Identifying learning preferences and strategies in health data science courses: systematic review

HIGHLIGHTS

• What: The authors provide some suggestions for conducting future research address gaps in the literature. Risk of bias was independently assessed by two screeners using the Mixed Methods Appraisal Tool (MMAT) and the study results were presented through narrative synthesis. To fill this gap, and following the Systematic Review and Meta-Analyses (PRISMA) guidelines the authors conducted a systematic review to present the current state of knowledge on learning strategies and preferences in HDS. It is worth noting that none of the included studies focused on courses or students specifically labelled as health data science.
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