Generativism: Toward a Learning Theory for the Age of Generative Artificial Intelligence
The four dominant learning theories of behaviorism, cognitivism, constructivism, and connectivism show significant conceptual limitations as generative artificial intelligence (AI) proliferates in educational settings. These frameworks were formulated before the emergence of AI systems capable of generating, synthesizing, and reasoning about knowledge. This article critically examines each learning theory and identifies assumptions challenged by the affordances of generative AI. Drawing on research in distributed cognition, extended mind, human-AI collaboration, AI literacy, cognitive offloading, and metacognition, the article proposes Generativism as a learning theory for the generative ...
| Authors | Shan Li, Juan Zheng |
|---|---|
| Primary category | cs.CY |
| Published | 18 May 2026 |
| Last updated at source | 31 August 2026 |
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