Developing a Module for Enhancing Computational Skills and STEM Education for Vocational Students in the 21st Century through Digital Agriculture-Based Learning

This research aims to develop and evaluate a learning module integrating Computational Skills with STEM Education for vocational students, specifically focusing on the application of drone technology in digital agriculture. The study employed a Randomized Control Trial (RCT) design to compare the learning outcomes and satisfaction levels between students using the developed learning module and those taught through traditional methods. The sample consisted of 60 first-year vocational students divided into experimental and control groups. The experimental group learned through the Computational Skills and STEM Education module, while the control group was taught using conventional teaching methods. Data collection involved pre-and post-tests, observations, and in-depth interviews. The results revealed that students who engaged with the Computational Skills and STEM Education module achieved significantly higher learning outcomes than those in the traditional teaching group (p < 0.05). Additionally, the students expressed high satisfaction with the learning experience (x = 4.67, S = 0.51), particularly in the teaching methods rated as very good. The research concludes that the developed learning module effectively enhances students learning outcomes and satisfaction. Integrating computational skills with STEM education demonstrates a strong potential for developing essential skills for 21st-century students, particularly in the context of digital agriculture. The study suggests further application of this module in related curricula and developing online educational resources to increase accessibility and diversity in learning.