Self-regulation and Learning Outputs of Filipino MOOC Learners

Junard Duterte () and Gilbert Importante
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Junard Duterte: Davao del Norte State College
Gilbert Importante: University of Southeastern Philippines

A chapter in Proceedings of the 19th International Symposium on Management (INSYMA 2022), 2023, pp 399-408 from Springer

Abstract: Abstract During the coronavirus pandemic, scholars study how learners pursue lifelong learning in open and distance education since few studies investigate this issue. This study aims to discover a learning model that would increase the students’ online learning engagement and course completion in Massive Open Online Courses (MOOCs). Adopting the Self-Regulation Theory (SRT) on andragogy, this study is administered to 290 Massive MOOC adult learners in the Davao region. The author aimed to identify the respondents’ level of self-regulation in online learning, determine their learning outputs in a MOOC, examine the relationship between their self-regulation and learning outputs, and ascertain the significant predictors of their learning outputs. This study applied a quantitative-correlational design in collecting, interpreting, and discussing data from surveys using an adapted questionnaire. The author treated the data through a multiple regression correlation test. The results reveal that the respondents’ level of self-regulation in MOOC was very high, and they attained an excellent level of learning outputs. Furthermore, the findings show a strong relationship between their self-regulation and learning outputs in MOOCs. Meta-cognition, time management, environmental structuring, help-seeking, and persistence were significant predictors of learning outputs as reflected in the learning model that emerged. Findings also highlighted that self-regulation could significantly predict the learning outputs of online learners in exploring the MOOCs for their personal and professional development.

Keywords: self-regulation; MOOC; self-regulated learning; self-regulation theory; learning output (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-008-4_50

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DOI: 10.2991/978-94-6463-008-4_50

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