Self-Regulated Learning Among MOOC Students – A Validation Study of the OSLQ in the Corporate E-Learning Environment of the Brazilian Federal Police

Authors

DOI:

https://doi.org/10.18264/eadf.v16i1.2647

Keywords:

Self-Regulated Learning, E-learning, MOOC, OSLQ

Abstract

The Brazilian Federal Police offers distance (e-learning) courses to train and specialize public security professionals. This study investigated self-regulated learning (SRL) characteristics in a population of 2,579 graduates from a Massive Open Online Course (MOOC) on the corporate platform ANP.net. Using the Online Self-Regulated Learning Questionnaire (OSLQ), a statistically significant sample was obtained (n=335; 70.00% male; mean age 46.18 years). The overall reliability analysis of the original instrument showed high internal consistency (Cronbach's Alpha α=0.894). For validation in a new context, a Confirmatory Factor Analysis (CFA) indicated the need for model adjustments. The re-specified 19-item model demonstrated adequate fit indices (Cronbach's Alpha α=0.884; χ²/df = 1.857; RMSEA = 0.051; GFI = 0.920) , confirming its plausibility for this novel sample. The results indicate that: (1) the adoption of metacognitive strategies is the most frequent; (2) there are significant differences in SRL strategies between students with higher and lower OSLQ scores; and (3) there is a positive correlation between higher scores and course approval. The data reinforce that supporting SRL can enhance student performance in corporate e-learning environments.

Keywords: Self-regulated learning. MOOC. Corporate education. Public safety.

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Author Biographies

Murilo Luiz Cardoso, Polícia Federal

Holds a Bachelor's degree in Business Administration from the University of Brasília (UnB, 1999); a Graduate Extension in Strategic Planning from the Regional Administration Council of the Federal District (CRA-DF, 2000); an MBA in Marketing from ICAT/UDF (2002); a Postgraduate Extension in Higher Education Teaching from ICAT/UDF (2002); and a Postgraduate degree in Instructional Design for Distance Education from Centro Universitário SENAC/SP (2018).

Currently, he serves in the Institutional Development Sector of the Technical-Scientific Directorate and also acts as Academic Supervisor for Continuing Education Courses at the National Police Academy, where he also teaches in police training and development programs. He is part of the pool of prospective faculty members for University Extension and Graduate Programs at the National Police Academy, where he has previously served as an instructor and thesis advisor.

He has held the position of Federal Police Officer (Escrivão de Polícia Federal) since 2003. He has also taught undergraduate and graduate courses at several university centers in the Federal District and Goiás, delivering subjects such as General Management Theory, Human Resource Management, Marketing Management, Global Marketing, Organization, Systems and Methods, and Strategic Planning.

He has experience in the field of Administration, with an emphasis on Public Management, Strategic Management, Human Resources, and School Administration, as well as in Education, with a focus on corporate and adult education.
(Information provided by the author.)

Andersson Pereira dos Santos, Polícia Federal

Federal Police Officer. Postdoctoral student of the Postdoctoral Program at the National School of Public Administration - ENAP (2025). Doctor in Business Administration from the University of Brasília - UnB (2021). Master in Public Administration from the University of Brasília - UnB (2015). Master in Human Resources Management and Talent Management in the Security from the University Carlos III of Madrid - UC3M (2023). Specialist (MBA) in People Management in the Public Service from the National School of Public Administration - ENAP (2012) and Graduated in Law from the Federal University of Bahia - UFBA (2003). Coordinator of Recruitment and Selection of the Federal Police of Brazil. Coordinator of the MBA in Police Management at the National Police Academy - ANP/PF. Member of the Editorial Board of the National Police Academy (ANP Editora). Professor and Tutor at the National Police Academy. Former Judiciary Analyst at the Regional Electoral Court of Alagoas and Judiciary Technician at the Superior Court of Justice. Former public employee of Caixa Econômica Federal.

Arnaldo Mauerberg Junior, Universidade de Brasília

Assistant Professor (Political Science)

Economist graduated from the Álvares Penteado School of Commerce Foundation (FECAP), Master in Economics from the State University of São Paulo Júlio de Mesquita Filho (UNESP) and PhD in Public Administration and Government from the Getulio Vasrgas Foundation (FGV). I was also a Guest PhD Candidate in the Department of Political Science at the Massachusetts Institute of Technology (MIT). I have research and knowledge interest applied in the following topics: Executive-legislative relations, lobbying, public policies, public administration, index numbers and quantitative methodology.

Marina Figueiredo Moreira, Universidade de Brasília

Associate Professor (Business School)

Marina Moreira has a postdoctoral fellow in Business from the University of Nottingham (UK). It is P.H.d in Sciences de Géstion by Université Aix-Marseille (France). She holds a PhD in Management from PPGA/UnB (Brazil). She was coordinator of PGAP / UnB - Professional Postgraduate Program in Public Administration. She is Associate Professor in the Department of Administration of UnB. She is a professor of the Professional Doctorate in Digital Governance and Transformation of UFT. He is the leader of the DP Center for Excellence and Transformation of the Public Sector (NEXT). He is a member of RESER - European Association for Research on Services. She is the founder and member of the Board of REDLAS - Latin American and Caribbean Network of Researchers in Services. It has research related to Innovation, Innovation in Services, Innovation in Public Services, Change Management and Innovation in the Public Sector. (Text informed by the author)

References

ALLGOOD, W.et al.Factors that influence study. In R. F. Flippo y D. C. Caverly (Coord.), Handbook of college

reading and study strategy research, (pp. 201-219). NJ: LEA, 2000.

AGÊNCIA NACIONAL DE TELECOMUNICAÇÕES (Brasil). Relatório do Índice Brasileiro de Conectividade – IBC de

Brasília: Anatel, 2025. https://informacoes.anatel.gov.br/paineis/meu-municipio/indice-brasileiro-deconectividade. Acesso em: 7 de maio 2025.

BANDURA, A. Self-efficacy: The exercise of control. Freeman, 1997.

BANDURA, A.; AZZI, R. G.; POLYDORO, S. Teoria Social Cognitiva: conceitos básicos. Porto Alegre: ArtMed,

BARNARD, L.et al. Measuring self-regulation in online and blended learning environments. The Internet and

Higher Education, 12, 1–6, 2009.DOI: https://doi.org/10.1016/j.iheduc.2008.10.005. Acesso em 22 de out.

BARNARD, L.; OSLAND, V.; LAN, W. Profiles in Self-regulated Learning in the Online Learning Environment. The

International Review of Research in Open and Distributed Learning, 11(1), 61-80, 2010.DOI:

https://doi.org/10.19173/irrodl.v11i1.769. Acesso em 22 de out. 2023.

BRANDÃO, C. R. O que é educação? 46ª ed. São Paulo: Brasiliense, 2005.

BRASIL. Ministério da Gestão e da Inovação em Serviços Públicos. Painel Estatístico de Pessoal do Governo

Federal. Brasília, [s.d.]. Disponível em: http://painel.pep.planejamento.gov.br/. Acesso em: 16 de abr. 2025.

BROADBENT, J.; POON, W. L. Self-Regulated Learning Strategies and Academic Achievement in Online Higher

Education Learning Environments: a systematic review. The Internet and Higher Education, 27, 1–13, 2015.doi:

https://doi.org/10.1016/j.iheduc.2015.04.007. Acesso em 10 de abr. 2025.

BYRNE, B. M. Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd

ed.). Routledge, 2010.

CELIK, B.; CAGILTAY, K. Uncovering MOOC Completion: A Comparative Study of Completion Rates from

Different Perspectives. Open Praxis, 16(3), 445–456. 2024. https://doi.org/10.55982/openpraxis.16.3.606.

Acesso em 19 mar. 2025.

CORMIER, D. The CCK08 MOOC – Connectivism course, ¼ way. Dave’s Educational Blog [blog post 2 October],

CUNHA, R. M. R. daet al. Os recursos tecnológicos como potencializadores da interdisciplinaridade no espaço

escolar. Revista Ciências Humanas, 5 (1 e 2), 2013.https://www.rchunitau.com.br/index.php/rch/article/view/42. Acesso em 15 de dez. 2023.

DA SILVA, J. C.; DRUMOND E CASTRO, M. C. Dimensões relacionadas à evasão na educação a distância: análise

de uma proposta de categorização. Revista Valore, 7, 217–252. 2022. https://doi.org/10.22408/reva7020221387217-252. Acesso em 22 de mar. 2025.

DELEN, E.; LIEW, J. The use of interactive environments to promote self-regulation in online learning: A

Literature Review. European Journal of Contemporary Education, 15(1), 24-33, 2016.DOI: https://doi.org/10.13187/ejced.2016.15.24. Acesso em 22 de mar. 2025.

DIEP, N. A.et al. Predicting adult learners’ online participation: Effects of altruism, performance expectancy,

and social capital. Computers & Education, 101, 84–101, 2016. DOI:

https://doi.org/10.1016/j.compedu.2016.06.002. Acesso em 15 de dez. 2023.

DOIDGE, N. O cérebro que se transforma. Editora Record, 2016.

Características da Aprendizagem Autorregulada de Alunos de MOOC: Estudo de Validação do OSLQ no Ambiente de E-Learning Corporativo da Polícia Federal ESCOLA NACIONAL DE ADMINISTRAÇÃO PÚBLICA (Brasil). EV.G em números. Brasília, DF: Enap, 2025. Disponível em: https://emnumeros.escolavirtual.gov.br/. Acesso em: 10 abr. 2025.

FREIRE, P. Pedagogia da autonomia: Saberes necessários à prática educativa. 54ª ed. Rio de Janeiro: Editora

Paz e Terra, 2016.

FUNG, J. J.; YUEN, M.; YUEN, A. H. Validity evidence for a Chinese version of the online self-regulated learning

questionnaire with average students and mathematically talented students.Measurement and Evaluation in

Counseling and Development, 51(2), 111–124. 2018. DOI: https://doi.org/10.1080/07481756.2017.1358056.

Acesso em 22 de out. 2025.

HANDOKO, E.et al.Goal setting and MOOC completion: A study on the role of self-regulated learning in student

performance in massive open online courses. The International Review of Research in Open and Distributed

Learning, 20(3). 2019. https://doi.org/10.19173/irrodl.v20i4.4270. Acesso em 5 de jan. 2025.

HU, L. T.; BENTLER, P. M. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria

versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55, 1999. DOI:

https://doi.org/10.1080/10705519909540118. Acesso em 5 de jan. 2025.

INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA (Brasil). Censo 2022: panorama. Rio de Janeiro: IBGE,

Disponível em: https://censo2022.ibge.gov.br/panorama/. Acesso em: 16 abr. 2025.

JORDAN, K. Massive open online course completion rates revisited: Assessment, length and attrition. The

International Review of Research in Open and Distributed Learning, 16(3), 341–358, 2015.DOI:

https://doi.org/10.19173/irrodl.v16i3.2112. Acesso em 16 abr. 2025.

KILIS, S.; YILDIRIM, Z. Online Self-regulation Questionnaire: Validity and Reliability Study of Turkish

Translation.Cukurova University Faculty of Education Journal, vol.47, no.1, 233-245, 2018. DOI:

https://doi.org/10.14812/cuefd.298791. Acesso em 22 de out. 2023.

KIZILCEC, R. F.; PÉREZ-SANAGUSTÍN, M. J.; MALDONADO, J. Self-regulated learning strategies predict learner

behavior and goal attainment in Massive Open Online Courses. Computers & Education, Volume 104, pp 18-33,

ISSN 0360-1315. 2017. https://doi.org/10.1016/j.compedu.2016.10.001. Acesso em 22 de out. 2023.

KLINE, R. B. Principles and practice of structural equation modeling (4th ed.). The Guilford Press, 2016.

LEITE, L. S.et al.Tecnologia educacional: descubra suas possibilidades na sala de aula. 2ª ed. Petrópolis: Vozes,

LÉVY, P. Cibercultura. São Paulo: Editora 34, 2010.

LITTLEJOHN, A.et al. Learning in MOOCs: Motivations and self-regulated learning. The Internet and Higher

Education, [s. l.], v. 29, p. 29-35. 2016. https://doi.org/10.1016/j.iheduc.2015.12.003. Acesso em: 16 abr. 2025.

MARTINEZ-LOPEZ, R.et al.Online Self-Regulated Learning Questionnaire in a Russian MOOC. Computers in

Human Behavior. Volume 75, pp 966-974, 2017. DOI: https://doi.org/10.1016/j.chb.2017.06.015. Acesso em 22

de out. 2023.

MATAR, J. Aprendizagem em ambientes virtuais: teorias, conectivismo e MOOC. Teccogs –Revista Digital de

Tecnologias Cognitivas, nº 7 (jan-jun, 2013). Revistas da PUC-SP, 2013.https://revistas.pucsp.br/index.php/teccogs/article/view/52846. Acesso em 22 de out. 2023.

MATTA, C. E. da; FIGUEIREDO, A. P. S. Mooc: Transformação das práticas de aprendizagem. In: ESUD – X

Congresso Brasileiro de Ensino Superior a Distância Belém/PA, p. 1 - 15, junho 2013 – UNIREDE., 2013.DOI:

https://doi.org/10.13140/RG.2.1.1392.8086. Acesso em 15 de jan. 2025.

MOYA, M. Los MOOC/COMA: Un nuevo reto educativo para el siglo XXI. Una metodología didáctica para el

aprendizaje en línea.Virtualis, 4(8), 84–103, 2013.https://dialnet.unirioja.es/servlet/articulo?codigo=7085449.

Acesso em 5 de jan. 2025.

OLIVEIRA, S. G.; ALMEIDA, V. E. de; TROTTA, L. M. As tecnologias e o mundo globalizado: reflexões sobre o

cotidiano contemporâneo.Revista Educação Pública, v. 20, nº 2., 2020.DOI: https://doi.org/10-18264/REP.

Acesso em 10 de jan. 2025.

PINTO-SANTUBER, C.et al.Cuestionario de autorregulación del aprendizaje en línea (Online Self-regulated

Learning Questionnaire, OSLQ): estudio de validez y fiabilidad de la versión en español.Estudios pedagógicos

(Valdivia), 46(2), 251-266, 2020.http://dx.doi.org/10.4067/S0718-07052020000200251. Acessoem 10 de jan.

de 2025.

PINTRICH, P. R. The role of goal orientation in self-regulated learning. In M. Boekaerts, P.R. Pintrich, M. Zeidner

(Eds.), Handbook of self-regulation, Academic Press, San Diego (2000), pp. 451-502, 2000.

PNUD; IPEA; FJP. Atlas do Desenvolvimento Humano no Brasil 2021. Brasília: PNUD, 2022.

http://www.atlasbrasil.org.br/. Acesso em 14 de abr. 2025.

REICH, J. MOOC completion and retention in the context of student intent. EDUCAUSE Review, 12(8),

MOOC Completion and Retention in the Context of Student Intent | EDUCAUSE Review.Acesso em 22 de

out. 2023.

RODRIGUES, R. L.et al.Validação de um instrumento de mensuração de autorregulação da aprendizagem em

contexto brasileiro usando análise fatorial confirmatória. Revista Novas Tecnologias Na Educação,14(1),

https://doi.org/10.22456/1679-1916.67337. Acesso em 5 de jan. de 2025.

RODRIGUES, H.et al.Tracking e-learning through published papers: A systematic review. Computers &

Education, Volume 136, Pages 87-98, 2019.https://doi.org/10.1016/j.compedu.2019.03.007. Acesso em: 16

abr. 2025.

ROTH, A.; OGRIN, S.; SCHMITZ, B. Assessing self-regulated learning in higher education: A systematic literature

review of self-report instruments. Educational Assessment, Evaluation and Accountability, 28(3), 225–250,

DOI: https://doi.org/10.1007/s11092-015-9229-2.Acesso em 10 de jan. 2025.

SCHUNK, D. H. Self-Regulated Learning: The Educational Legacy of Paul R. Pintrich. Educational Psychologist,

(2), 85–94, 2005.https://doi.org/10.1207/s15326985ep4002_3. Acesso em 10 de jan. 2025.

SIEMENS, G. MOOC are really a platform. Elearnspace, 2012.

SILVA, S. W.et al.E-learning e educação corporativa: a análise de um programa a partir do princípio da

conectividade. Revista ESPACIOS, Vol. 37 (Nº 26),

http://repositorio.fjp.mg.gov.br/handle/123456789/3370. Acesso em 5 de jan.2025.

TAGHIZADE, A.; AZIMI, E.; MIRZAEE, R. Validity Evidence for a Persian Version of the Online Self-Regulated

Learning Questionnaire. Interdiscip J Virtual Learn Med Sci;11(1):13-24,

https://doi.org/10.30476/ijvlms.2020.84802.1017. Acesso em 5 de jan. 2025.

TEMPELAAR, D. T.; RIENTIES, B.; GIESBERS, B. In search for the most informative data for feedback generation:

Learning analytics in a data-rich context. Computers in Human Behavior, 47, 157–167, 2015.https://doi.org/10.1016/j.chb.2014.05.038. Acesso em 5 de jan. 2025.

TOMASELLO, M. Origens culturais da aquisição do conhecimento humano. São Paulo: Martins Fontes, 2003.

ZHANG, W.; LIU, B.; WILSON, A. J. Examining Chinese EFL learners’ online self-regulated learning: A mixedmethods approach, System, Volume 123-103277, 2024.https://doi.org/10.1016/j.system.2024.103277. Acesso

em 5 de jan. 2025.

ZHONGGEN, Y. The effects of gender, educational level, and personality on online learning outcomes during the

COVID-19 pandemic. International Journal of Educational Technology in Higher Education, 18(1),

https://doi.org/10.1186/s41239-021-00252-3. Acesso em: 16 abr. 2025.

ZIMMERMAN, B. J. Attaining self-regulation: A social cognitive perspective. In Handbook of self-regulation (pp.

-39). Academic press, 2000.

ZIMMERMAN, B. J. Becoming a Self-Regulated Learner: An Overview. Theory Into Practice, 41(2), 64–70,

https://doi.org/10.1207/s15430421tip4102_2. Acesso em: 16 abr. 2025.

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Published

2026-10-07

How to Cite

Cardoso, M. L., Santos, A. P. dos, Mauerberg Junior, A., & Moreira, M. F. (2026). Self-Regulated Learning Among MOOC Students – A Validation Study of the OSLQ in the Corporate E-Learning Environment of the Brazilian Federal Police. EaD Em Foco, 16(1), e2647. https://doi.org/10.18264/eadf.v16i1.2647

Issue

Vol. 16 No. 1 (2026)

Section

Estudos de Caso

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