Evaluation of the UPOU MOOC "Principles of Graphic Design" using Product Variable of Biggs' 3P Model

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Ma. Gian Rose Cerdeña
Lexter Mangubat
Luisa Gelisan
Mari Anjeli Crisanto

Abstract

As Massive Open Online Courses (MOOCs) are being recognized as a link between higher education and the increasing demand for employability, it is imperative to employ continuous evaluation for quality assurance. This research aimed to evaluate the University of the Philippines Open University (UPOU) MOOC “Principles of Graphic Design” in accordance with the MOOC Quality Guidelines developed by the Commonwealth of Learning. With Biggs’ 3P Model incorporated in the MOOC Quality Guidelines, this evaluation research focused on the product variables of the model: completion/retention and certification rates, and enjoyment and self-satisfaction. The completion and certification rates were computed using LMS analytics, while the enjoyment and self-satisfaction rates were evaluated using a survey instrument based on the learner ratings for the product variable in the Guidelines for Quality Assurance and Accreditation of MOOCs using a five-point Likert scale on outcomes perception, continuing education, employment opportunities, and socializing. With a total of 22,942 enrolled students, 7,620 managed to complete the course and receive certificates. Of these, a total of 7,239 agreed to be survey respondents. Results of the study showed high satisfaction rates, with 77.95% of the respondents giving "very satisfied" rates to the said MOOC. The mean scores for three out of the four learner ratings were above four (4.32 to 4.88), with the socializing component given a neutral rating (3.14 to 3.59). Overall, results showed high completion and certification rates, as well as enjoyment and self-satisfaction ratings for the MOOC.

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How to Cite
Cerdeña, M. G. R., Mangubat, L., Gelisan, L., & Crisanto, M. A. (2024). Evaluation of the UPOU MOOC "Principles of Graphic Design" using Product Variable of Biggs’ 3P Model. International Journal on Open and Distance E-Learning, 9(2). https://doi.org/10.58887/ijodel.v9i2.261
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