AIMC Topic: Educational Measurement
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Machine learning approach to student performance prediction of online learning.
PloS one
Jan 14, 2025
Student performance is crucial for addressing learning process problems and is also an important factor in measuring learning outcomes. The ability to improve educational systems using data knowledge has driven the development of the field of educati...
Performance of 4 Artificial Intelligence Chatbots in Answering Endodontic Questions.
Journal of endodontics
Jan 13, 2025
INTRODUCTION: Artificial intelligence models have shown potential as educational tools in healthcare, such as answering exam questions. This study aimed to assess the performance of 4 prominent chatbots: ChatGPT-4o, MedGebra GPT-4o, Meta LIama 3, and...
Factors Associated With the Accuracy of Large Language Models in Basic Medical Science Examinations: Cross-Sectional Study.
JMIR medical education
Jan 13, 2025
BACKGROUND: Artificial intelligence (AI) has become widely applied across many fields, including medical education. Content validation and its answers are based on training datasets and the optimization of each model. The accuracy of large language m...
Application of ChatGPT-assisted problem-based learning teaching method in clinical medical education.
BMC medical education
Jan 11, 2025
INTRODUCTION: Artificial intelligence technology has a wide range of application prospects in the field of medical education. The aim of the study was to measure the effectiveness of ChatGPT-assisted problem-based learning (PBL) teaching for urology ...
Dental Students' Learning Experience: Artificial Intelligence vs Human Feedback on Assignments.
International dental journal
Jan 10, 2025
OBJECTIVE: This study evaluated the effectiveness of an AI-based tool (ChatGPT-4) (AIT) vs a human tutor (HT) in providing feedback on dental students' assignments.
Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study.
JMIR medical informatics
Jan 10, 2025
BACKGROUND: Large language models (LLMs) have been proposed as valuable tools in medical education and practice. The Chinese National Nursing Licensing Examination (CNNLE) presents unique challenges for LLMs due to its requirement for both deep domai...
Exploration of designing an automatic classifier for questions containing code snippets-A case study of Oracle SQL certification exam questions.
PloS one
Jan 9, 2025
This study uses the Oracle SQL certification exam questions to explore the design of automatic classifiers for exam questions containing code snippets. SQL's question classification assigns a class label in the exam topics to a question. With this cl...
Enhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI-Based Mixed Methods Study.
JMIR medical education
Jan 6, 2025
BACKGROUND: Medical students often struggle to engage with and retain complex pharmacology topics during their preclinical education. Traditional teaching methods can lead to passive learning and poor long-term retention of critical concepts.
Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions.
JMIR medical education
Dec 24, 2024
This study evaluated the performance of ChatGPT with GPT-4 Omni (GPT-4o) on the 118th Japanese Medical Licensing Examination. The study focused on both text-only and image-based questions. The model demonstrated a high level of accuracy overall, with...
Artificial Intelligence as a Discriminator of Competence in Urological Training: Are We There?
The Journal of urology
Dec 9, 2024
PURPOSE: Assessments in medical education play a central role in evaluating trainees' progress and eventual competence. Generative artificial intelligence is finding an increasing role in clinical care and medical education. The objective of this stu...
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