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All Journal Jurnal Penelitian Pendidikan Indonesia Education and Sociedad Journal
Ja’far Shodiq
Sekolah Tinggi Agama Islam Al-Muntahy
Religion Education Physics Social Sciences Other

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Needs analysis for developing teacher leadership based gamified teaching materials to foster mental resilience in remote schools Mahin Ainun Naim; Sahrul Muzakki; Mutmainnah; Ja’far Shodiq
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol. 11 No. 3 (2025): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020256526

Abstract

This study aims to identify the needs for developing teacher leadership–based gamified teaching materials to strengthen students’ mental resilience in remote school settings. Employing a Research and Development (R&D) approach using the ADDIE model, the study focuses on the analysis phase as a preliminary investigation. A qualitative descriptive design was used, with data collected through classroom observations, analysis of instructional documents, and semi-structured interviews with teachers and students in five junior high schools in remote areas of Madura. The findings indicate that learning practices remain predominantly conventional and text-based, offering limited opportunities to foster student engagement and mental resilience. Although instructional documents meet curriculum standards, they lack visual, progressive, and challenge-oriented activities. Both teachers and students express a strong need for interactive learning media that support teacher leadership while enhancing students’ confidence, persistence, and psychological safety. These results highlight a significant gap between current instructional practices and the pedagogical requirements for developing students’ mental resilience, providing a strong foundation for the development of context-appropriate gamified teaching materials for remote schools.
The Influence of Machine Learning on the Student Learning Psychology in Industry 5.0 Iin Mutmainnah; Ja’far Shodiq; Nur Faizah
Education and Sociedad Journal Vol. 3 No. 1 (2025): January - June
Publisher : Al-Qalam Institue

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/edsojou.v1i2.635

Abstract

This study aims to examine how the application of a machine learning-based learning system to students' learning psychology. This study focuses on improving the quality of learning that not only pays attention to cognitive aspects, but also to students' emotional aspects that often affect their academic achievement. This study uses a qualitative approach with a descriptive research type to explore students' experiences in using a machine learning-based system in the learning process. Data collection techniques are carried out through interviews, observations, and documentation, with data analysis using the Miles and Huberman model. The results of the study indicate that the application of this system is effective in reducing academic anxiety (Academic Anxiety Reduction), increasing students' self-confidence through positive reinforcement (Increased self-confidence through positive reinforcement), and developing students' emotional resilience (Positive Resilience to Emotional Learning). The contribution of this study is to provide new insights into the role of technology, especially machine learning, in supporting the development of students' emotional intelligence which can ultimately improve their academic well-being.
Co-Authors Iin Mutmainnah Mahin Ainun Naim Mutmainnah Nur Faizah Sahrul Muzakki