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Boosting Learning Through AI in STEM for Socioeconomic Development in Emerging Economies
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Author(s): María E. Raygoza L. (Universidad Autónoma de Baja California, Mexico), Jesús Heriberto Orduño-Osuna (Universidad Politécnica de Baja California, Mexico), Gabriel Trujillo Hernández (Universidad Politécnica de Baja California, Mexico), Diego Ramon Bonilla G. (Universidad Autónoma de Baja California, Mexico), Abelardo Mercado (Universidad Politécnica de Baja California, Mexico)and Fabian N. Murrieta-Rico (Universidad Politécnica de Baja California, Mexico)
Copyright: 2025
Pages: 30
Source title:
Transformative Approaches to STEAM Integration in Modern Education
Source Author(s)/Editor(s): Santosh Kumar Behera (Kazi Nazrul University, India), Ali Sorayyaei Azar (University of Malaya, Malaysia), Samantha Curle (University of Bath, UK)and Jeanette Gaoat Dials (Mariano Marcos State University, Philippines)
DOI: 10.4018/979-8-3693-7408-5.ch021
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Abstract
This chapter explores the transformative potential of artificial intelligence (AI) in STEM education, focusing on its role as a driver of socioeconomic development in emerging economies. By integrating AI with STEM disciplines, educational processes can be optimized, personalized, and made more inclusive, thereby reducing educational gaps and preparing future generations to face global challenges. From a psychological perspective, the chapter examines how AI enhances learning and memory, contributing to deeper cognitive engagement. It also addresses the challenges of AI implementation, including technological, economic, and ethical barriers, highlighting the importance of public policies that promote equitable and sustainable growth, the challenges and opportunities in R&D projects, and how the development of emerging economies requires further exploration of AI's potential to innovate in STEM fields and its broader implications for socioeconomic development.
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