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ABSTRACT
Online education has increased over the last two decades in response to an increasing learning demand. Massive open online courses (MOOCs) seem to be an adequate tool to facilitate current educational dynamics. However, evaluating students’ motivation and learning to predict their engagement when attending a MOOC represents a challenge. This study combines characteristics of data from MOOC environments (e.g., large sample size) with well-established psychometric methodology (validity and reliability estimations) to attain a reliable resource to evaluate MOOC participants. Four independent datasets from MOOCs on energy-related topics were used to psychometrically examine the new “Initial survey of interests, motivations, and knowledge regarding MOOCs” (EIIMC-MOOC). The results indicate that the EIIMC-MOOC is a valid, reliable and stable tool to evaluate initial motivation and prior knowledge of participants attending energy-related topics.
Disclosure statement
The authors declare that they have no competing interests with respect to the research, authorship and/or publication of this article.
Authors’ contributions
JAVV worked on the introduction, method, results sections, analysed and interpreted datasets and was a major contributor in writing the manuscript. MSRM worked on introduction and discussion sections, wrote and reviewed and to initial drafts of this document. JRVG reviewed and contributed to initial and subsequent drafts of this manuscript. All authors read and approved the final manuscript.”
Availability of data and materials
The datasets generated and/or analysed during the current study are not publicly available due to institutional requirements but are available from the corresponding author on reasonable request.