Fine-Tuned Large Language Models for Generating Multiple-Choice Questions in Anesthesiology: Psychometric Comparison With Faculty-Written Items. [PDF]
Hölzing CR +4 more
europepmc +1 more source
Benchmarking ChatGPT-generated multiple-choice questions against faculty-authored items in dental education. [PDF]
Kiyani A +6 more
europepmc +1 more source
Comparing ChatGPT and DeepSeek for Assessment of Multiple-Choice Questions in Orthopedic Medical Education: Cross-Sectional Study. [PDF]
Anusitviwat C +3 more
europepmc +1 more source
Comparison of cognitive workload between very short answer questions and multiple-choice questions: an eye-tracking experiment. [PDF]
Carneiro Queiroz MG +6 more
europepmc +1 more source
Student-generated multiple-choice questions enhance deeper learning in dental materials education: a randomized crossover trial. [PDF]
Gupta P, Shetty K, Shetty H, Banga KS.
europepmc +1 more source
Psychometric properties and detectability of GPT-4o-generated multiple-choice questions compared with human-authored items across imaging specialties. [PDF]
Linde P +9 more
europepmc +1 more source
Comparative study of the performance of ChatGPT-4, Claude, Gemini, Mistral, and perplexity on multiple-choice questions in cardiology. [PDF]
Nacanabo MW +7 more
europepmc +1 more source
Psychometric Properties of Multiple-Choice Questions Used in Undergraduate Medical Education in India: A Systematic Review and Meta-Analysis. [PDF]
Mondal H +6 more
europepmc +1 more source
Multiple Choice Questions [PDF]
openaire +2 more sources
Exploring the length and time related concepts for scenario-based multiple-choice questions through perspectives of medical education experts: a mixed-method approach. [PDF]
Bogam RR, Chennuri H, Chavan GM.
europepmc +1 more source

