Mapeamento de dados de um LMS para medida de construtos da distância transacional
Resumo
Este trabalho apresenta uma proposta para o mapeamento de dados de comportamento de usuários em um Learning Management System (LMS), em variáveis que representam os construtos da distância transacional (diálogo, estrutura e autonomia). O objetivo foi descrever e validar um conjunto de variáveis com as quais esses construtos podem ser medidos, permitindo o desenvolvimento de pesquisas na área, assim como a obtenção destas medidas a qualquer momento do curso e sem a necessidade de questionários. A identificação do conjunto inicial foi feita por revisão da literatura, complementada com uma análise das variáveis no banco de dados. Em seguida, um grupo de especialistas validou o conjunto inicial de atributos. A criação e validação de um conjunto final de variáveis foi feita a partir da Análise Fatorial Confirmatória (CFA), que apontou como cada construto pode ser representado por um conjunto de atributos obtidos a partir do banco de dados do LMS.
Palavras-chave:
Educação a Distância, Teoria da Distância Transacional, Learning Management System
Referências
ANDERSON, T.; DRON, J. Three generations of distance education pedagogy. The International Review of Research in Open and Distributed Learning, v. 12, n. 3, p. 80-97 2010.
BROWN, T. A. Confirmatory factor analysis for applied research. Guilford Publications 2015.
CHEN, Y.-J. Transactional distance in World Wide Web learning environments. Innovations in Education and Teaching International, v. 38, n. 4, p. 327-338, 2001a.
CHEN, Y. J. Dimensions of transactional distance in the World Wide Web learning environment: a factor analysis. British Journal of Educational Technology, v. 32, n. 4, p. 459-470 2001b.
GOEL, L.; ZHANG, P.; TEMPLETON, M. Transactional distance revisited: Bridging face and empirical validity. Computers in Human Behavior, v. 28, n. 4 2012.
HAIR, J. F. et at. Análise multivariada de dados. Bookman Editora 2009.
HORZUM, M. B. Developing Transactional Distance Scale and Examining Transactional Distance Perception of Blended Learning Students in Terms of Different Variables. Educational Sciences: Theory and Practice, v. 11, n. 3, p. 1582-1587 2011
HOOPER, D. et at. “Structural Equation Modelling: Guidelines for Determining Model Fit.” The Electronic Journal of Business Research Methods Volume 6 Issue 1 2008, pp. 53-60.
HU, L.T.; BENTLER, P.M, "Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives," Structural Equation Modeling, 6 (1), 1-55. 1999
HUANG, X. et at. Understanding transactional distance in web‐based learning environments: An empirical study. British Journal of Educational Technology 2015. ISSN 1467-8535.
HUGHES, W. G. Transactional Distance Theory: The Effect of Disseminating Educational Messages to Frontline Registered Nurses in an Acute Care Hospital Setting. 2010. Ph.D. Southeastern Louisiana University.
JACKSON, D. L., GILLASPY Jr, J. A., & PURC-STEPHENSON, R.. Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychological methods, 14(1), 6. 2009
KANUKA, H. University student perceptions of the use of the Web in distance-related programs. The Canadian Journal of Higher Education, v. 31, n. 3, p. 49 2001. ISSN 0316-1218.
KANUKA, H.; COLLETT, D.; CASWELL, C. University instructor perceptions of the use of asynchronous text-based discussion in distance courses. The American Journal of Distance Education, v. 16, n. 3, p. 151-167 2002. ISSN 0892-3647.
MOORE, M. G. The theory of transactional distance. In: MOORE, M. G. (Ed.). Handbook of distance education. New York: Routledge 2013. cap. 5, p.66-85.
MOORE, M. G. Theory of transactional distance. In: (Ed.). Theoretical Principles of Distance Education. New York: Routledge, 1993. p.22-29.
MOORE, M. G. Toward a theory of independent learning and teaching. The Journal of Higher Education, p. 661-679, 1973. ISSN 0022-1546.
PAUL, R. C. et at. Revisiting Zhang’s scale of transactional distance: refinement and validation using structural equation modeling. Distance Education, v. 36, n. 3, p. 364-382 2015.
PETERS, O. Distance education in transition: new trends and challenges. Bibliotheks- und Informationssytem der Universität Oldenburg 2002.
SANDOE, C. Measuring transactional distance of online courses: The structure component. PhD. University of South Florida. 2005.
SHEVLIN, M.; MILES, J. N. V. Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis. Personality and Individual Differences, v. 25, n. 1, p. 85-90, 1998.
SWART, W. et at. Relative proximity theory: Measuring the gap between actual and ideal online course delivery. American Journal of Distance Education, v. 28, n. 4, p. 222-240 2014.
USTATI, R.; HASSAN, S. S. S. Distance Learning Students’ Need: Evaluating Interactions From Moore’s Theory Of Transactional Distance. Turkish Online Journal of Distance Education, v. 14, n. 2 2013.
ZHANG, A. Transactional Distance in Web-based College Learning Environments: Toward Measurement and Theory Construction. PhD Thesis. VCU Retrospective. Richmond. 2003.
BROWN, T. A. Confirmatory factor analysis for applied research. Guilford Publications 2015.
CHEN, Y.-J. Transactional distance in World Wide Web learning environments. Innovations in Education and Teaching International, v. 38, n. 4, p. 327-338, 2001a.
CHEN, Y. J. Dimensions of transactional distance in the World Wide Web learning environment: a factor analysis. British Journal of Educational Technology, v. 32, n. 4, p. 459-470 2001b.
GOEL, L.; ZHANG, P.; TEMPLETON, M. Transactional distance revisited: Bridging face and empirical validity. Computers in Human Behavior, v. 28, n. 4 2012.
HAIR, J. F. et at. Análise multivariada de dados. Bookman Editora 2009.
HORZUM, M. B. Developing Transactional Distance Scale and Examining Transactional Distance Perception of Blended Learning Students in Terms of Different Variables. Educational Sciences: Theory and Practice, v. 11, n. 3, p. 1582-1587 2011
HOOPER, D. et at. “Structural Equation Modelling: Guidelines for Determining Model Fit.” The Electronic Journal of Business Research Methods Volume 6 Issue 1 2008, pp. 53-60.
HU, L.T.; BENTLER, P.M, "Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives," Structural Equation Modeling, 6 (1), 1-55. 1999
HUANG, X. et at. Understanding transactional distance in web‐based learning environments: An empirical study. British Journal of Educational Technology 2015. ISSN 1467-8535.
HUGHES, W. G. Transactional Distance Theory: The Effect of Disseminating Educational Messages to Frontline Registered Nurses in an Acute Care Hospital Setting. 2010. Ph.D. Southeastern Louisiana University.
JACKSON, D. L., GILLASPY Jr, J. A., & PURC-STEPHENSON, R.. Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychological methods, 14(1), 6. 2009
KANUKA, H. University student perceptions of the use of the Web in distance-related programs. The Canadian Journal of Higher Education, v. 31, n. 3, p. 49 2001. ISSN 0316-1218.
KANUKA, H.; COLLETT, D.; CASWELL, C. University instructor perceptions of the use of asynchronous text-based discussion in distance courses. The American Journal of Distance Education, v. 16, n. 3, p. 151-167 2002. ISSN 0892-3647.
MOORE, M. G. The theory of transactional distance. In: MOORE, M. G. (Ed.). Handbook of distance education. New York: Routledge 2013. cap. 5, p.66-85.
MOORE, M. G. Theory of transactional distance. In: (Ed.). Theoretical Principles of Distance Education. New York: Routledge, 1993. p.22-29.
MOORE, M. G. Toward a theory of independent learning and teaching. The Journal of Higher Education, p. 661-679, 1973. ISSN 0022-1546.
PAUL, R. C. et at. Revisiting Zhang’s scale of transactional distance: refinement and validation using structural equation modeling. Distance Education, v. 36, n. 3, p. 364-382 2015.
PETERS, O. Distance education in transition: new trends and challenges. Bibliotheks- und Informationssytem der Universität Oldenburg 2002.
SANDOE, C. Measuring transactional distance of online courses: The structure component. PhD. University of South Florida. 2005.
SHEVLIN, M.; MILES, J. N. V. Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis. Personality and Individual Differences, v. 25, n. 1, p. 85-90, 1998.
SWART, W. et at. Relative proximity theory: Measuring the gap between actual and ideal online course delivery. American Journal of Distance Education, v. 28, n. 4, p. 222-240 2014.
USTATI, R.; HASSAN, S. S. S. Distance Learning Students’ Need: Evaluating Interactions From Moore’s Theory Of Transactional Distance. Turkish Online Journal of Distance Education, v. 14, n. 2 2013.
ZHANG, A. Transactional Distance in Web-based College Learning Environments: Toward Measurement and Theory Construction. PhD Thesis. VCU Retrospective. Richmond. 2003.
Publicado
24/10/2016
Como Citar
RAMOS, Jorge L. C.; SEDRAZ SILVA, João C.; GOMES, Alex Sandro; DE SOUZA, Fernando d. F.; RODRIGUES, Rodrigo Lins.
Mapeamento de dados de um LMS para medida de construtos da distância transacional. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 27. , 2016, Uberlândia/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 1056-1065.
DOI: https://doi.org/10.5753/cbie.sbie.2016.1056.
