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AI in the Physics Classroom: A Dual Assessment: Examining LLM-Powered Tools for Conceptual Change and Problem Solving - Brossura
Sinossi
This book presents a dual evaluation of cutting-edge Artificial Intelligence in secondary physics education. The first study examines an AI-Powered Moodle Plugin utilizing Large Language Models (LLMs) to engage students in real-time Socratic dialogue. This approach is assessed for its effectiveness in confronting student misconceptions and enhancing conceptual understanding of Newtonian mechanics compared to traditional instruction.The second study shifts focus to wearable AI, evaluating the performance of a Llama3-based AI embedded in Meta Smart Glasses. This research focuses on expert physics instructors' assessments of the AI's accuracy in solving upper-level problems, its explanation quality, and its capacity for misconception detection in a hands-free learning environment. Together, these studies define the current capabilities and limitations of both integrated (LMS-based) and wearable (AR-based) generative AI tools, providing essential guidance for educators and developers looking to thoughtfully integrate personalized, intelligent feedback into STEM learning systems.
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AI in the Physics Classroom: A Dual Assessment
Print on DemandDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch. Codice articolo 9786209367731
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AI in the Physics Classroom: A Dual Assessment : Examining LLM-Powered Tools for Conceptual Change and Problem Solving
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a dual evaluation of cutting-edge Artificial Intelligence in secondary physics education. The first study examines an AI-Powered Moodle Plugin utilizing Large Language Models (LLMs) to engage students in real-time Socratic dialogue. This approach is assessed for its effectiveness in confronting student misconceptions and enhancing conceptual understanding of Newtonian mechanics compared to traditional instruction.The second study shifts focus to wearable AI, evaluating the performance of a Llama3-based AI embedded in Meta Smart Glasses. This research focuses on expert physics instructors' assessments of the AI's accuracy in solving upper-level problems, its explanation quality, and its capacity for misconception detection in a hands-free learning environment. Together, these studies define the current capabilities and limitations of both integrated (LMS-based) and wearable (AR-based) generative AI tools, providing essential guidance for educators and developers looking to thoughtfully integrate personalized, intelligent feedback into STEM learning systems. Codice articolo 9786209367731
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AI in the Physics Classroom: A Dual Assessment
Print on DemandDa: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a dual evaluation of cutting-edge Artificial Intelligence in secondary physics education. The first study examines an AI-Powered Moodle Plugin utilizing Large Language Models (LLMs) to engage students in real-time Socratic dialogue. This approach is assessed for its effectiveness in confronting student misconceptions and enhancing conceptual understanding of Newtonian mechanics compared to traditional instruction.The second study shifts focus to wearable AI, evaluating the performance of a Llama3-based AI embedded in Meta Smart Glasses. This research focuses on expert physics instructors' assessments of the AI's accuracy in solving upper-level problems, its explanation quality, and its capacity for misconception detection in a hands-free learning environment. Together, these studies define the current capabilities and limitations of both integrated (LMS-based) and wearable (AR-based) generative AI tools, providing essential guidance for educators and developers looking to thoughtfully integrate personalized, intelligent feedback into STEM learning systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Codice articolo 9786209367731
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