Adaptive learning technologies, built on the foundations of artificial intelligence (AI), machine learning, and assistive innovations, are transforming the landscape of education by enabling highly individualized and accessible learning experiences. These systems are particularly valuable for students with disabilities, as they draw upon principles of personalized instruction to tailor educational content, pace, and support to each learner’s needs, preferences, and progression. By continuously analyzing large volumes of learner data—including assessment outcomes, behavioral patterns, and interaction histories—adaptive learning platforms can deliver timely micro-interventions, targeted resources, and adaptive feedback that optimize engagement and outcomes. Despite their transformative potential, the integration of such technologies also raises complex ethical challenges. Key concerns include data privacy, algorithmic bias, and equitable access, as the reliance on massive datasets increases the risk of misuse or unauthorized access to sensitive learner information. Additionally, biased or opaque algorithms may unintentionally reinforce existing educational inequities, undermining the very goals of inclusivity and personalization. To address these risks, there is a growing imperative to adopt sustainable AI principles that align technological innovation with long-term social, economic, and environmental objectives. This includes promoting transparent, fair, and environmentally responsible design and deployment practices, as well as fostering intergenerational equity and ethical stewardship in education. This chapter critically examines both the promise and the ethical complexities of adaptive learning systems, emphasizing the need for a balanced approach where technological advancement coexists with robust ethical frameworks. By integrating sustainability ethics, climate-conscious AI practices, and responsible governance, adaptive learning can evolve as a truly transformative force that promotes fairness, inclusivity, and lifelong learning opportunities for all learners.
Chakraborty et al. (Fri,) studied this question.