AIMC Topic: Educational Measurement

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Accuracy of a Large Language Model as a new tool for optometry education.

Clinical & experimental optometry
CLINICAL RELEVANCE: The unsupervised introduction of certain Artificial Intelligence tools in optometry education may challenge the proper acquisition of accurate clinical knowledge and skills proficiency.

Using artificial intelligence to grade practical laboratory examinations: Sacrificing students' learning experiences for saving time?

Anatomical sciences education
The use of artificial intelligence (AI) by students has recently been made a key topic among educators because of the potential to transform students' learning experiences. However, the use of AI-based software by instructors has not received the sam...

Reshaping medical education: Performance of ChatGPT on a PES medical examination.

Cardiology journal
BACKGROUND: We are currently experiencing a third digital revolution driven by artificial intelligence (AI), and the emergence of new chat generative pre-trained transformer (ChatGPT) represents a significant technological advancement with profound i...

Validating instructional design and predicting student performance in histology education: Using machine learning via virtual microscopy.

Anatomical sciences education
As a part of modern technological environments, virtual microscopy enriches histological learning, with support from large institutional investments. However, existing literature does not supply empirical evidence of its role in improving pedagogy. V...

ChatGPT's performance in dentistry and allergyimmunology assessments: a comparative study.

Swiss dental journal
Large language models (LLMs) such as ChatGPT have potential applications in healthcare, including dentistry. Priming, the practice of providing LLMs with initial, relevant information, is an approach to improve their output quality. This study aimed ...