Using Artificial Intelligence to Achieve Inclusive and Effective Education

Abstract

Artificial intelligence, as one of the transformative technologies of the contemporary era, has considerable capacity to respond to learners’ individual differences, reduce barriers to access to education, and improve the quality of the teaching–learning process. The present study was conducted with the aim of explaining how artificial intelligence can be used to achieve inclusive and effective education. The research method is library-based and analytical; accordingly, the data were collected through the study, classification, and analysis of documents, scientific reports, and reputable peer-reviewed articles in the fields of artificial intelligence in education, inclusive education, and learning technologies. The findings indicate that AI-based tools, including adaptive learning systems, intelligent tutors, learning analytics, speech-to-text technologies, text-to-speech technologies, and assistive technologies, can align educational content, learning pace, feedback, and assessment methods with learners’ diverse needs, abilities, and circumstances. These capabilities can provide more equitable opportunities for participation in education, particularly for students with special educational needs, learners in under-resourced areas, and individuals with linguistic or cultural differences. However, the real effectiveness and inclusiveness of these technologies depend on observing principles such as the protection of personal data, algorithmic transparency, the mitigation of bias, equal access to digital infrastructure, and the preservation of the teacher’s central role (Miao & Holmes, 2023; Zawacki-Richter et al., 2019). It can therefore be concluded that artificial intelligence, when used responsibly and through a human-centered approach, can move beyond being merely a technological tool and become a means of strengthening educational equity, personalizing learning, and increasing the effectiveness of education.