Needs Analysis of PBL-Deep Learning Module Integrating Batik Ciprat Local Wisdom
Umul Muslimah (a*), Daru Wahyuningsih (a), Lita Rahmasari (a)

a) Physics Education, Universitas Sebelas Maret Jalan Ir. Sutami No. 36A, Surakarta 57126, Indonesia

Abstract

Low critical thinking skills and the high prevalence of students misconceptions in heat and temperature topics became one of the problems that indicated the need for the development of a physics learning module. This study aimed to to investigate the developmental needs of a problem-based learning (PBL)-deep learning module integrating batik ciprat local wisdom specifically in heat and temperature. This study used a descriptive quantitative approach with purposive sampling techniques, involving 16 physics teachers and 89 senior high school students in Wonogiri, Indonesia. The research data were collected through questionnaires to identify teachers needs and students characteristics. Findings indicate that 76% of teachers struggle with implementing deep learning approaches, while 92% believe problem-based learning effectively fosters critical thinking and collaboration. Additionally, 93% of teachers require a structured contextual module on heat and temperature, and 95% are convinced that integrating Batik Ciprat strengthens these competencies. From the student perspective, 78% find heat and temperature engaging, 89% show greater interest in physics when connected to Batik Ciprat cultural practices, and 83% prefer collaborative group learning for problem-solving. These findings confirm that developing a PBL-deep learning module integrated with Batik Ciprat local wisdom is strongly needed to support more meaningful physics instruction, ultimately advancing students critical thinking abilities and collaborative skills.

Keywords: Deep learning- Learning module- Local wisdom- Problem-based learning

Topic: Physics Education