Dany Wijaya Kesuma
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Conducting Hybrid Training for Teacher Professionalism at SMP Wahid Hasyim Malang Zahid Zufar At Thaariq; Reno Nurdiyanto; Ummul Karima; Chatur Erisa Putri; Doni Anggoro Dwi Wahyu Utomo; Dany Wijaya Kesuma; Dedi Kuswandi
Journal of Community Practice and Social Welfare Vol. 3 No. 2 (2023): Journal of Community Practice and Social Welfare
Publisher : LPPM Universitas Ma Chung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/jacips.2023.3.2.1-11

Abstract

This article presents an explanation of the implementation of hybrid training as a form of teacher professional development at Wahid Hasyim Junior High School in Malang. Hybrid training is a pedagogical approach that combines online and face-to-face learning to improve the quality of education and teachers' abilities. This programme is implemented with stages (1) pre-implementation, (2) implementation and (3) post-implementation. The pre-implementation stage is passed by preparing all aspects needed. The implementation stage includes the training process which is conducted online but participants follow it simultaneously in one room. The post-implementation stage is carried out through reflections from the training instructor during the activity. This mode of training is expected to provide opportunities for teachers to explore their learning experiences widely through the application of online learning as exemplified in this training programme.
Mapping Students' Artificial Intelligence Usage Profiles in Computer Programming Courses: A Quantitative Descriptive Study Yerry Soepriyanto; Henry Praherdhiono; Agus Wedi; Made Duananda Kartika Degeng; Asrofi Asrofi; Dany Wijaya Kesuma
Proceedings Series of Educational Studies 2026: International Conference on Educational Management and Technology (5th ICEMT 2026)
Publisher : Universitas Negeri Malang

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Abstract

The advent of artificial intelligence (AI) has transformed the way students learn programming in recent years; however, a clear picture of how this technology is actually used on a day-to-day basis has rarely been systematically mapped. This study aims to map the artificial intelligence usage profiles of undergraduate students in Educational Technology within the Visual Programming course. A quantitative descriptive method was employed, involving 172 students as respondents. Data were collected via a 23-item Likert-scale questionnaire (1–5), and subsequently categorised using Azwar’s formula to determine low, moderate and high levels of usage. The results indicate that ChatGPT is the most widely used AI tool amongst students, accounting for 76.2% of respondents. Students use AI intensively, primarily to deepen their understanding of concepts they have not yet grasped, rather than merely to complete tasks instantly. Overall, students exhibited a high-category AI usage profile, with 77.3% of all research subjects falling into this category. These findings suggest that students do not merely use AI passively, but rather utilise it as an active and reflective learning companion; this can therefore serve as a basis for universities to formulate more targeted AI integration policies within their visual programming.