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The moderating effect of social capital on co-regulated learning for MOOC achievement.

ABSTRACT: The aim of this paper is to track down elements of self-regulated learning in a massive open online course regarding social capital. Specifically, the study is oriented to explore the relationship between feeling of belonging to an online community and individual and collective regulation of learning. For this aim, a combination of two already tested scales was operated, adapted for the research interests of this study and administered to a sample of MOOC participants. Several structural equation modelling analyses demonstrate that co- and self-regulated learning strategies lead to MOOC achievement (final exam score), and social capital is only a moderator of co-regulated learning (collective evaluation of content and collective decision-making) but not for self-regulated learning (individual environment control).

SUBMITTER: Chaker R

PROVIDER: S-EPMC7405380 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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The moderating effect of social capital on co-regulated learning for MOOC achievement.

Chaker Rawad R Impedovo Maria Antonietta MA

Education and information technologies 20200805 1

The aim of this paper is to track down elements of self-regulated learning in a massive open online course regarding social capital. Specifically, the study is oriented to explore the relationship between feeling of belonging to an online community and individual and collective regulation of learning. For this aim, a combination of two already tested scales was operated, adapted for the research interests of this study and administered to a sample of MOOC participants. Several structural equatio ...[more]

PMID: 32837238

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Project description:IntroductionMassive Open Online Courses (MOOCs) are informal learning environments. Since a few years, MOOCs are being reused and integrated in formal medical education. However, what constitutes optimal integration is still unclear. In this mixed methods study protocol we describe how we will investigate three MOOC integration designs using the same MOOC. THIS STUDY HOLDS MULTIPLE OBJECTIVES: (1) Describe motivation profiles in medical students that learn in integrated MOOCs, and discern if motivation profiles are associated with specific MOOC integration designs; (2) investigate how psychological needs of medical students are satisfied or frustrated in different MOOC integration designs; (3) investigate the relationship between autonomous motivation to learn in an integrated MOOC and use of self-regulated learning skills in that MOOC; (4) uncover processes that are involved in goal acceptance or rejection of medical students in integrated medical MOOC designs with assigned learning goals; and (5) identify obstacles medical students encounter when learning with assigned learning goals in integrated medical MOOCs.Methods and analysisObjectives 1 and 2 will be pursued with a cross-sectional study design, objective 3 with an observational cohort study design and objectives 4 and 5 with a qualitative interview study design. All medical students in one of three MOOC integration designs at Leiden University Medical Center (LUMC) will be invited to participate. Primary endpoints for objectives 1 and 2 are motivation profiles, and variety in need satisfaction and frustration. For objective 3 the primary endpoints are autonomous motivation and self-regulated online learning. For objectives 4 and 5 primary endpoints are process themes regarding goal acceptance or rejection, and perceived obstacles when working with assigned online learning goals.Ethics and disseminationThis study has been approved by the Educational Research Review Board of the LUMC. Planned dissemination of findings include three presentations at (inter)national conferences and three research articles.

Project description:IntroductionRecent 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.MethodsThe 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), students' perceptions of learning opportunities in the workplace setting, and self-reported self-regulated learning.ResultsAcross all clerkships, data showed positive relationships between tie strength and self-regulated learning (β = 0.095, p < 0.05) and between network size and tie strength (β = 0.530, p < 0.001), and a negative relationship between network diversity and tie strength (β = -0.474, p < 0.001). Students' perceptions of learning opportunities showed positive relationships with both self-regulated learning (β = 0.295, p < 0.001) and co-regulatory network size (β = 0.134, p < 0.01). Characteristics of clerkship contexts influenced both co-regulatory network characteristics (size and tie strength) and relationships between network characteristics, self-regulated learning, and students' perceptions of learning opportunities.DiscussionThe present study reinforces the importance of co-regulatory networks for medical students' self-regulated learning during clinical clerkships. Findings imply that supporting development of strong networks aimed at frequent co-regulatory interactions may enhance medical students' self-regulated learning in challenging clinical learning environments. Social network approaches offer promising ways of further understanding and conceptualising self- and co-regulated learning in clinical workplaces.

Dataset Information

The moderating effect of social capital on co-regulated learning for MOOC achievement.

Publications

The moderating effect of social capital on co-regulated learning for MOOC achievement.

Similar Datasets

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