Article Sidebar

Submitted
7 July 2025
Accepted
28 October 2025
Published
5 December 2025
Download
PDF
Statistic
Read Counter : 21

Downloads

Download data is not yet available.

Main Article Content

Abstract

Background: This community service activity aims to improve teacher competence in utilizing AI in the classroom learning evaluation process. The utilization of technology-based learning evaluation tools by Malang City Accounting MGMP teachers is still limited due to limited time in preparing technology-based evaluation tools and lack of access to practical training that is relevant to the accounting curriculum. Methods: The methods used include FGDs, preparation of activities and preparation of materials, training, and evaluation with participants totaling 15 accounting teachers in Malang City. Activities were carried out from April to June 2025. Results: The results of the training showed that 82.84% of participants responded positively to the ease, efficiency, and benefits of using AI technology in supporting the learning evaluation process. Participants felt motivated, comfortable and eager to apply the tools introduced. However, teachers' technical skills in using the technology still need strengthening. Conclusions: The success of this program is not only can be seen from the increase in participants' ability to develop technology-based learning evaluation tools, but also from changes in evaluation methods used by teachers to be more varied and adapt to technological developments.

Keywords

Learning Evaluation Artificial Intelligence Accounting Education Evaluasi Pembelajaran Kecerdasan Buatan Pendidikan Akuntansi

Article Details

License
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

© 2025 Oleh authors. Lisensi Jurnal SOLMA, LPPM-Uhamka, Jakarta. Artikel ini bersifat open access yang didistribusikan di bawah syarat dan ketentuan Creative Commons Attribution (CC BY) license. (http://creativecommons.org/licenses/by/4.0/).

How to Cite
Nanda, H. I., Miftakh, E. S., Febriani Putri, S., Wardoyo, C., Mustofa, M. I. A., & Zulfida, B. R. (2025). Pelatihan Pembuatan Alat Evaluasi Pembelajaran Akuntansi Berbasis AI dalam Mendukung Pencapaian SDGs . Jurnal SOLMA, 14(3), 4379–4389. https://doi.org/10.22236/solma.v14i3.19968
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Alwaely, S. A., El-Zeiny, M. E., Alqudah, H., Alamarnih, E. F. M., Salman, O. K. E. I., Halim, M., & Khasawneh, M. A. S. (2023). The Impact of Teacher Evaluation on Professional Development and Student Achievement. Revista de Gestao Social e Ambiental, 17(7), 1–11. https://doi.org/10.24857/rgsa.v17n7-022
  2. Andriani, A. E., Sulistyorini, S., Estiastuti, A., Kiptiyah, S. M., & Chayaningtyas, A. P. (2023). Utilization of Artificial Intelligence As Automatic Assessment To Imptove The Digital Literacy of Elementary School Theacher. Jurnal SOLMA, 12(3), 1602–1610. https://doi.org/10.22236/solma.v12i3.13053
  3. Arini, D., & Nursa’ban, M. (2024). Contribution of Artificial Intelligence (AI) in Education to Support the Achievement of Sustainable Development Goals (SDGs) 2030. Jurnal Penelitian Pendidikan IPA, 10(SpecialIssue), 39–45. https://doi.org/10.29303/jppipa.v10ispecialissue.8321
  4. Azzahro, T. A., & Subekti, F. E. (2022). Systematic Literature Review : Efektivitas Penggunaan Media Evaluasi Digital dalam Pembelajaran Matematika. Biormatika: Jurnal Ilmiah Fakultas Keguruan Dan Ilmu Pendidikan, 8(2), 207–213. https://doi.org/10.35569/biormatika.v8i2.1331
  5. Collins, L. M. (1996). Is reliability obsolete? A commentary on “are simple gain scores obsolete?” Applied Psychological Measurement, 20(3), 289–292. https://doi.org/10.1177/014662169602000308
  6. Dantes, N. (2023). Desain Eksperimen dan Data Analisis. PT. RajaGrafindo Persada - Rajawali Pers.
  7. Danu, A. K., Momang, H. D., Yuliantari, A. P., Sii, P., & Rampung, B. (2024). Pelatihan Penggunaan Aplikasi Multimedia Pembelajaran berbasis Artificial Intelligency (Ai) Guru SMK Elanus Ruteng. Jurnal SOLMA, 13(2), 907–920. https://doi.org/10.22236/solma.v13i2.14775
  8. Ermawati, D., Riswari, L. A., & Wijayanti, E. (2025). Penyusunan Instrumen Penilaian Digital Berbasis STEM melalui Aplikasi DIGASS oleh Guru Sekolah Dasar. Jurnal SOLMA, 14(1), 1109–1119. https://doi.org/10.22236/solma.v14i1.17570
  9. Fernández-Sánchez, A., Lorenzo-Castiñeiras, J. J., & Sánchez-Bello, A. (2025). Navigating the Future of Pedagogy: The Integration of AI Tools in Developing Educational Assessment Rubrics. European Journal of Education, 60(1). https://doi.org/10.1111/ejed.12826
  10. Hamid, S. M., Mannong, A. B. M., & Hambali, U. (2025). Pelatihan Pemanfaatan Artificial Intelligence (Ai) Untuk Guru Di Smk Widya Dirgantara. Jurnal SOLMA, 14(1), 541–549. https://doi.org/10.2236/solma.v14i1.17766
  11. Harefa, D., Sarumaha, M., Telaumbanua, K., Telaumbanua, T., Laia, B., & Hulu, F. (2023). Relationship Student Learning Interest To The Learning Outcomes of Natural Sciences. International Journal of Educational Research & Social Sciences, 4(2), 240–246. https://doi.org/10.51601/ijersc.v4i2.614
  12. Hu, J. (2021). Teaching Evaluation System by use of Machine Learning and Artificial Intelligence Methods. International Journal of Emerging Technologies in Learning, 16(5), 87–101. https://doi.org/10.3991/ijet.v16i05.20299
  13. Irvani, A. I., & Anisah, A. S. (2024). Rethinking Digital Literacy for K-12 Learners. Sinergi International Journal of Education, 4(2), 253–264. https://doi.org/10.61194/education.v2i4.701
  14. Kaffahasana, F. S., Septina, P. W., Wicaksono, P., Soraya, S. Z., & Najamudin, N. (2025). Peran Guru dalam Mengevaluasi Hasil Belajar Siswa melalui Nilai-Nilai Sosial dan Budaya. TAMADDUN: Jurnal Ilmu Sosial, Seni, dan Humaniora, 3(2), 78–84. https://doi.org/10.70115/tamaddun.v3i2.297
  15. Kolb, D. A. (1984). Experiential Learning: Experience as The Source of Learning and Development. Prentice Hall, Inc., 1984, 20–38. https://doi.org/10.1016/B978-0-7506-7223-8.50017-4
  16. Kurniawansyah, E., Fauzan, A., & Mustari, M. (2023). Peran Guru PPKn dalam Meningkatkan Motivasi Belajar Siswa di SMA Muhammadiyah Sumbawa. Jurnal Ilmiah Profesi Pendidikan, 8(2), 1175–1179. https://doi.org/10.29303/jipp.v8i2.1454
  17. Molina, E., & Medina, E. (2025). AI Revolution in Higher Education: What you need to know. AI Revolution in Higher Education: What You Need to Know. https://doi.org/10.1596/43298
  18. Oktaviana, D., Barizi, A., & Yaqin, M. Z. N. (2022). The Challenges of The Society 5.0 Era: The Evaluation of Learning in Primary Education. Al-Adzka: Jurnal Ilmiah Pendidikan Guru Madrasah Ibtidaiyah, 12(1), 10. https://doi.org/10.18592/aladzkapgmi.v12i1.5831
  19. Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing Education Through Ai: a Comprehensive Review of Enhancing Learning Experiences. International Journal of Applied Research in Social Sciences, 6(4), 589–607. https://doi.org/10.51594/ijarss.v6i4.1011
  20. Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8). https://doi.org/10.29333/ejmste/13428
  21. Rao, N. J., & Banerjee, S. (2023). Classroom assessment in higher education. Higher Education for the Future, 10(1), 11–30. https://doi.org/10.1177/23476311221143231
  22. Resti, R., Wati, R. A., Ma’Arif, S., & Syarifuddin, S. (2024). Pemanfaatan Media Pembelajaran Berbasis Teknologi sebagai Alat Untuk Meningkatkan Kemampuan Literasi Digital Siswa Sekolah Dasar. Al Madrasah Jurnal Pendidikan Madrasah Ibtidaiya, 8(3), 1145. https://doi.org/10.35931/am.v8i3.3563
  23. Saǧin, F. G., Özkaya, A. B., Tengiz, F., Geyik, Ö. G., & Geyik, C. (2023). Current evaluation and recommendations for the use of artificial intelligence tools in education. Turkish Journal of Biochemistry, 48(6), 620–625. https://doi.org/10.1515/tjb-2023-0254
  24. Tang, K. Y., Chang, C. Y., & Hwang, G. J. (2023). Trends in artificial intelligence-supported e-learning: a systematic review and co-citation network analysis (1998–2019). Interactive Learning Environments, 31(4), 2134–2152. https://doi.org/10.1080/10494820.2021.1875001

Most read articles by the same author(s)