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Creating Neuro-Inclusive Learning Environments: Integrating Generative AI and Outcome-Led Selection of Teaching Methods
Abstract
In this chapter, the author discusses communication differences among neurodivergent learners and practical guidance for educators to support those differences within a neuro-inclusive learning environment, through careful selection of teaching methods based on desired learning outcomes and the use of generative artificial intelligence (AI) applications such as ChatGPT. Rather than instructing neurodivergent learners to communicate like their neurotypical peers, educators can foster inclusion by teaching that communication needs support individual strengths and that differences enhance collective understanding. The goal is for learners to communicate effectively rather than similarly, changing the paradigm from treating differences as deficits to be corrected to a model of collective responsibility to support and learn from each other. As neurodivergent individuals may have strong preferences towards written or oral communication, the ideas presented in this chapter are meant to be flexible, for educators to use their expertise and discretion to adapt to the needs of their learners.
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