Prediction of medical sciences students' performance on high-stakes examinations using machine learning models: a protocol for a systematic review.

ABSTRACT:

Introduction

Predicting medical science students' performance on high-stakes examinations has received considerable attention. Machine learning (ML) models are well-known approaches to enhance the accuracy of determining the students' performance. Accordingly, we aim to provide a comprehensive framework and systematic review protocol for applying ML in predicting medical science students' performance on high-stakes examinations. Improving the current understanding of the input and output features, preprocessing methods, setting of ML models and required evaluation metrics seems essential.

Methods and analysis

A systematic review will be conducted by searching the electronic bibliographic databases of MEDLINE/PubMed, EMBASE, SCOPUS and Web of Science. The search will be limit

SUBMITTER: Mastour H 

PROVIDER: S-EPMC10163468 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature