Work

Certainty-based marking in multiple-choice assessments in physiology: a web-based implementation using an AI assistant

Year: 2025

Type: article

Abstract: To introduce certainty-based marking (CBM) to novice students, a custom web-based multiple-choice question (MCQ) test was developed with assistance from an artificial intelligence (AI) tool. This enhanced accessibility and allowed for data collection to evaluate and analyze student performance. The integration of AI in creating this assessment tool highlights the potential of technology to improve educational practices, especially in designing various assessment strategies.

Source: AJP Advances in Physiology Education

DOI: 10.1152/advan.00087.2025

Authors: Chinmay Suryavanshi, Kirtana Raghurama Nayak

Institutions: Manipal Academy of Higher Education, Kasturba Medical College, Manipal

Language: English

Topic: Educational Technology and Assessment

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4415306274

FWCI: 1.089

Cites: 44

Cited by: 1

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