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Education Divide and Technology: Can Artificial Intelligence Build More Equitable Learning?
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Author(s): Elena Fernández Gascueña (King Juan Carlos University, Spain), Enriqueta Villanueva-Montero (King Juan Carlos University, Spain)and María García de Blanes Sebastián (King Juan Carlos University, Spain)
Copyright: 2026
Pages: 32
Source title:
Innovation and Sustainability in Electric and Autonomous Mobility
Source Author(s)/Editor(s): Alberto Tomás Delso Vicente (Rey Juan Carlos University, Spain), María García de Blanes (Rey Juan Carlos University, Spain), Óscar Aguado Tevar (Nebrija University, Spain), Luis Díaz-Marcos (Nebrija University, Spain)and Margarita Núñez-Canal (Nebrija University, Spain)
DOI: 10.4018/979-8-3373-2802-7.ch001
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Abstract
Although education is a key factor in achieving sustainable development, global inequalities in access and quality of education persist as major challenges. The education divide - the disparity in access to learning opportunities - is exacerbated by economic, technological and geographical factors, and particularly affects vulnerable communities. Artificial intelligence (AI) has emerged as a potential tool to reduce these inequalities, offering adaptive models that personalise instruction, optimise resources and promote educational equity. This chapter examines the role of AI in sustainable education, focusing on bridging the education divide through adaptive models. It explores innovative applications of AI in education, its advantages and challenges, and possible solutions so that integration into education systems is done ethically and avoids increasing discrimination.
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