University Students’ Readiness and Attitudes to Learn in the Context of Remote Teaching During the COVID-19 Pandemic in Brazil: A Mixed Methods Research Study
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Published:2022-12-31
Issue:3
Volume:14
Page:101-121
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ISSN:1834-0806
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Container-title:International Journal of Multiple Research Approaches
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language:
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Short-container-title:IJMRA
Author:
Lorenzini Elisiane1, Guedes dos Santos José Luís1, Schmidt Catiele Raquel1, Will Daniela Erani Monteiro1, Bazzo de Espíndola Marina1, Cerny Roseli Zen1, Erdmann Alacoque Lorenzini1, Ortiz Stéphani Sena1, Angélica da Silva Isadora1, Onwuegbuzie Anthony J.2ORCID, Ojo Emmanuel O.3
Affiliation:
1. Federal University of Santa Catarina, Florianópolis, Brazil 2. Faculty of Education, University of Cambridge, Cambridge, England and University of South Africa, Pretoria, South Africa 3. University of the Witwatersrand, Johannesburg, South Africa
Abstract
The purpose of this study was to analyze how university students perceive their readiness and attitudes to learn in the context of remote teaching in the COVID-19 pandemic. A fully mixed concurrent equal-status design was conducted involving 1,127 students enrolled at the Federal University of Santa Catarina, in Florianópolis, Brazil, who completed an online questionnaire. Inferential statistics were used to analyze the quantitative data. The qualitative responses were analyzed using the R pourles Analyzes Multidimensinelles Interface by Textes et de Questionnaires (IRAMUTEQ®). The quantitative and qualitative data were integrated throughout the study—yielding an integrated form of mixed methods known as a meta-methods research study, involving the full(er) integration of multiple methods research approaches and mixed methods research approaches. Specifically, the qualitative and quantitative data were integrated via descriptive-based quantitizing and inferential-based quantitizing techniques. No statistically significant difference was identified regarding students’ attitudes towards remote teaching, learning, and assessment as a function of field of study. However, there was a statistically significant difference between the fields with regard to the communication in remote learning (i.e., online communication), indicating that the nature of specific knowledge addressed in the educational process might require different forms of communication in the context of online teaching. In addition, it was identified that younger students, up to 24 years old, reported more difficulties with this online teaching model. The graduate students demonstrated more positive attitudes towards remote learning compared to the undergraduate students. Predominantly, the participants of this study believed “that there is no equivalence between remote and face-to-face teaching,” which can be explained by the lack of autonomy to manage their learning process because only 56.8% consider that they had autonomy to study and to learn. During the qualitative stage, students responded to the following open-ended question: To what extent do you consider your current family situation/home environment suitable for remote learning? Via the analysis using the Iramuteq® software, the following five semantic themes were extracted: (a) Feeling privileged; (b) Difficulties in establishing a study routine; (c) Difficulty in concentrating; (d) Internet access problems; and (e) Structural limitations. The integrated analysis allowed elucidation of the influence of the home environment on remote learning. The integration of data revealed that underage, single, childless, and living-alone students were statistically significantly associated with the thematic categories regarding the difficulty in concentrating, difficulty in establishing a routine of studies, and having problems accessing the Internet. Implications of these findings are discussed.
Publisher
Dialectical Publishing
Reference53 articles.
1. Almeida, M. E. B. (2021). Narrativa das relações entre currículo e cultura digital em tempos de pandemia: Uma experiência na pós-graduação [The narrative of the relationship between the curriculum and digital culture during the pandemic – A post-graduate experience]. Revista Práxis Educacional, 17(45), 52-80. https://doi.org/10.22481/praxisedu.v17i45.8324 2. Appenzeller, S., Menezes, F. H., Santos, C. G., Padilha, R. F., Graça, H. S., & Bragança, J. F. (2020). Novos tempos, novos desafios: Estratégias para equidade de acesso ao ensino remoto emergencial [New times, new challenges: Strategies to ensure equal access to emergency remote education]. Revista Brasileira de Educação Médica, 44(Suppl. 01), Article e0155. https://doi.org/10.1590/1981-5271v44.supl.1-20200420 3. Blankenship, R., & Atkinson, J. K. (2010). Undergraduate student online learning readiness. International Journal of Education Research, 5(2), 44-55. 4. Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing struc¬tural equation models (pp. 136-162). Sage. 5. Callegari-Jacques, S. M. (2005). Biostatistics: Principles and applications (2nd reprint). Artmed.
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