Enhancing STEM Education through Integrated Data Science Pedagogy in Undergraduate Curricula
Year: 2025
Type: article
Abstract: This study explores the impact of integrating data science pedagogy into undergraduate STEM education, addressing a notable gap in current curricula. Through a mixed-methods approach, it examines both the structural design of existing programs and the outcomes associated with incorporating data-driven instruction. Findings reveal that embedding data science into STEM courses significantly enhances student engagement, critical thinking, and analytical skills. The study highlights how hands-on, interdisciplinary modules improve learning retention and prepare students for careers in increasingly data-intensive industries. By aligning academic training with real-world demands, this research advocates for a shift in educational practices that equips students with the competencies necessary for success in modern professional environments. The integration model presented offers a scalable framework for curricular reform, emphasizing the need for a future-ready STEM education system.
Authors: Dr Sanjay Agal, Amarjit Seal
Institution: Parul University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4411329088