Artificial Intelligence Assisted Physics Pedagogy for Engineering Technology Students

The Artificial Intelligent Large Language Models of OpenAI.comhave been used in physics courses in the ABET engineering technology and other curricula in our community college.The supremacy of using AI as a writing tool to improve lab report narration was verified readily, although the improvement of conceptual understanding through literacy was observed to be minimal in a cohort of students.An information pedagogy of converting assessment in multiple choice question format to an informational format with AI driven lab narration was examined in terms of the Force Concept Inventory (FCI) instrument, consistent with the acceptable practice of teaching to an assessment while not-teaching to an assessment tool.The assessment of the information pedagogy showed moderate improvement in the answering of the FCI questions.A numeracy pedagogy in the lecture component was implemented in problem solving using the AI calculation mistakes to emphasize the causation requirement in physics.The AI mistakes would generate an unreasonable graphical trend.Some of the AI mistakes bear resemblances to students' mistakes, suggesting that some students were using a language approach when failing to follow the math derivation steps.Our assessment echoed the recently reported mechanical reasoning and sensemaking results in the use of AI in physics pedagogy, with Computer Vision to emphasis spatial reasoning which plays an essential role in the problem solving of rotational motion in daily engineering and technology examples.Extending heat transfer coverage in Physics One to support diffusion models Generative AI is discussed.