THE COMPETENCE OF UNIVERSITY STUDENTS AND FACTORS RELATED TO LEARNING MOTIVATION DURING THE COVID-19 PANDEMIC: A CROSS-SECTIONAL STUDY IN FINLAND AND AUSTRIA
DOI:
https://doi.org/10.37268/mjphm/vol.22/no.3/art.1783Keywords:
Learning competence, learning motivation, university students, COVID-19, secondary dataAbstract
The global coronavirus disease (COVID-19) has disturbed daily life and altered the way we interact with others and the urgency of learning motivation/competence and its relation to the pandemic has not been addressed. Thus, few studies have been conducted to assess factors related to learning motivation from the COVID-19 pandemic. The current study aims to examine the related learning motivation of university students during the COVID-19 pandemic. A cross-sectional was used as secondary data analysis from Inter-university Consortium for Political and Social Research. A total of 7,386 university students in Austria and Finland. The data was administered by a web-based survey that was conducted from April 7 to June 6, 2020. Data analysis comprised of descriptive analysis and multiple linear regression analysis. This study found that most of students were female (n = 5,264, 73.30%), students’ age M = 25.76, SD = 7.52, and students from Austria (77.80%) and Finland (22.2%). The predictors of learning motivation were age (?: -0.099, <0.05) and learning competence (?: .659, <0.05). This study also asserted that age (?: -.85, p< .05) was statistically significant with learning competence during COVID-19. Interdisciplinary healthcare team and faculty members consider students’ age, gender, and learning competence factors in developing appropriate activities to encourage learning competence and learning motivation in order to improve learning outcomes in university students during the COVID-19 outbreak
References
Choompunuch B, Suksatan W, Sonsroem J, Kutawan S, In-udom A. Stress, adversity quotient, and health behaviors of undergraduate students in a Thai university during COVID-19 outbreak. Belitung Nursing Journal. 2021;7(1):1-7.
Bao W. COVID-19 and online teaching in higher education: A case study of Peking University. Human Behavior and Emerging Technologies. 2020;2(2):113-115.
Wei H-C, Chou C. Online learning performance and satisfaction: do perceptions and readiness matter? Distance Education. 2020;41(1):48-69.
Suksatan W, Choompunuch B, Koontalay A, Posai V, Abusafia AH. Predictors of Health Behaviors Among Undergraduate Students During the COVID-19 Pandemic: A Cross-Sectional Predictive Study. J Multidiscip Healthc. 2021;14:727-734.
Marler EK, Bruce MJ, Abaoud A, et al. The impact of COVID-19 on university students’ academic motivation, social connection, and psychological well-being. Scholarship of Teaching and Learning in Psychology. 2021:Advance online publication.
Ma L, Lee CS. Drivers and barriers to MOOC adoption: perspectives from adopters and non-adopters. Online Information Review. 2020;44(3):671-684.
Heidari E, Mehrvarz M, Marzooghi R, Stoyanov S. The role of digital informal learning in the relationship between students' digital competence and academic engagement during the COVID-19 pandemic. Journal of Computer Assisted Learning. 2021;37(4):1154-1166.
Villela EFM, de Oliveira FM, Leite ST, Bollela VR. Student engagement in a public health initiative in response to COVID-19. Med Educ. 2020;54(8):763-764.
Kim S, Jeong SH, Kim HS, Jeong YJ. Academic Success of Online Learning in Undergraduate Nursing Education Programs in the COVID-19 Pandemic Era. Journal of Professional Nursing. 2022;38:6-16.
Limniou M, Varga-Atkins T, Hands C, Elshamaa M. Learning, Student Digital Capabilities and Academic Performance over the COVID-19 Pandemic. Education Sciences. 2021;11(7).
Sokolowich JR, Ferguson PE, Hendricks KR. Taking the Temperature of Distance Learners: Does University Climate Influence Perceptions of Belonging in a Distance Education Environment? Nursing Education Perspectives. 2022;43(3).
Stevanović A, Božić R, Radović S. Higher education students' experiences and opinion about distance learning during the Covid-19 pandemic. Journal of Computer Assisted Learning. 2021;37(6):1682-1693.
Holzer J, Lüftenegger M, Korlat S, et al. Higher Education in Times of COVID-19: University Students’ Basic Need Satisfaction, Self-Regulated Learning and Well-Being. Ann Arbor, MI: Inter-university Consortium for Political and Social Research. https://doi.org/10.3886/E133601V1. Published 2021. Accessed December 10, 2021.
Van den Broeck A, Vansteenkiste M, De Witte H, Soenens B, Lens W. Capturing autonomy, competence, and relatedness at work: Construction and initial validation of the Work-related Basic Need Satisfaction scale. Journal of Occupational and Organizational Psychology. 2010;83(4):981-1002.
Holzer J, Lüftenegger M, Korlat S, et al. Higher Education in Times of COVID-19: University Students’ Basic Need Satisfaction, Self-Regulated Learning, and Well-Being. AERA Open. 2021a;7:23328584211003164.
Thomas AE, Müller FH, Bieg S. Entwicklung und Validierung der Skalen zur motivationalen Regulation beim Lernen im Studium (SMR-LS). Diagnostica. 2018;64(3):145-155.
Holzer J, Lüftenegger M, Käser U, et al. Students' basic needs and well-being during the COVID-19 pandemic: A two-country study of basic psychological need satisfaction, intrinsic learning motivation, positive emotion and the moderating role of self-regulated learning. International Journal of Psychology. 2021b;56(6):843-852.
Rahm A-K, Töllner M, Hubert MO, et al. Effects of realistic e-learning cases on students’ learning motivation during COVID-19. PLOS ONE. 2021;16(4):e0249425.
King RB. Gender differences in motivation, engagement and achievement are related to students' perceptions of peer—but not of parent or teacher—attitudes toward school. Learning and Individual Differences. 2016;52:60-71.
Stoet G, Geary DC. Sex differences in academic achievement are not related to political, economic, or social equality. Intelligence. 2015;48:137-151.
Fryer LK, Bovee HN. Supporting students' motivation for e-learning: Teachers matter on and offline. The Internet and Higher Education. 2016;30:21-29.
Korlat S, Kollmayer M, Holzer J, et al. Gender differences in digital learning during COVID-19: Competence beliefs, intrinsic value, learning engagement, and perceived teacher support. Frontiers in Psychology. 2021;12(849).
Rodriguez-Besteiro S, Tornero-Aguilera JF, Fernández-Lucas J, Clemente-Suárez VJ. Gender differences in the COVID-19 pandemic risk perception, psychology, and behaviors of Spanish university students. International Journal of Environmental Research and Public Health. 2021;18(8):3908.
Kormos J, Csizér K. Age-related differences in the motivation of learning English as a foreign language: Attitudes, selves, and motivated learning behavior. Language Learning. 2008;58(2):327-355.
Vartanova II. Specifics of the relationship between motivation and values in high school students of different sex and age. Psychological Science and Education. 2018;23(6):67-74.
Staddon RV. Bringing technology to the mature classroom: Age differences in use and attitudes. International Journal of Educational Technology in Higher Education. 2020;17(1):11.
Pelikan ER, Lüftenegger M, Holzer J, Korlat S, Spiel C, Schober B. Learning during COVID-19: the role of self-regulated learning, motivation, and procrastination for perceived competence. Zeitschrift fürErziehungswissenschaft. 2021;24(2):393-418.
Zainuddin Z. Students' learning performance and perceived motivation in gamified flipped-class instruction. Computers & Education. 2018;126:75-88.
