A research paper entitled “An Extended UTAUT Model to Explain Factors Affecting Online Learning System Amidst COVID-19 Pandemic: The Case of a Developing Economy” was published in Frontiers in Artificial Intelligence (Elsevier Scopus-Indexed Journal), by the fourth-year BSEd Mathematics students, Gesselle B. Batucan, Merly G. Balbuena, Kyla Marie B. Pasaol, and Darlyn N. Seno on April 28, 2022.
The emergence of COVID-19 altered the educational landscape, forcing learning institutions to move from traditional face-to-face teaching to online teaching-learning. This study would help learners as well as educators adapt to the unexpected change in the system.
Many scholars believe that the Unified Theory of Acceptance and Use of Technology (UTAUT) is a valuable and comprehensive model because it considers all existing ideas about technology adoption.
When compared to other technology adoption hypotheses, it has the most explanatory power. Significantly, the study explains the factors that affect online learning amidst COVID-19 from students’ perspectives during the pandemic and empirically tests the factors that affect online learning by adding different factors.
The paper is the result of a well-designed BSEd Mathematics program that includes courses in Research 1 and 2 after two Statistics courses including Advanced Statistics. It was supported by the Cebu Technological University Danao Campus’s Student Trust Fund (STF).
The research publication’s success was realized through the special contribution of Dr. Roselyn R. Gonzales, Dean of the College of Education, and their research adviser, Dr. Gamaliel G. Gonzales.
Dr. Gamaliel Gonzales expressed his pride as an adviser by stating “As a teacher, nothing is more rewarding than having your undergraduate students published in a Scopus and ESCI indexed publication.”-Sarah Jane Colina/ICPA Danao
Reference:
https://www.frontiersin.org/articles/10.3389/frai.2022.768831/full