Canvas Learning Management System Feature Analysis Using Feature-Oriented Domain Analysis (FODA)

Wicaksono, Galih Wasis and Nawisworo, Pamula Brian and Wahyuni, Evi Dwi and Cholily, Yus Muhammad (2021) Canvas Learning Management System Feature Analysis Using Feature-Oriented Domain Analysis (FODA). In: 5th International Conference on Information Technology and Digital Applications (ICITDA 2020). IOP Conference Series: Materials Science and Engineering, 5 (1077). IOP, Yogyakarta, Indonesia, pp. 1-8. ISBN 1757-899X

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Abstract

The impact of Covid-19 on the world of education requires the implementation of online learning. Information and computer technology can provide solutions in education through the Learning Management System (LMS). Canvas LMS is a form of LMS that can be utilized by lecturers and students in online learning during the Covid-19 pandemic. In this study, researchers analyzed the features of Canvas LMS using the Feature-Oriented Domain Analysis (FODA) method. Researchers also conducted a mapping of canvas LMS features with the National Standard of Higher Education (SN Dikti). This study showed two stages of validation by Education and LMS experts to verify the results of the analysis. At the end of the course, we recommended a new LMS feature that complies with SN Dikti for Lecturer and Student users.

Item Type: Book Section / Proceedings
Keywords: Canvas Learning, management system
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: maulana Maulana Chairudin
Date Deposited: 07 Feb 2024 05:50
Last Modified: 07 Feb 2024 05:50
URI: https://eprints.umm.ac.id/id/eprint/3580

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