islamic University of Jakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/ijee.v13i1.50509

Abstract

The increasing demand for workplace English communication has also increased the need for an evaluation method which is reflective of real professional communication. This research explored the use of digital task-based assessment (DTBA) to assess Business English (BE) communication competence in tertiary education. Based on a convergent mixed-method design, the research participants of the study consisted of 72 undergraduate students of a Business English class at an Indonesian university. Participants completed three digitally mediated assessment tasks: online business presentations, business email writing simulations and virtual meeting role-plays. Quantitative data was obtained by analytic performance rubrics, qualitative data from semi-structured interviews with 15 students. The results showed that students were best at performingtask completion (M = 4.21) and message clarity (M = 4.12), and that fluency (M = 3.88) and virtual meeting role-play performance (M = 3.87) were the most challenging aspects of communication. The results offer initial classroom-based indication that digital TBA (DTBA) can be used to evaluate Business English communication via work-related digital tasks. Indeed, students’ overall impressions of the tasks were that they were real, fun and something they would do in professional communication in the future. However, these results should be interpreted with caution, as the study was not designed to determine full assessment validity. Additional research with larger samples, multiple raters and further validation procedures is required to consolidate theevidence base.
Co-Authors Aan Erlyana Fardhani Bea Hana Siswati Rizqi Febrian Pramudita Vigo Dewangga Zakiyah Tasnim