Unleashing the Potential of Every Child: The Transformative Role of Artificial Intelligence in Personalized Learning

Introduction

Emerging artificial intelligence (AI) technologies have the potential to revolutionize education by enabling truly personalized and adaptive learning tailored to each student’s unique needs and strengths. Historically, education has relied on a standardized, one-size-fits-all model that progresses students uniformly through rigid curricula (Itzkovich et al., 2021; Dockterman, 2018). This overlooks diverse learning paces, styles, and abilities (Zhao, 2021). The evolution of education, however, is now being fueled by recent advances in AI, which bring the promise of a more tailored and adaptable learning experience. Recent advances in AI offer new opportunities to transform education through data-driven customization and automation. AI encourages learner agency as well as personalization and leads to the development of learner-centered, personalized education (Ouyang & Jiao, 2021).

In the 21st century, the importance of personalized instruction catering to individual learners has grown enormously (Thompson, 2019). Powerful machine learning algorithms can now rapidly analyze student data from assessments, online systems, and collaborations to construct comprehensive profiles of each learner’s competencies, motivations, and needs (Maghsudi et al., 2021; Hamim et al., 2021). AI can leverage these insights to enable adaptive education - the real-time customization of curricula, teaching strategies, and feedback based on each student’s evolving mastery and demonstrated requirements. With the appearance of big data, cloud computing, and other technologies, artificial intelligence technology has caused a considerable shift in the field of education (Liu et al., 2021).

However, fully realizing AI’s benefits requires addressing ethical risks around data privacy, algorithmic transparency, equitable access, and excessive automation. It is important to guarantee that AI systems used in education uphold student privacy, avoid prejudiced outcomes, and reveal transparency in their decision-making processes (Pendy, 2023). The thoughtful integration of technology and teacher guidance can unlock AI’s potential to revolutionize education.

This chapter provides key stakeholders - educators, researchers, and policymakers - actionable insights on implementing AI-enabled personalized learning effectively and equitably. It compiles strategies and case studies that highlight this technology’s immense potential while also emphasizing the importance of human-centric design, contextual validity, and ethical precautions essential for responsible adoption. By exploring this landscape, this chapter seeks to contribute to the discourse on how AI, when thoughtfully and ethically leveraged, could unlock every child’s potential through dynamic, tailored education. It is essential to remain mindful of the possible risks of AI technology and prioritize responsible adoption and implementation.

Artificial intelligence (AI) refers to advanced computer systems capable of sophisticated decision-making, learning, perception, prediction, and other faculties associated with human intelligence (Chen et al., 2020; Manickam, 2022). Through analysis of large datasets, adaptive algorithms, and human-computer interaction capabilities, AI offers the potential to dramatically transform education (Maghsudi et al., 2021). However, integrating AI into the complex social contexts of learning warrants thoughtful examination (Azevedo, 2005; Seo et al., 2021).