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Analisis Komparatif Pendekatan Behavioristik dan Konstruktivisme Sosial dalam Pembentukan Akhlak: Perspektif Neurosains Kognitif Islam: Comparative Analysis of Behavioristic Approaches and Social Constructivism in the Formation of Morals: Islamic Cognitive Neuroscience Perspective Hisyam Syafii; Halim Purnomo
TARBIYAH: Jurnal Pendidikan dan Pembelajaran Vol. 1 No. 2 (2024): TARBIYAH: Jurnal Pendidikan dan Pembelajaran
Publisher : Litera Academica Publishing

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Abstract

This research aims to compare the effectiveness of behavioristic and social constructivist approaches in the formation of morals from an Islamic cognitive neuroscience perspective. The method used is library research on various related literature, including research on behavioristic theory, social constructivism, and cognitive neuroscience in Islamic education. Data were collected from academic journals and relevant Islamic studies databases. The research results show that the behavioristic approach is effective in shaping behavior through external reinforcement, while social constructivism encourages the internalization of moral values ​​through social interaction. The integration of Islamic cognitive neuroscience insights provides a more comprehensive understanding of how the brain processes and internalizes moral values. In conclusion, the combination of these two approaches, supported by a neuroscientific perspective, produces a deeper and more flexible moral formation process in the context of modern Islamic education.
Artificial Intelligence Introduction Assistance for Children in Karangsari Village, Sapuran District, Wonosobo Regency Halim Purnomo; Hisyam Syafii
Bersama : Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2025): Bersama : Jurnal Pengabdian Masyarakat
Publisher : CV. Doki Course and Training

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61994/bersama.v3i2.929

Abstract

This program aims to improve children's digital literacy in Karangsari Village, Sapuran District, Wonosobo Regency, through basic introduction to Artificial Intelligence (AI) to bridge the digital divide between urban and rural areas which was carried out on January 28-29, 2025. The methods used include the preparation, implementation, and evaluation stages, with a participatory approach that includes socialization, interactive training, and direct assistance. Evaluation is carried out through observation, interviews, questionnaires, and simple tests to measure participants' understanding and skills. The results show a significant increase in understanding basic AI concepts and the ability to apply AI-based technology, as well as strengthening soft skills such as cooperation and critical thinking. However, there are several obstacles faced, such as limited technological devices, unstable internet access, and differences in participants' levels of understanding, so further strategies are needed in providing supporting infrastructure and more inclusive and adaptive learning methods.