Developing KALOAS: a local wisdom-based learning model for science and social skills

Authors

  • Maghfira Febriana Universitas Islam Negeri Prof. KH. Saifuddin Zuhri Purwokerto, Jawa Tengah, Indonesia Author
  • Siti Sarah Universitas Islam Negeri Prof. KH. Saifuddin Zuhri Purwokerto, Jawa Tengah, Indonesia Author
  • Donny Khoirul Azis Universitas Islam Negeri Prof. KH. Saifuddin Zuhri Purwokerto, Jawa Tengah, Indonesia Author

DOI:

https://doi.org/10.65881/innovation.v1i2.101

Keywords:

learning model, local wisdom, ipas, science process skills, social skills

Abstract

Purpose: to develop the KALOAS (kearifan lokal untuk optimalisasi aktivitas sains dan sosial “local wisdom-based science and social learning”) model for IPAS learning in Madrasah Ibtidaiyah, designed to integrate science process skills and social skills through local wisdom-based learning activities.

Method: this study used a qualitative descriptive method, adapted from the first three stages of Gall’s et al. R&D model: information gathering, model design, and preliminary product development. The outcome was an initial prototype of the KALOAS learning model for IPAS learning.

Findings: the KALOAS model was developed as a local wisdom-based IPAS learning model consisting of eight instructional stages. The model was designed to integrate science process and social skills through contextual learning activities grounded in local wisdom.

Implications: the KALOAS model provides a contextual learning framework that helps teachers integrate science, social, and local cultural aspects in IPAS learning.

Originality: lies in the development of the KALOAS model, which integrates local wisdom-based learning with science process skills and social skills development in IPAS learning, providing a new framework for contextual and culturally relevant elementary education.

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Published

27-06-2026

How to Cite

Developing KALOAS: a local wisdom-based learning model for science and social skills. (2026). INNOVATION: Journal of Education and Learning, 1(2), 101-113. https://doi.org/10.65881/innovation.v1i2.101

Abstract views: 35 | PDF downloads: 20

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