Work

Medical exam question difficulty prediction: An analysis of embedding representations, machine-learning approaches, and input feature impact

Year: 2025

Type: article

Source: Medical Teacher

DOI: 10.1080/0142159x.2025.2586619

Authors: Shicong Feng, Tianpeng Zheng, Hao Hang, Jiayi Liu, Zhehan Jiang

Institutions: Peking University, Chinese Center For Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention

Language: English

Topic: Innovations in Medical Education

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDGs: Quality education, Good health and well-being

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G239866057

OpenAlex ID: W4416526643

FWCI: 0.826

Cites: 30

Cited by: 1

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