What does this research mean for the field?

Real-time, neurodiversity-sensitive AI algorithms that detect and respond to short-term indicators of cognitive overload can meaningfully improve inclusive educational practices by dynamically adjusting learning conditions. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.ESTABLISHES_NEW_DIRECTION.

What question did this study set out to answer?

This research aims to address the challenges of fluctuating cognitive load in neurodivergent learners within inclusive education settings.

May 31, 20260 citationsOpen Access

Neurodiversity Sensitive Algorithms in Inclusive Education: Towards real time cognitive load responsive learning environments

KMKonstantina MathioudakiHellenic Open University

Puntos clave

This research aims to address the challenges of fluctuating cognitive load in neurodivergent learners within inclusive education settings.
Proposed a conceptual model called the AI CoReg framework.
Examined the implications of real time adjustments in learning environments using neurodiversity sensitive algorithms.
Reviewed applications within various educational contexts and discussed ethical considerations.
Identified the need for algorithms that can adjust to momentary cognitive overload indicators.
Highlighted the potential benefits of real time responsiveness to enhance engagement and performance for neurodivergent learners.

Resumen

Inclusive education has expanded considerably, yet many of the practices currently in place seem unable to respond to the rapid and often unpredictable fluctuations in attention, cognitive load and emotional regulation that affect neurodivergent learners. These momentary shifts, now well recognized in cognitive psychology, can influence engagement long before any decline in performance is visible. Despite this, support strategies in both formal and non-formal settings tend to remain fixed throughout activities. This article considers the emerging idea of neurodiversity sensitive algorithms, a form of Artificial Intelligence designed to notice short term indicators of cognitive overload and to adjust learning conditions in real time. Drawing on research in neurocognition, learning analytics and inclusive pedagogy, it proposes a conceptual model called the AI CoReg framework. It also explores applications in different educational environments and reflects on the ethical questions that such systems inevitably raise. The argument presented is that real time responsiveness, if approached thoughtfully, has the potential to contribute meaningfully to inclusive practice.

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