Use of H5P interactive learning content in a self-paced MOOC for learning activity preferences and acceptance in an Indonesian medical elective module

Pratiwi Rahadiani, Aria Kekalih and Desak Gede Budi Krisnamurti

African Journal of Science, Technology, Innovation and Development, 2023, vol. 15, issue 7, 844-851

Abstract: This study aims to assess the learning activities that students find most helpful in self-paced MOOC settings, develop a questionnaire, and determine the predictors of students’ acceptance of H5P interactive content. This research is a quantitative study. The experimented details were obtained from an online questionnaire administered in Herbal Medicine MOOC offered by the Medical Pharmacy Department, Faculty of Medicine, and Universities Indonesia. The students’ acceptance questionnaire was developed by modifying the Technology Acceptance Model (TAM) questionnaire. This questionnaire includes perceived ease of use and perceived usefulness. Although 145 students participated in this course, only 126 students took and completed the online questionnaires. A paired sample t-test was performed to assess students’ learning activity preferences. The questionnaire was assessed by using validity and reliability tests. Multilinear regression and Pearson’s correlation analysis were also performed to identify the correlation among variables. The results showed that documents, learning videos, and H5P interactive content were considered by students as the most helpful learning activities in a self-paced MOOC. However, there is a significant difference in students’ preferences for these learning activities, both before and after the course. All the items of students’ acceptance on the H5P interactive content questionnaire were validated and reliable.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/20421338.2023.2209482 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rajsxx:v:15:y:2023:i:7:p:844-851

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rajs20

DOI: 10.1080/20421338.2023.2209482

Access Statistics for this article

African Journal of Science, Technology, Innovation and Development is currently edited by None

More articles in African Journal of Science, Technology, Innovation and Development from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().