Survey of learning experiences and influence of learning style preferences on user intentions regarding MOOCs
Published | May 2015 |
Type of work | Special Issue: Massive Open Online Courses (MOOCs): ‘disrupting’ teaching and learning practices in higher education |
Journal | British Journal of Educational Technology Volume 46, Issue 3, Pages 528–541 |
Publisher | Wiley-Blackwell |
ABSTRACT
With the rapid development of web techniques, information and communication technology is being increasingly used in curricula, and learning portfolios can be automatically retrieved and maintained as learners interact through e-learning platforms. Further, massive open online courses (MOOCs), which apply such technology to provide open access to hundreds and thousands of learners, have recently gained popularity in higher education. Learning styles refer to an individual's approach to learning based on their preferences, strengths and weaknesses. It was speculated that different learning styles could affect a learner's preference for MOOCs. Therefore, in this study, we investigated the influence of learning styles on the learners' intentions to use MOOCs. The participants comprised 184 undergraduate students, who were surveyed regarding their learning experiences, motivation and intentions to use MOOCs. The results showed that learners with a high-reflective learning style tended to have less experience in using MOOCs. Using the K-means algorithm, we also clustered the multiple learning styles and found a 90% probability that the type of learning styles does influence learner intentions. Finally, we explored the reasons why learners used MOOCs, analyzed the learning approaches that could assist learning in MOOCs and examined the correlation between learning styles and user intention.Keywords | higher education · learning styles · MOOC research |
ISSN | 1467-8535 |
Other number | 3 |
Refereed | Yes |
Rights | © British Educational Research Association |
DOI | 10.1111/bjet.12275 |
Export options | BibTex · EndNote · Tagged XML · Google Scholar |
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