AIMC Topic: Educational Measurement
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MANIT: a multilayer ANN integrated framework using biometrics and historical features for online examination proctoring.
Scientific reports
Aug 11, 2025
Online education has become a globally accepted norm, bringing benefits and challenges. One of the most debated aspects is the academic integrity of online examinations. Without physical proctoring, the authenticity of the candidates' scores can alwa...
Pediatric surgical trainees and artificial intelligence: a comparative analysis of DeepSeek, Copilot, Google Bard and pediatric surgeons' performance on the European Pediatric Surgical In-Training Examinations (EPSITE).
Pediatric surgery international
Aug 8, 2025
OBJECTIVE: Large language models (LLMs) have advanced rapidly, but their utility in pediatric surgery remains uncertain. This study assessed the performance of three AI models-DeepSeek, Microsoft Copilot (GPT-4) and Google Bard-on the European Pediat...
Artificial intelligence assisted automated short answer question scoring tool shows high correlation with human examiner markings.
BMC medical education
Aug 5, 2025
BACKGROUND: Optimizing the skill of answering Short answer questions (SAQ) in medical undergraduates with personalized feedback is challenging. With the increasing number of students and staff shortages this task is becoming practically difficult. He...
Role of Artificial Intelligence in Surgical Training by Assessing GPT-4 and GPT-4o on the Japan Surgical Board Examination With Text-Only and Image-Accompanied Questions: Performance Evaluation Study.
JMIR medical education
Jul 30, 2025
BACKGROUND: Artificial intelligence and large language models (LLMs)-particularly GPT-4 and GPT-4o-have demonstrated high correct-answer rates in medical examinations. GPT-4o has enhanced diagnostic capabilities, advanced image processing, and update...
Evaluating AI-generated examination papers in periodontology: a comparative study with human-designed counterparts.
BMC medical education
Jul 23, 2025
OBJECTIVE: This study systematically evaluates the performance of artificial intelligence (AI)-generated examinations in periodontology education, comparing their quality, student outcomes, and practical applications with those of human-designed exam...
Ten tips to harnessing generative AI for high-quality MCQS in medical education assessment.
Medical education online
Jul 17, 2025
Generating high quality MCQs is time consuming and expensive. Many strategies are applied to produce high quality items including sharing of item banks, training of item writers and automatic item generation (AIG). Generative AI, when used with preci...
Large language models in medical education: a comparative cross-platform evaluation in answering histological questions.
Medical education online
Jul 12, 2025
Large language models (LLMs) have shown promising capabilities across medical disciplines, yet their performance in basic medical sciences remains incompletely characterized. Medical histology, requiring factual knowledge and interpretative skills, p...
Feasibility study of using GPT for history-taking training in medical education: a randomized clinical trial.
BMC medical education
Jul 10, 2025
BACKGROUNDS: Traditional methods of teaching history-taking in medical education are limited by scalability and resource intensity. This study aims to assess the effectiveness of simulated patient interactions based on a custom-designed Generative Pr...
Enhancing AI literacy in undergraduate pre-medical education through student associations: an educational intervention.
BMC medical education
Jul 3, 2025
BACKGROUND: The integration of artificial intelligence (AI) into healthcare is rapidly advancing, with profound implications for medical practice. However, a gap exists in formal AI education for pre-medical students. This study evaluates the effecti...
Explainable artificial intelligence for predicting medical students' performance in comprehensive assessments.
Scientific reports
Jul 3, 2025
Comprehensive medical assessments are critical for evaluating clinical proficiency in medical education; however, these administrations impose significant institutional burdens, financial costs, and psychological strain on students. While Artificial ...
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