Challenges in student retention in online courses in Digital Health
DOI:
https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1354Keywords:
Digital Health, Student Dropouts, eLearningAbstract
Objective: to describe the offer of a set of online courses in Saúde Digital composed of a self-instructional stage and another tutored, and to study the dropout profile of two enrolled students. Method: retrospective data analysis, with descriptive statistics. Results: We observed high rates of evasion in the self-instructional courses, particularly in the periods between registration and enrollment in the online environment and between enrollment and the start of activities. The approval rates were crescent among the students who remain active. The dropout at tutored courses also took place in the initial phases and it was observed a similar pattern of increasing approval taxes. Conclusion: High levels of avoidance are a common mistake in online courses and reconfirming the expectations of each participant can contribute to a more realistic interpretation of the events in this activity profile.
References
Alturki U, Aldraiweesh A. Integrated TTF and self-determination theories in higher education: The role of actual use of the massive open online courses. Front Psychol [Internet]. 2 de fevereiro de 2023 [citado 9 de junho de 2024];14. Disponível em: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2023.1108325/full DOI: https://doi.org/10.3389/fpsyg.2023.1108325
Dong L, Ji T, Zhang J. Motivational Understanding of MOOC Learning: The Impacts of Technology Fit and Subjective Norms. Behav Sci. fevereiro de 2023;13(2):98. DOI: https://doi.org/10.3390/bs13020098
Huang H, Jew L, Qi D. Take a MOOC and then drop: A systematic review of MOOC engagement pattern and dropout factor. Heliyon. 1o de abril de 2023;9(4):e15220. DOI: https://doi.org/10.1016/j.heliyon.2023.e15220
Bayne S, Ross J. The pedagogy of the Massive Open Online Course (MOOC): the UK view. 6 de março de 2014 [citado 30 de maio de 2024]; Disponível em: https://www.research.ed.ac.uk/en/publications/the-pedagogy-of-the-massive-open-online-course-mooc-the-uk-view
Kop R. The challenges to connectivist learning on open online networks: Learning experiences during a massive open online course. Int Rev Res Open Distrib Learn. 25 de março de 2011;12(3):19–38. DOI: https://doi.org/10.19173/irrodl.v12i3.882
Milligan C, Littlejohn A. Supporting professional learning in a massive open online course. Int Rev Res Open Distrib Learn [Internet]. 3 de outubro de 2014 [citado 30 de maio de 2024];15(5). Disponível em: https://www.irrodl.org/index.php/irrodl/article/view/1855 DOI: https://doi.org/10.19173/irrodl.v15i5.1855
Dwyer M, Prior SJ, Van Dam PJ, O’Brien L, Griffin P. Development and Evaluation of a Massive Open Online Course on Healthcare Redesign: A Novel Method for Engaging Healthcare Workers in Quality Improvement. Nurs Rep Pavia Italy. 14 de novembro de 2022;12(4):850–60. DOI: https://doi.org/10.3390/nursrep12040082
Zhang G, Kim D Wan, Qi J, Zhao C. What factors influence MOOC course completion? An investigation of course completion and workplace benefits from interpersonal attraction theory perspective. Front Psychol [Internet]. 22 de novembro de 2022 [citado 9 de junho de 2024];13. Disponível em: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.1055108/full DOI: https://doi.org/10.3389/fpsyg.2022.1055108
Lee Y, Song HD. Motivation for MOOC learning persistence: An expectancy–value theory perspective. Front Psychol [Internet]. 16 de agosto de 2022 [citado 9 de junho de 2024];13. Disponível em: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.958945/full DOI: https://doi.org/10.3389/fpsyg.2022.958945
RUTE. Redes de Colaboração de Comunidades (RCC) | Rede Nacional de Ensino e Pesquisa (RNP) [Internet]. 2024 [citado 31 de maio de 2024]. Disponível em: https://rcc.rnp.br
CETIC. Cetic.br - Centro Regional para o Desenvolvimento da Sociedade da Informação. 2024 [citado 31 de maio de 2024]. Cetic.br. Disponível em: https://cetic.br
SBIS. SBIS. 2024 [citado 31 de maio de 2024]. Sociedade Brasileira de Informática em Saúde. Disponível em: https://sbis.org.br/
Brasil. Estratégia de Saúde Digital para o Brasil 2020-2028. Ministério da Saúde. Secretaria-Executiva. Departamento de Informática do SUS. [Internet]. 1o ed. Brasília: Ministério da Saúde; 2020. Disponível em: https://bvsms.saude.gov.br/bvs/publicacoes/estrategia_saude_digital_Brasil.pdf
Brasil. Resolução CNS No 510/2016 [Internet]. 2016. Disponível em: https://conselho.saude.gov.br/resolucoes/2016/Reso510.pdf
Feng W, Tang J, Liu TX. Understanding Dropouts in MOOCs. Proc AAAI Conf Artif Intell. 17 de julho de 2019;33(01):517–24. DOI: https://doi.org/10.1609/aaai.v33i01.3301517
Khalil H, Ebner M. MOOCs Completion Rates and Possible Methods to Improve Retention - a Literature Review: World Conference on Educational Multimedia, Hypermedia and Telecommunications. Proc World Conf Educ Multimed Hypermedia Telecommun 2014. 2014;1236–44.
Hill P. e-Literate. 2013 [citado 9 de junho de 2024]. Emerging Student Patterns in MOOCs: A Graphical View. Disponível em: https://eliterate.us/emerging_student_patterns_in_moocs_graphical_view/
Tinto V. Dropout from Higher Education: A Theoretical Synthesis of Recent Research. Rev Educ Res. 1975;45(1):89–125. DOI: https://doi.org/10.3102/00346543045001089
Lee Y, Choi J. A review of online course dropout research: implications for practice and future research. Educ Technol Res Dev. 1o de outubro de 2011;59(5):593–618. DOI: https://doi.org/10.1007/s11423-010-9177-y
Borrella I, Caballero-Caballero S, Ponce-Cueto E. Taking action to reduce dropout in MOOCs: Tested interventions. Comput Educ. 1o de abril de 2022;179:104412. DOI: https://doi.org/10.1016/j.compedu.2021.104412
EDX. MITx. 2024 [citado 31 de maio de 2024]. Statistics and Data Science MicroMasters® Program. Disponível em: https://www.edx.org/masters/micromasters/mitx-statistics-and-data-science
Bandura A. Toward a Psychology of Human Agency. Perspect Psychol Sci. 1o de junho de 2006;1(2):164–80. DOI: https://doi.org/10.1111/j.1745-6916.2006.00011.x
Henderikx MA, Kreijns K, Kalz M. Refining success and dropout in massive open online courses based on the intention–behavior gap. Distance Educ. 2 de setembro de 2017;38(3):353–68. DOI: https://doi.org/10.1080/01587919.2017.1369006
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