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All Journal EJHEAA Education and Sociedad Journal
Nur Faizah
Sekolah Tinggi Agama Islam Al-Muntahy
Religion Education Physics Social Sciences Other

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EFFECTIVITY OF SUPERVISION THEORY IN THE DEVELOPMENT OF EDUCATION Nur Faizah; Sutiah Sutiah; Moh Muksit
Journal of Higher Education and Academic Advancement Vol. 1 No. 7 (2024): Journal of Higher Education and Academic Advancement
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ejheaa.v1i7.718

Abstract

This study aims to explore the factors that influence the effectiveness of supervision in education, focusing on various theories of supervision such as clinical, formal, reflective, and transformational supervision. Using a qualitative research design with a case study approach, data were collected through in-depth interviews, participant observation, and document analysis in several schools. Thematic analysis was used to identify the main themes from the data obtained. The results of the study indicate that the effectiveness of supervision is influenced by the quality of communication between supervisors and teachers, a clear understanding of the purpose of supervision, and the competence of supervisors in providing constructive feedback. A supportive school context and culture are also very important for teacher professional development. A supervision approach that is tailored to the specific needs of schools and teachers has been shown to be effective in improving the quality of teaching and student learning outcomes. The implications of this study emphasize the importance of a holistic approach to supervision to achieve overall improvements in the quality of education. Recommendations for further research include longitudinal studies and exploration of the use of technology in supervision to support further teacher professional development.
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 Ja’far Shodiq Moh Muksit Sutiah