A satisfação do discente com a experiência acadêmica: a pandemia versus o retorno ao presencial

Autores

  • Júlio César Teixeira Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)
  • Emerson Antonio Maccari Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)
  • André Torres Urdan Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)
  • Leonardo Vils Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)

DOI:

https://doi.org/10.24023/FutureJournal/2175-5825/2024.v16i1.832

Palavras-chave:

Satisfação da experiência acadêmica discente, Ensino superior, Covid-19

Resumo

Objetivo: Analisar a percepção da satisfação da experiência acadêmica, dos alunos que participaram de atividades pedagógicas remotas em decorrência da pandemia da Covid-19, comparando-a com o retorno ao presencial.

Originalidade/valor: A pesquisa mostra-se relevante na medida em que os resultados indicam a necessidade de mudança na estratégia da oferta de ensino da Instituição de Ensino Superior (IES), que pode resultar na fidelização dos estudantes.

Método: A pesquisa conduzida caracteriza-se como descritiva, transversal, com abordagem quantitativa, tendo como participantes 81 alunos de uma IES do Estado de São Paulo. Foi aplicada a Escala de Percepção da Satisfação Acadêmica de Schleich et al. (2006), composta por três dimensões: satisfação com o curso, oportunidade de desenvolvimento e satisfação com a IES. A análise foi desenvolvida com a aplicação do teste de normalidade de Kolmogorov-Smirnov e do teste de diferença entre médias de pares emparelhados de Wilcoxon.

Resultados: O estudo demonstra que não há diferença estatística relevante na percepção da satisfação da experiência acadêmica pelos alunos ao comparar o ensino online, ocorrido durante a pandemia da COVID-19, e o presencial, após o término da crise sanitária mundial. Entretanto, a maioria dos alunos (77,8%) desejam uma alteração no formato de ensino ofertado atualmente pela IES, após vivenciarem uma transformação digital (TD), ainda que incipiente, no ensino.

Conclusão: O presente estudo contribui com a teoria na medida em que é relatado um fator impulsionador para adoção da TD que não constava na revisão da literatura acerca do tema. A pesquisa aprimora a compreensão sobre as métricas a serem utilizadas pelas organizações, em linha com a lente teórica na qual está embasada, que propõe a utilização de indicadores capazes de capturar o sentimento dos clientes frente à uma TD.

Downloads

Não há dados estatísticos.

Biografia do Autor

Júlio César Teixeira, Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)

Doutorando em Administração pela Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil).

Emerson Antonio Maccari, Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)

Livre Docente em Administração pela Universidade de São Paulo - USP, São Paulo, (Brasil). Professor do Programa de Pós-graduação em Administração da Universidade Nove de Julho - UNINOVE, São Paulo.

André Torres Urdan, Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)

Doutor em Administração pela Universidade de São Paulo - USP, São Paulo, (Brasil). Professor do Programa de Pós-graduação em Administração da Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil).

Leonardo Vils, Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)

Doutor em Administração pela Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil).  Professor do Programa de Pós-graduação em Administração da Universidade Nove de Julho.

Referências

Alamri, M. M. (2022). Investigating students’ adoption of MOOCs during COVID-19 pandemic: students’ academic self-efficacy, learning engagement, and learning persistence. Sustainability 14:714. https://doi.org./10.3390/su14020714

Almossa, S. Y. (2021). University students' perspectives toward learning and assessment during COVID-19. Education and Information Technologies, 26(6), 7163-7181. https://doi.org/10.1007/s10639-021-10554-8

Antonakaki, D., Fragopoulou, P., & Loannidis, S. (2021). A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks. Expert Systems with Applications, 164, February. https://doi.org/10.1016/j.eswa.2020.114006

Assis, R. C. C., Moura, G. L., & Alves, M. A. (2020). Satisfação dos estudantes de cursos de gestão de uma instituição superior pública. ForScience, 8(1), e00656. https://doi.org/10.29069/forscience.2020v8n1.e656

Astin, A.W. (1984), “Student involvement: a developmental theory for higher education”, Journal of College Student Personnel, Vol. 25 No. 4, pp. 297-308.

Astin, A. W. (1993). What matters in College? Four Critical Years revisited. San Francisco: Jossey-Bass Publishers.

Bacomo, A., Daculap, L., Ocampo, M., Paguia, C., Pentang, J., & Bautista, R. (2022). Modular Learning Efficiency: Learner’s Attitude and Performance Towards Self-Learning Modules. International Multidisciplinary Research Journal. https://doi.org/10.54476/s149512.

Bamoallem, B., and Altarteer, S. (2022). Remote emergency learning during COVID-19 and its impact on university students’ perception of blended learning in KSA. Educ. Inf. Technol. 27, 157–179. https://doi.org/10.1007/s10639-021-10660-7

Beckers, S. F. M., van Doorn, J., & Verhoef, P. C. (2018). Good, better, engaged? The effect of company-initiated customer engagement behavior on shareholder value. Journal of the Academy of Marketing Science, 46(3), 366–383. https://doi.org/10.1007/s11747-017-0539-4

Belaid, F., Ben Amar, A., Goutte, S. and Guesmi, K. (2021), “Emerging and advanced economies markets behaviour during the COVID-19 crisis era”, International Journal of Finance and Economics. https://doi.org/10.1002/ijfe.2494

Benito, Á., Dogan Yenisey, K., Khanna, K., Masis, M. F., Monge, R. M., Tugtan, M. A., Vega Araya, L. D., & Vig, R. (2021). Changes That Should Remain in Higher Education Post COVID-19: A Mixed-Methods Analysis of the Experiences at Three Universities. Higher Learning Research Communications, 11. https://doi.org/10.18870/hlrc.v11i0.1195

Bergel, M., Frank, P. and Brock, C. (2019), "The role of customer engagement facets on the formation of attitude, loyalty and price perception", Journal of Services Marketing, Vol. 33 No. 7, pp. 890-903. https://doi.org/10.1108/JSM-01-2019-0024

Bozkurt, A. (2022). Resilience, Adaptability, and Sustainability of Higher Education: A Systematic Mapping Study on the Impact of the Coronavirus (COVID-19) Pandemic and the Transition to the New Normal. https://jl4d.org/index.php/ejl4d/article/view/590

Brasil. (2020a). Lei nº 13.979, de 6 de fevereiro de 2020, Diário Oficial da União 27, Seção 1, Página 1. (2020). Brasília. https://www.in.gov.br/web/dou/-/lei-n-13.979-de- 6-de-fevereiro-de-2020-242078735

Brasil. (2020b). Lei nº 14.040, de 18 de agosto de 2020, Diário Oficial da União 154, Seção 1, Página 4. (2020). Brasília. https://www.planalto.gov.br/ccivil_03/_ato2019-2022/2020/Lei/L14040.htm

Cicha, K., Rizun, M., Rutecka, P., & Strzelecki, A. (2021). COVID-19 and Higher Education: First-Year Students’ Expectations toward Distance Learning. Sustainability, 13, 1889. https://doi.org/10.3390/su13041889

CNS, Conselho Nacional de Saúde (2016). Resolução nº 510, de 07 de abril de 2016. https://bvsms.saude.gov.br/bvs/saudelegis/cns/2016/res0510_07_04_2016.html.

Companiesmarketcap (2023). https://companiesmarketcap.com/

Conrad, C.; Deng, Q.; Caron, I.; Shkurska, O.; Skerrett, P.; Sundararajan, B. How student perceptions about online learning difficulty influenced their satisfaction during Canada’s Covid-19 response. Br. J. Educ. Technol. 2022, 53, 534–557. https://doi.org/10.1111/bjet.13206

Dougherty, D., & Dunne, D. (2012). Digital science and knowledge boundaries in complex innovation. Organization Science, 23(5), 1467–1484. https://doi.org/10.1287/orsc.1110.0700

Dragan, M. and Ivana, D. (2015), “Graduates’ satisfaction towards service quality in higher education: an empirical investigation”, Managerial Challenges in the Contemporary Society, Vol. 8 No. 2, pp. 34-38.

Elliot, K. (2002), “Key determinants of student satisfaction”, Journal of College Student Retention, Vol. 4 No. 3, pp. 271-279. https://doi.org/10.2190/B2V7-R91M-6WXR-KCCR

Eser, M. (2022). A Survey Study for The Comparison of Meta-Analysis Softwares. Bartın University Journal of Faculty of Education. https://doi.org/10.14686/buefad.747948.

Field, H., Holley, W. and Armenakis, A. (1974), “Graduate students’ satisfaction with graduate

education: intrinsic versus extrinsic factors”, Journal of Experimental Education, Vol. 43 No. 2, pp. 8-15. https://doi.org/10.1080/00220973.1974.10806312

Finlay, M. J., Tinnion, D. J., and Simpson, T. (2022). A virtual versus blended learning approach to higher education during the COVID-19 pandemic: the experiences of a sport and exercise science student cohort. J. Hosp. Leis. Sport Tour. Educ. 30:100363. https://doi.org/10.1016/j.jhlste.2021.100363

Gallasch, C., Cunha, M., Pereira, L., & Silva-Junior, J. (2020). Prevenção relacionada à exposição ocupacional do profissional de saúde no cenário de COVID-19. Re¬vista Enfermagem UERJ, 28, e49596. https://doi.org/10.12957/reuerj.2020.49596

García-Morales, V. J., Garrido-Moreno, A., and Martín-Rojas, R. (2021). The transformation of higher education after the COVID disruption: emerging challenges in an online learning scenario. Front. Psychol. 12:616059. https://doi.org/10.3389/fpsyg.2021.616059

Gauvreau, K., & Pagano, M. (1993). Student's t test.. Nutrition, 9 4, 386 . https://doi.org/10.1007/978-1-4020-5614-7_3378.

Gregg, W. (1972), “Several factors affecting graduate student satisfaction”, Journal of Higher

Education, Vol. 43 No. 6, pp. 483-498. https://doi.org/10.1080/00221546.1972.11774977

Grönroos, C., & Voima, P. (2013). Critical service logic: Making sense of value creation and co-creation. Journal of the Academy of Marketing Science, 41(2), 133–150. https://doi.org/10.1007/s11747-012-0308-3

Hair JR. et al. Fundamentos de Métodos de Pesquisa em Administração. Porto Alegre: Bookman, 2007.

Hartman, D. and Schmidt, S. (1995), “Understanding student/alumni satisfaction from a consumer’sperspective: the effects of institutional performance and program outcomes”, Research in Higher Education, Vol. 36 No. 2, pp. 197-217. https://doi.org/10.1007/BF02207788

Heo, H., Bonk, C. J., and Doo, M. Y. (2021). Enhancing learning engagement during COVID-19 pandemic: self-efficacy in time management, technology use, and online learning environments. J. Comput. Assist. Learn. 37, 1640–1652. https://doi.org/10.1111/jcal.12603

Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The Difference between Emergency Remote Teaching and Online Learning. Educause Review. Creative Commons BY-NC-ND 4.0 International License, https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning

Hoffman, L. Donna and Novak, P. Thomas (2017). Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach, Journal of Consumer Research, Volume 44, Issue 6, April 2018, Pages 1178–1204. https://doi.org/10.1093/jcr/ucx105

Ilieva, G., Yankova, T., Klisarova-Belcheva, S., & Ivanova, S. (2021). Effects of COVID-19 Pandemic on University Students’ Learning. Information. 12(4), 163. https://doi.org/10.3390/info12040163

Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (INEP). (2021). Recuperado de https://www.gov.br/inep/pt-br/areas-de-atuacao/pesquisas-estatisticas-e-indicadores/censo-da-educacao-superior/resultados

ISO 9241-210. Ergonomics of Human-System Interaction—Part. 11: Usability: Definitions and Concepts; International Organization for Standardization: Geneva, Switzerland, 2018.

Jackson, K., & Konczos Szombathelyi, M. (2022). The influence of COVID-19 on sentiments of higher education students - prospects for the spread of distance learning. Economics and Sociology, 15(3), 216-247. https://doi.org/10.14254/2071-789X.2022/15-3/13

James, M. and Yun, D. (2018), "Exploring student satisfaction and future employment intentions: A case study examination: is there a link between satisfaction and getting a job?", Higher Education, Skills and Work-Based Learning, Vol. 8 No. 2, pp. 117-133. https://doi-org.ez345.periodicos.capes.gov.br/10.1108/HESWBL-03-2017-0019

Jamovi, The jamovi project (2022). jamovi. (Version 2.3) [Computer Software]. Retrieved from https://www.jamovi.org.

Jie, Li., Jiangyan, Wang., Lijian, Yang. (2021). Kolmogorov–Smirnov simultaneous confidence bands for time series distribution function. Computational Statistics. https://doi.org/10.1007/S00180-021-01149-5

Kane, G. C., Palmer, D., Philips, A. N., Kiron, D., & Buckley, N. (2015). Strategy, not technology, drives digital transformation. MIT Sloan Management Review and Deloitte University Press, 14, 1–25. https://sloanreview.mit.edu/projects/strategy-drives-digital-transformation/

Lamberton, C., & Stephen, A. T. (2016). A thematic exploration of digital, social media, and mobile marketing: Research evolution from 2000 to 2015 and an agenda for future inquiry. Journal of Marketing, 80(6), 146–172. https://doi.org/10.1509/jm.15.0415

Lamo, P., Perales, M., and de la Fuente Valentín, L. (2022). Case of study in online course of computer engineering during COVID-19 pandemic. Electronics 11:578. https://doi.org/10.3390/electronics11040578

Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/jm.15.0420

Li, F., Nucciarelli, A., Roden, S., & Graham, G. (2016). How smart cities transform Operations models: A new research agenda for operations management in the digital economy. Production Planning & Control, 27(6), 514–528. https://doi.org/10.1080/09537287.2016.1147096

Liu, D. Y., Chen, S. W., & Chou, T. C. (2011). Resource fit in digital transformation – Lessons learned from the CBC bank global e-banking project. Management Decision, 49(10), 1728–1742. https://doi.org/10.1108/00251741111183852

Loebbecke, C., & Picot, A. (2015). Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda. Journal of Strategic Information Systems, 24(3), 149–157. https://doi.org/10.1016/j.jsis.2015.08.002.

Marinoni, G., Van’t Land, H., and Jensen, T. (2020). The impact of Covid-19 on higher education around the world. IAU global survey report, 23. https://www.uniss.it/sites/default/files/news/iau_covid19_and_he_survey_report_final_may_2020.pdf

Matus, N., Rusu, C., & Cano, S. (2021). Student eXperience: A Systematic Literature Review. Applied Sciences, 11(20), 9543. https://doi.org/10.3390/app11209543

Miksza, Peter, and others, 'Determining Differences with Inferential Statistics', Music Education

Research: An Introduction (New York, 2023; online edn, Oxford Academic, 23 Feb. 2023). https://doi.org/10.1093/oso/9780197639757.003.0018

Mohamed Hashim, M., Tlemsani, I. & Matthews, R. Higher education strategy in digital transformation. Educ Inf Technol 27, 3171–3195 (2022). https://doi.org/10.1007/s10639-021-10739-1

Mollie Dollinger & Jason Lodge (2020) Student-staff co-creation in higher education: an evidence-informed model to support future design and implementation, Journal of Higher Education Policy and Management, 42:5, 532-546. https://doi.org/10.1080/1360080X.2019.1663681

Organização Mundial da Saúde (OMS) (2020). Rollings upda¬tes on coronavirus disease. Recuperado de https:// www.who.int/emergencies/diseases/novel-corona¬virus-2019/events-as-they-happen

Ożadowicz, A. (2020). Modified blended learning in engineering higher education during the COVID-19 lockdown—building automation courses case study. Educ. Sci. 10:292. https://doi.org/10.3390/educsci10100292

Pagani, M., & Pardo, C. (2017). The impact of digital technology on relationships in a business network. Industrial Marketing Management, 67, 185–192. https://doi.org/10.1016/j.indmarman.2017.08.009

Pascarella, E. T. & Terenzini, P. T. (2005). How College Affects Students: a third decade of research. 2nd. ed. San Francisco: Jossey-Bass.

Punjani, K. K., and Mahadevan, K. (2022). Transitioning to online learning in higher education: influence of awareness of COVID-19 and self-efficacy on perceived net benefits and intention. Educ. Inf. Technol. 27, 291–320. https://doi.org/10.1007/s10639-021-10665-2

Razali, F., Sulaiman, T., Ayub, A. F. M., and Majid, N. A. (2022). Effects of learning accessibility as a mediator between learning styles and blended learning in higher education institutions during the Covid-19 pandemic. Asian J. Univ. Educ. 18, 569–584. https://doi.org/10.24191/ajue.v18i2.18189

Ribeiro, Thiago de Luca Sant´ana., Costa, Benny Kramer., Ferreira, Manuel Portugal., & Freire, Otávio Bandeira de Lamônica. (2023). Value co-creation in tourism and hospitality: A systematic literature review. European Management Journal. 41(6), 985-999. https://doi.org/10.1016/j.emj.2022.12.001

Ribeiro, Thiago de Luca Sant´ana., Kevin, Kambou Sie., Costa, Benny Kramer., & Urdan, André Torres. (2019). Conhecendo as bases da Cocriação de Valor. Revista Eletrônica de Administração e Turismo. 13(1), 1906-1926. http://dx.doi.org/10.15210/reat.v13i1.14629

Rof, A., Bikfalvi, A., and Marques, P. (2022). Pandemic-accelerated digital transformation of a born digital higher education institution. Educ. Technol. Soc. 25, 124–141. https://link.gale.com/apps/doc/A695154671/AONE?u=anon~f2b24947&sid=googleScholar&xid=c3543ea3

Şahin, M., & Aybek, E. (2019). Jamovi: An Easy to Use Statistical Software for the Social Scientists. International Journal of Assessment Tools in Education, 6, 670-692. https://doi.org/10.21449/ijate.661803.

Schallmo, D., Williams, C., & Boardman, L. (2017). Digital Transformation of business models — Best practice, enablers, and roadmap. International Journal of Innovation Management, 21(8), 1740014. https://doi.org/10.1142/S136391961740014X

Schleich, A. L. R., Polydoro, S. A. J., & Santos, A. A. A. dos. (2006). Escala de satisfação com a experiência acadêmica de estudantes do ensino superior. Avaliação Psicológica, 5(1), 11–20. https://www.redalyc.org/articulo.oa?id=335027179003

Sebastian, I. M., Ross, J. W., Beath, C., Mocker, M., Moloney, K. G., & Fonstad, N. O. (2017). How big old companies navigate digital transformation. MIS Quarterly Executive, 16(3), 197–213. https://aisel.aisnet.org/misqe/vol16/iss3/6/

Soares, A. P. C., Vasconcelos, R. M. & Almeida, L. S. (2002). Adaptação e Satisfação na Universidade: Apresentação e validação do Questionário de Satisfação Acadêmica. Contextos e dinâmica da vida acadêmica, Guimarães: Universidade do Minho, 153-165. https://hdl.handle.net/1822/12114

Statista (2019). Retail e-commerce sales worldwide from 2014 to 2021 (in billion U.S. dollars). https://www.statista.com/statistics/379046/worldwideretail-e-commerce-sales

Stanford Digital Education (2022). Lessons from Teaching and Learning at Stanford During the COVID-19 Pandemic. https://pandemiced.stanford.edu/

Tan, C. W., & Pan, S. L. (2003). Managing e-transformation in the public sector: An egovernment study of the inland revenue authority of Singapore (IRAS). European Journal of Information Systems, 12(4), 269–281. https://doi.org/10.1057/palgrave.ejis.3000479

Tee M, Rasli A, Toh JSSK, Abas IH, Zhou F and Liew CS (2022) A Delphi method on the positive impact of COVID-19 on higher education institutions: Perceptions of academics from Malaysia. Front. Psychol. 13:1013974. https://doi.org/10.3389/fpsyg.2022.1013974

Umair, M., Hakim, A., Hussain, A., & Naseem, S. (2021). Sentiment Analysis of Students’ Feedback before and after COVID-19 Pandemic. International Journal on Emerging Technologies, 12(2), 177-182. www.researchtrend.net

Verhoef, P. C., Stephen, A. T., Kannan, P. K., Luo, X., Abhishek, V., Andrews, M., Zhang, Y. (2017). Consumer connectivity in a complex technology-enabled, and mobile-oriented world with smart products. Journal of Interactive Marketing, 40, 1–8. https://doi.org/10.1016/j.intmar.2017.06.001

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889-901. https://doi.org/10.1016/j.jbusres.2019.09.022

Vyacheslav, Yu., Sinitsyn., Ekaterina, S., Stupakova. (2021). Empirical study of the power of the kolmogorov–smirnov statistical test in problems of testing hypotheses about the distribution law. Vestnik RGGU. Seriâ: Informatika. Informacionnaâ bezopasnostʹ. Matematika. https://doi.org/10.28995/2686-679x-2022-3-96-120

Warren Bebbington (2021) Leadership strategies for a higher education sector in flux, Studies in Higher Education, 46:1, 158-165, https://doi.org/10.1080/03075079.2020.1859686

Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). The new organizing logic of digital innovation: An agenda for information systems research. Information Systems Research, 21(4), 724–735. https://doi.org/10.1287/isre.1100.0322

Yousfi, M., Zaied, Y.B., Cheikh, N.B., Lahouel, B.B. and Bouzgarrou, H. (2021), “Effects of the COVID-19 pandemic on the US stock market and uncertainty: a comparative Assessment between the first and second waves”, Technological Forecasting and Social Change, Vol. 167. https://doi.org/10.1016/j.techfore.2021.120710

Zakaria, F. (2020). Dez lições para um mundo pós-pandemia. Nova York: WW Norton & Company.

Zheng, W., Ma, Y. Y., and Lin, H. L. (2021). Research on blended learning in physical education during the covid-19 pandemic: a case study of Chinese students. SAGE Open 11, 1–12. https://doi.org/10.1177/21582440211058196

Zicun, Cong., Lingyang, Chu., Yu, Yang., Jian, Pei. (2020). Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test. arXiv: Learning. https://arxiv.org/abs/2011.01223

Downloads

Publicado

2024-03-01

Como Citar

Teixeira, J. C., Maccari, E. A., Urdan, A. T., & Vils, L. (2024). A satisfação do discente com a experiência acadêmica: a pandemia versus o retorno ao presencial. Future Studies Research Journal: Trends and Strategies [FSRJ], 16(1), e832. https://doi.org/10.24023/FutureJournal/2175-5825/2024.v16i1.832

Artigos mais lidos pelo mesmo(s) autor(es)