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Next-Gen Vocabulary Tools: How Chatbots Elevate Technical English for Computer Science Students Alfian, Heri; Putra, Eko; A. Bohang, Muthmainnah Bahri; Mustari, Sri Hariati; Pratiwi, Alifiah
BRILIANT: Jurnal Riset dan Konseptual Vol 10 No 4 (2025): Volume 10 Nomor 4, November 2025
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v10i4.2367

Abstract

This study examined how well chatbot-enhanced training can help computer science students understand technical vocabulary. Semi-structured interviews were combined with a pre-test and post-test design as part of a mixed-methods strategy. With a substantial effect size (Cohen's d = 1.59) and a mean increase of 12.7%, quantitative data showed a statistically significant improvement in vocabulary scores, suggesting major practical implications. A thematic analysis of qualitative responses identified three main themes: usability limits, motivation and involvement, and perceived benefits. Students commended the chatbot's ability to offer real-time, contextual feedback and promoted deeper learning by using examples that are interwoven with coding situations. The conversational tone, individualized contact, and emotional engagement of the chatbot were credited with increasing motivation. However, some students pointed up issues including repeating outputs, overuse of synonyms, and complex instances, highlighting the necessity of adaptive content calibration. These results demonstrated that, with careful integration, AI-powered chatbots can function as efficient, customized vocabulary instructors; nevertheless, wider adoption will require enhancements to content delivery systems.
Empowerment Of Msmes In Hakatutobu Village Through Artificial Intelligence-Based Digital Marketing Training Khartha, Aqzhariady; Alfian, Heri; A. Bohang, Muthmainnah Bahri; Dakka, Litha Nesidekawati; Wirawati, Nur; Nasir, Syarif Hidayat; Marhamah, Marhamah; Putra, Eko
TRANSFORMASI : JURNAL PENGABDIAN PADA MASYARAKAT Vol 6, No 1 (2026): April
Publisher : UNIVERSITAS MUHAMMADIYAH MATARAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/transformasi.v6i1.39265

Abstract

This community service aimed to empower seafood processing Micro, Small, and Medium Enterprises (MSMEs) in Hakatutobu Village through digital marketing training and the utilization of Artificial Intelligence (AI). The lack of digital marketing skills and technological limitations were the main obstacles faced by partners in expanding market reach. The method employed was Participatory Action Research (PAR) combined with hands-on training for 25 participants. The core material focused on AI prompting literacy to generate effective copywriting and promotional designs. Success was measured by comparing pre-test and post-test scores and paired sample t-test. Quantitative results showed an average increase in participants' understanding of 55% (from 50.0 to 77.5), which was proven statistically significant (p < 0.001). Qualitatively, participants were able to produce their first digital promotional content. The evaluation instrument comprised 20 items assessing five digital marketing competency indicators, with face validity confirmed by expert review. The PAR approach engaged partners iteratively through planning–action–reflection cycles rather than one-way training. These findings indicate that the AI-based hands-on intervention produced a statistically significant and practically meaningful improvement in MSMEs’ digital marketing competence, enabling local processed seafood products to reach a broader market.