From antiquity to quantum mechanics: An AI-based framework for teaching the evolution of atomic models from simple to complex concepts
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ID: 309381
2025
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Ranked #64 of 145 articles by views in Aminu Kano Academic Scholars Association Multidisciplinary Journal
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Abstract
This paper, “Atomic Models from Antiquity to Quantum Mechanics: An AI-Based Framework for Teaching from Simple to Complex,” seeks to restore the historical and epistemological depth of atomic theory education by integrating artificial intelligence (AI) as a pedagogical mediator. Drawing on the works of Matthews (2014), Niaz (2016), and Kuhn (1962), the study argues that understanding scientific progress requires a reconstruction of its conceptual lineage what Pullman (1998) calls “temporal amnesia” recovery. The proposed AI-based framework utilizes three complementary mechanisms: (1) Simulated Dialogues, where learners interact with AI-generated personas such as Democritus or Dalton to explore competing worldviews; (2) Generative Analogies, where AI visualizes complex concepts such as Epicurus’ clinamen or quantum tunneling through adaptive simulations; and (3) Misconception Mapping, where machine learning identifies and addresses student misconceptions by aligning them with relevant historical model shifts. This approach aligns with contemporary discipline-based education research (National Research Council, 2012) and advances inquiry-based learning through cognitive apprenticeship. By merging historical inquiry with AI-driven scaffolding, the paper demonstrates that teaching atomic theory through its epistemic evolution cultivates not only conceptual understanding but also scientific reasoning, creativity, and skepticism. Ultimately, this AI-augmented model reimagines science education as a living dialogue between past and present knowledge systems, enabling students to perceive scientific models not as static truths but as evolving explanations within humanity’s enduring quest to understand matter.
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| Authors | Habibu Ahmad Ibrahim |
| Journal | Aminu Kano Academic Scholars Association Multidisciplinary Journal |
| Year | 2025 |
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| Keywords | Keywords not found |
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