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Volodymyr Mavrych; Ahmed Yaqinuddin; Olena Bolgova – Advances in Physiology Education, 2025
Despite extensive studies on large language models and their capability to respond to questions from various licensed exams, there has been limited focus on employing chatbots for specific subjects within the medical curriculum, specifically medical neuroscience. This research compared the performances of Claude 3.5 Sonnet (Anthropic), GPT-3.5 and…
Descriptors: Artificial Intelligence, Computer Software, Neurosciences, Medical Education
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Tangalakis, Kathy; Julien, Brianna L.; Lexis, Louise; Hryciw, Deanne H.; Thomas, Colleen J.; Husaric, Maja; Towstoless, Michelle; MacKinnon, Philip J.; Miao, Yuan; Hayes, Alan – Advances in Physiology Education, 2023
Core concepts in physiology, designed by physiology educators to promote improved learning and teaching, have existed for over a decade. This study aimed to investigate the extent to which a set of 15 core concepts of physiology (developed by Michael and McFarland, U.S.-based educators) are reflected in the learning outcomes (LOs) of units…
Descriptors: Concept Formation, Scientific Concepts, Physiology, Science Instruction
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Swapna Haresh Teckwani; Amanda Huee-Ping Wong; Nathasha Vihangi Luke; Ivan Cherh Chiet Low – Advances in Physiology Education, 2024
The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…
Descriptors: Accuracy, Reliability, Computational Linguistics, Standards
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Himel Mondal; Juhu Kiran Krushna Karri; Swaminathan Ramasubramanian; Shaikat Mondal; Ayesha Juhi; Pratima Gupta – Advances in Physiology Education, 2025
Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…
Descriptors: Computational Linguistics, Physiology, Teaching Methods, Artificial Intelligence