An Adaptive STEAM Learning Model in Early Childhood and Primary Education: Enhancing Numeracy and Scientific Reasoning across Mathematics, Science, and Chemistry Domains

Abstract

This study examines the effectiveness of an adaptive STEAM (Science, Technology, Engineering, Arts, and Mathematics) approach in improving numeracy and scientific reasoning among students in early and primary education. The increasing need for interdisciplinary and flexible learning models highlights the importance of integrating adaptive strategies into STEAM to support diverse learner needs. This research employs a quasi-experimental mixed-methods design with a non-equivalent control group. Data were collected through pre-test and post-test instruments, observations, questionnaires, interviews, and documentation, involving both experimental and control groups. Quantitative data were analyzed using descriptive and inferential statistics, while qualitative data were examined through thematic analysis. The results indicate that students exposed to the adaptive STEAM approach achieved significantly higher gains in numeracy and scientific reasoning compared to those in conventional learning environments. The findings suggest that adaptive STEAM enhances students’ engagement, problem-solving skills, and conceptual understanding through contextual, interdisciplinary, and student-centered learning experiences. Furthermore, the integration of adaptive elements supports differentiated instruction and promotes meaningful learning. In conclusion, the adaptive STEAM approach is an effective and innovative model for fostering numeracy and scientific reasoning in early and primary education. It offers a flexible framework that accommodates diverse learning needs and contributes to holistic cognitive development