Relationships between medical students' co-regulatory network characteristics and self-regulated learning: a social network study.

ABSTRACT:

Introduction

Recent conceptualizations of self-regulated learning acknowledge the importance of co-regulation, i.e., students' interactions with others in their networks to support self-regulation. Using a social network approach, the aim of this study is to explore relationships between characteristics of medical students' co-regulatory networks, perceived learning opportunities, and self-regulated learning.

Methods

The authors surveyed 403 undergraduate medical students during their clinical clerkships (response rate 65.5%). Using multiple regression analysis, structural equation modelling techniques, and analysis of variance, the authors explored relationships between co-regulatory network characteristics (network size, network diversity, and interaction frequency), stude

SUBMITTER: Bransen D 

PROVIDER: S-EPMC8733107 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature