Needs Analysis for Developing a Local Wisdom-Based Deep Learning E-Module on Climate Change to Facilitate Students' Critical Thinking Skills

Abstract

Critical thinking is one of the essential competencies in 21st-century physics learning. However, preliminary observations indicate that students’ critical thinking skills remain low, while existing learning materials have not optimally facilitated deep learning or integrated local wisdom into physics learning. Therefore, this study aimed to analyze the need for developing a deep learning-based e-module integrated with local wisdom and assisted by Canva AI to facilitate students’ critical thinking skills on climate change material. This study employed a quantitative descriptive method involving 31 students of Grade XI at SMAN 9 Sijunjung. Data were collected through critical thinking tests, questionnaires, interviews, and document analysis. The results showed that students’ critical thinking skills were still low, with an average score of 37.5%. In addition, existing learning materials had not adequately supported critical thinking, deep learning, or the integration of local wisdom, while students expressed the need for more interactive digital learning materials. These findings indicate the necessity of developing a deep learning-based e-module integrated with local wisdom and assisted by Canva AI to support students’ critical thinking skills and create more meaningful physics learning.