Artificial intelligence and cinematic comprehension from ABP [Inteligencia artificial y comprensión cinemática desde el ABP]
DOI:
https://doi.org/10.62574/rmpi.v5iEducativa.457Keywords:
artificial intelligence, teaching methods, physicsAbstract
The study aims to analyse the integration of artificial intelligence in kinematic understanding through problem-based learning as an innovative teaching strategy. A descriptive documentary design was used, involving a systematic analysis of fourteen bibliographic sources published between 2008 and 2025, structured in four stages: identification, selection, content analysis and interpretative synthesis. The results identify five thematic categories: pedagogical foundations of PBL in physics, showing improvements in conceptual understanding and problem-solving skills; conceptual difficulties in kinematics related to the coordination of representation systems and intuitive conceptions; applications of AI in physics teaching, facilitating personalisation of learning and automatic diagnosis of difficulties; convergence between PBL and AI, generating methodological synergies that enhance both components; and documented effects showing significant increases in student motivation and conceptual understanding.
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