The Impact of renewable energy learning cycle 5E integrated STEM-EDP to improve students’ entrepreneurial thinking

Authors

DOI:

https://doi.org/10.12928/jrkpf.v13i2.2385

Keywords:

Entrepreneurial Thinking, Deep Learning, Learning Cycle 5E, STEM-EDP

Abstract

The purpose of this study is to determine how well the 5E Learning Cycle model, when combined with STEM-EDP and deep learning principles, may improve students' entrepreneurial thinking when learning about renewable energy. The study employed a quasi-experimental design with a nonequivalent control group at a public senior high school in East Lampung Regency, involving 60 students divided equally into experimental and control classes. Data were collected using essay tests. The experimental class obtained a higher average N-Gain score (0.67) than the control class (0.56). ANCOVA results indicated a statistically significant difference between the classes after controlling for pretest scores, F(1, 57) = 23.831, p < .001, with a partial eta squared (η²p) of 0.295. These findings indicate that integrating the 5E Learning Cycle model with STEM-EDP and deep learning principles can effectively enhance students’ entrepreneurial thinking through renewable energy projects involving problem identification, solution design, prototype development, testing, and evaluation.

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Published

2026-10-31

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Articles