Comprehensive mentoring in developing Deep Learning-based instructional materials for public junior high school mathematics teachers
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Resumo
Teachers of the MGMP Mathematics at Public Junior High Schools in the Western Region of Jember Regency experience difficulties in developing Deep Learning-based instructional materials. This mentoring program aims to describe teachers’ challenges, formulate mentoring strategies, and explain the outcomes of the implemented strategies. The community service method involved preparation, planning, coordination, implementation, reflection, evaluation, and follow-up. Data were collected through interviews, observations, questionnaires, and documentation. Data analysis employed Miles and Huberman model, including comprising data reduction, data display, conclusion drawing and verification, assisted by NVivo 12 software. The primary challenges involved adapting to changes in Merdeka Curriculum instructional materials and the limited availability of continuous mentoring. Mentoring strategy based on participatory action research was implemented over three meetings. The results demonstrate improvements in teachers’ understanding and skills in developing in-depth learning plans, ability to utilize AI technology, strengthened collaboration and commitment among teachers to implement in-depth learning plans, and the establishment of mentor schools for further mentoring. Thus, this mentoring program plays a role in supporting SDG 4 (Quality Education) by enhancing teachers’ professional competencies and implementing a sustainable mentoring model to support the implementation of the Merdeka Curriculum through a Deep Learning approach.
Dados da obra
- Tipo
- Artigo
- Periódico
- Journal of Community Service and Empowerment, v. 7, n. 2
- Editora
- Universitas Muhammadiyah Malang
- Ano
- 2026
- Idioma
- id
- Palavras-chave
- Deep Learning; Instructional Materials; Merdeka Curriculum
- Temas
- Currículo, Tecnologias Digitais
- DOI
- 10.22219/jcse.v7i2.43934
- ISSN
- 2722-4244, 2722-5291
- Acesso
- Acesso aberto
- Fontes
- DOAJ — Directory of Open Access Journals
- Na Biblioteca desde
- 01/10/2026 · verificada em 03/10/2026
Como citar
ABNT
FARIHAH, Umi et al.. Comprehensive mentoring in developing Deep Learning-based instructional materials for public junior high school mathematics teachers. Journal of Community Service and Empowerment, v. 7, n. 2, 2026. DOI: https://doi.org/10.22219/jcse.v7i2.43934.
APA
Farihah, U., Kholil, M., Munawwaroh, S. K., Tamim, F., & Prayogo, M. S. (2026). Comprehensive mentoring in developing Deep Learning-based instructional materials for public junior high school mathematics teachers. Journal of Community Service and Empowerment, 7(2). https://doi.org/10.22219/jcse.v7i2.43934
BibTeX
@article{farihah2026,
author = {Farihah, Umi and Kholil, Mohammad and Munawwaroh, Siti Khikmatul and Tamim, Faishal and Prayogo, Muhammad Suwignyo},
title = {Comprehensive mentoring in developing Deep Learning-based instructional materials for public junior high school mathematics teachers},
year = {2026},
journal = {Journal of Community Service and Empowerment},
volume = {7},
number = {2},
publisher = {Universitas Muhammadiyah Malang},
doi = {10.22219/jcse.v7i2.43934},
language = {id}
}RIS
TY - JOUR AU - Farihah, Umi AU - Kholil, Mohammad AU - Munawwaroh, Siti Khikmatul AU - Tamim, Faishal AU - Prayogo, Muhammad Suwignyo TI - Comprehensive mentoring in developing Deep Learning-based instructional materials for public junior high school mathematics teachers PY - 2026 JO - Journal of Community Service and Empowerment VL - 7 IS - 2 DO - 10.22219/jcse.v7i2.43934 LA - id ER -
Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS
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