Claim Missing Document
Check
Articles

Found 12 Documents
Search

Strengthening Teacher Competence Through The Integration of Deep Learning Models and Galatama Activities at MAN Insan Cendekia Halmahera Barat Adiyana Adam; Kamarun M. Sebe; Azis Los’en; Hamzah Umasugi; Mardiani Masuku; Suhaiba Raudah Umasangaji
Media for Empowerment, Mobilization, and Innovation in Research & Community Vol. 1 No. 2 (2025): July-December
Publisher : Future Tecno-Science Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/ppwjn488

Abstract

This community service program aims to enhance teachers’ pedagogical, collaborative, and reflective competencies through the integration of the Deep Learning model and Galatama activities at MAN Insan Cendekia Halmahera Barat. The program employed the Participatory Action Research (PAR) approach, which consists of four stages: planning, acting, observing, and reflecting. Twenty subject teachers actively participated in the three-day workshop that included needs analysis, adaptive lesson plan design, and peer reflection sessions through Galatama. The results revealed significant improvement: 85% of teachers understood the concept of Deep Learning, 90% were able to design HOTS-based learning activities, and 95% reported increased confidence in classroom implementation. The program also fostered a reflective and collaborative culture among teachers while strengthening the spiritual and social values that characterize madrasah education. Therefore, the integration of Deep Learning and Galatama proved effective in shaping teachers as reflective practitioners in the era of digital educational transformation.
Improving Teacher Competence in Developing Love-Based Curriculum Teaching Tools through Artificial Intelligence-Assisted KKG at MIN 2 North Halmahera Adiyana Adam; Rosdiana Im; Kartini Limatahu; Irma Sapsuha; Azis Los'en; Erina Junaedi; Kamarun M Sebe
Socio-Economic and Humanistic Aspects for Township and Industry Vol. 4 No. 1 (2026): Socio-Economic and Humanistic Aspects for Township and Industry
Publisher : Tinta Emas Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/sehati.v4i1.640

Abstract

This study aims to analyze the improvement of teachers' competence in developing teaching materials for the Love-Based Curriculum through the activities of the Teacher Working Group assisted by Artificial Intelligence at MIN 2 North Halmahera. The study used a Classroom Action Research approach with a two-cycle design that includes the stages of planning, action implementation, observation, and reflection. Cycle I was positioned as a discovery mission to identify teachers' initial understanding and challenges in implementing the Love-Based Curriculum, while Cycle II functioned as an action change designed based on the results of the previous cycle's reflection. Data collection techniques included observation, interviews, and document analysis of teachers' teaching materials. Data were analyzed qualitatively through the processes of reduction, presentation, and drawing conclusions. The results showed that the activities of the Teacher Working Group assisted by Artificial Intelligence were able to significantly improve teachers' pedagogical competence. This improvement was evident in the shift in the practice of preparing teaching materials from administrative and declarative to a more operational, reflective learning design, and oriented towards the internalization of human values. Teachers demonstrated better abilities in integrating learning objectives, reflective activities, and holistic assessments in accordance with the principles of the Love-Based Curriculum. In addition, Artificial Intelligence was utilized more critically as a cognitive partner in learning planning. This study concludes that the synergy between the Love-Based Curriculum value framework, the teacher professional community, and the use of artificial intelligence technology plays a crucial role in teacher professional development in madrasah.