SCHOLARLY PAPERS
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Ideas:
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Current research explores two interconnected fronts. First, extending the Dismantled Mindset framework: examining how generative AI reproduces systemic power cycles; developing community-based recovery models for fragmented identities; and analyzing how power structures undermine student identity in EdTech contexts. Second, AI, ethics, and society: proposing equity-first AI governance from a postcolonial perspective; tracing how algorithms encode fear and inequality; and rethinking personalized learning as collective liberation. Across all threads, the work bridges psychology, technology, and social justice — asking not only how power dismantles the self, but how individuals and communities can reclaim it. Interdisciplinary collaboration welcome.
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