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All Journal Dikdimas : Jurnal Pengabdian Kepada Masyarakat
Agus Riyanto
STIKES Bhakti Husada, Bengkulu
Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Nursing Social Sciences

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Integrating Artificial Intelligence in Community Service: A Training in Developing Interactive Learning Media for Educators in the Physics Education Study Program at Universitas Bengkulu Yupika Maryansyah; Agus Riyanto; Tiara Hardyanti Utama; Netriani Veminsyah Ahda; Haditya Aprita Lora; Ladia Lestari
DIKDIMAS : Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 3 (2025): DIKDIMAS : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Asosiasi Profesi Multimedia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/dikdimas.v4i3.538

Abstract

Background: The rapid growth of educational technology demands teachers’ abilities to integrate AI into learning practices. Yet, many educators still struggle to design interactive and constructive media aligned with pedagogical goals.Aims: The goal of this community service program was to empower lecturers, teachers, and students in Bengkulu University's Physics Education Study Program by developing interactive and constructive learning media that were integrated with AI. The activity was carried out using a participatory and collaborative training paradigm with four stages: preparation, implementation, mentorship, and evaluation.Methods: The methodology framework used a descriptive qualitative approach with pre-test and post-tests, observations, and participant reflections. Training materials were developed using the Technological Pedagogical Content Knowledge (TPACK) framework, which emphasizes the integration of pedagogical and technological skills. Participants took part in hands-on workshops where they designed physics learning media prototypes utilizing AI-based platforms like ChatGPT, Canva, and Genially.Results: The findings revealed a considerable boost in participants' competencies, with post-test scores improving by 35% on average. Qualitative data indicated high levels of satisfaction (96.4%) and considerable appreciation for the practical sessions and coaching. Participants showed improved proficiency in aligning AI-assisted technologies with constructivist learning concepts and ethical awareness. The program also built a digital community of practice to ensure sustainability and collaboration after the training term. Conclusions: The findings show that incorporating AI-based learning media into community service can effectively promote teacher creativity, digital competence, and responsible technology usage in a period of educational transition.
Utilization of Artificial Intelligence (AI) in Learning: In-House Training for Teachers at SMAN 3 Kota Bengkulu, Indonesia Eko Risdianto; Tri Basuki Kurniawan; Yupika Maryansyah; Agus Riyanto
DIKDIMAS : Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2025): DIKDIMAS : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Asosiasi Profesi Multimedia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/dikdimas.v4i1.379

Abstract

The In-House Training (IHT) for SMA 3 Bengkulu City teachers aims to improve teachers' skills in utilizing Artificial Intelligence (AI) technology in the learning process. Along with the rapid development of technology, especially in education, the application of AI is expected to enrich the teaching and learning experience and support learning effectiveness. This activity includes the introduction of AI for education, the usage of various AI tools in developing teaching modules, presentations, mind maps, learning videos, and assessments. This training involved more than 80 teachers from various subjects and was tutored by three instructors from Universitas Bengkulu, Universitas Muhammadiyah Bengkulu, and STIKES Bakti Husada Bengkulu. In addition, an evaluation of the quality of training was carried out through a questionnaire that measured respondents’ responses on materials, facilities, delivery, and application of AI in teaching. The results of the data analysis showed that the majority of participants were satisfied with the material provided, with the highest average score on an aspect of material attraction, namely 4.58. However, some areas that need improvement include the provided facilities and time for practice activities. The implication of these findings is the importance of improving training facilities and time so that teachers are better prepared to implement AI technology in learning. This training program has made a significant contribution in preparing teachers to deal with educational challenges in today's digital era.
Co-Authors Eko Risdianto Haditya Aprita Lora Ladia Lestari Netriani Veminsyah Ahda Tiara Hardyanti Utama Tri Basuki Kurniawan Yupika Maryansyah Yupika Maryansyah