Desafios e Estratégias Orientadoras para o Uso de Learning Analytics em MOOCs
Resumo
As ferramentas de Learning Analytics (LA) tornaram-se fundamentais para os ambientes virtuais de aprendizagem. Devido as suas potencialidades para coleta e análise de grande quantidade de dados, diversos pesquisadores têm empregado o uso de LA em contextos de Massive Open Online Courses (MOOCs) para alcançar diferentes propósitos educacionais e medir diferentes elementos da aprendizagem. Embora as técnicas de LA apresentem várias contribuições para o campo de análise de aprendizagem on-line, diversos desafios permeiam o uso de LA em MOOCs. Nesse contexto, essa pesquisa apresenta alguns desafios, bem como algumas estratégias orientadoras direcionadas ao uso de LA em MOOCs.
Referências
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Bergner, Y., Kerr, D., Pritchard, D. (2015). Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes. In: The 8th International conference on Educational Data Mining (EDM).
Chatti, M. A., Lukarov, V., Thüs, H., Muslim, A., Yousef, A. M. F., Wahid, U., Greven, C., Chakrabarti, A., Schroeder, U. (2014). Learning Analytics: Challenges and Future Research Directions. eleed, Iss. 10.
Chen, Q., Chen, Y., Liu, D., Shi, C., Wu, Y., Qu, H. (2016). “PeakVizor: Visual Analytics of Peaks in Video Clickstreams from Massive Open Online Courses”. In: IEEE Transactions on Visualization and Computer Graphics, vol. 22, n° 10, pages 2315 – 2330.
Corrin, L., Barba, P. G., Bakharia, (2017). A Using learning analytics to explore help-seeking learner profiles in MOOCs. In: Seventh International Learning Analytics & Knowledge Conference, p. 424-428.
Dourado, R., Rodrigues, R. L., Cavalcanti, J., Gomes, A. S. (2017). Novas possibilidades de avaliação em larga escala na educação básica através do uso de EDM e Learning Analytics. In: 6° DesafIE!- Workshop de Desafios da Computação aplicada à Educação, pages-725-731.
Fırat, M., Yüzer, T. V. (2016). “Learning Analytics: Assessment of Mass Data in Distance Education”. In: International Journal on New Trends in Education and Their Implications, vol. 7, n°2, pages 1-8.
Fu, S., Zhao, J., Cui, W., Qu. H. (2017) “Visual Analysis of MOOC Forums with iForum”. In: IEEE Transactions On Visualization And Computer Graphics ,vol. 23, n° 1, pages 201-210.
Hoel, T., Griffiths, D., Chen, W. (2017). The Influence of Data Protection and Privacy Frameworks on the Design of Learning Analytics Systems. In: Proceedings of the Seventh International Learning Analytics & Knowledge Conference, p. 243-252.
Khalil, M., Ebner, M. (2015) “Learning Analytics: Principles and Constraints”. In: Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2015, p. 1326-1336.
Khalil, M., Ebner, M. (2016a) “De-Identification in Learning Analytics”. In Journal of Learning Analytics, vol. 3, n°1, pages 129–138.
Khalil, M.; Ebner, M. (2016b). Learning Analytics in MOOCs: Can Data Improve Students Retention and Learning?. In: World Conference on Educational Media and Technology, p. 581-588.
Khalil, M., Taraghi, B., Ebner, M. (2016) “Engaging Learning Analytics in MOOCs: the good, the bad, and the ugly”. In: International Conference on Education and New Developments, p.3-7.
Laveti, R. N., Kuppili, S., Janaki Ch., Pal, S. N., Babu, N. S. C. (2017). Implementation of Learning Analytics Framework for MOOCs using State-of-the-art In-Memory Computing. In: 5th National Conference on E-Learning & E-Learning Technologies (ELELTECH), p. 1-6.
Lu, O. T., Huang, J. C. H., Huang, A. Y. Q., Yang, S. J. H. (2017) “Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course”. Interactive Learning Environments, vol 25, pages 220-234.
Manderveld, J. (2015). Grand Challenges for Learning Analytics and Open& Online Education. In: Open and Online Education Trend Report, p. 70-74.
Meenakumari, J., Kudari, J. M. (2015). Learning Analytics and its challenges in Education Sector a Survey. In: International Conference on Current Trends in Advanced Computing, p.6-10.
Menezes, D. A. T., Silva, R. E. D., Lima., D. F., Nunes, I. D., Schiel., U. (2016). Modelo de Visualização de Dados para Auxiliar o Professor no Acompanhamento do Desempenho do Aluno e Aprimoramento do Design Instrucional com o Apoio de Learning Analytics. In: Anais dos Workshops do V Congresso Brasileiro de Informática na Educação (CBIE 2016), pages 437-446.
Montero, C. S., Suhonen, J. (2014) “Emotion Analysis Meets Learning Analytics – Online Learner Profiling beyond Numerical Data”. In: Proceedings of the 14th Koli Calling International Conference on Computing Education Research, p. 165-169.
Mukala, P., Buijs, J., Leemans, M., van der Aalst, W. (2015). Learning Analytics on Coursera Event Data: A Process Mining Approach. In: 5th International Symposium on Data-driven Process Discovery and Analysis. Vienna, Austria, p. 18–32.
Park, J., Denaro, K., Rodriguez, F., Smyth, P., Warschauer, M. (2017). Detecting Changes in Student Behavior from Clickstream Data. In: LAK '17 Proceedings of the Seventh International Learning Analytics & Knowledge Conference, p. 21-30.
Ramos, T., Gomes, A., Lucena, M., Nunes, I. D., Valentim, R., Nóbrega, G. (2017). Uso de Mineração de Dados Educacionais para Identificação de Perfis e Padrões de Participação dos Estudantes de Cursos a Distância. In: CISTI'2017 - 12ª Conferência Ibérica de Sistemas e Tecnologias de Informação.
Rigo, S. J., Cambruzzi, W., Barbosa, J. L. V., Cazella, S. C. (2014) “Aplicações de Mineração de Dados Educacionais e Learning Analytics com foco na evasão escolar: oportunidades e desafios”. In Revista Brasileira de Informática na Educação, Volume 22, Número 1, p. 132-146.
Ruipérez-Valiente, J. A., Muñoz-Merino, J., Gascón-Pinedo, J. A., Kloos, C. D. (2017). “Scaling to Massiveness With ANALYSE: A Learning Analytics Tool for Open edX”. In: IEEE Transactions On Human-Machine Systems, vol. 47, n°6, pages 909 – 914.
Ruiz, J. S., Díaz, H. J. P., Ruipérez-Valiente, J. A., Muñoz-Merino, P. J., and Kloos, C. D. (2014). Towards the Development of a Learning Analytics Extension in Open edX. In: Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality, p. 299–306.
Sancho, J. (2016) “Learning Opportunities for Mass Collaboration Projects Through Learning Analytics: a Case Study”. In: IEEE Revista Iberoamericana de Tecnologias Del Aprendizaje, vol. 11, n. 3, pages 148-158.
Souza, M. V., Simon, R. M. (2014) “Redes Sociais e MOOCs: análise de mídias para uma educação em rede”. In: XI Congresso Brasileiro de Ensino Superior a Distância, pages 313-327.
Sun, X., Zhou., W., Xiang, Q., Cui, B., Jin, Y.(2016) “Research on big data analytics technology of MOOC,” The 11th International Conference on Computer Science & Education (ICCSE 2016), Japan, pages 64-68.
Zhao Z., Wu, Q., Chen H., Wan C. (2017) “Learning Quality Evaluation of MOOC Based on Big Data Analysis”. In: Qiu M. (eds) Smart Computing and Communication. SmartCom 2016. Lecture Notes in Computer Science, vol 10135, Springer, Cham, p. 277-286.
Zheng, Y, Yin, B. (2015). Big Data Analytics in MOOCs. In: 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications, p. 681-686.
Avella, J. T., Kebritchi, M., Nunn, S. G., & Kanai, T. (2016). Learning analytics Methods, Benefits, and Challenges in higher education: A systematic literature review. Online Learning, vol. 20, n° 2, pages 13-29.
Bergner, Y., Kerr, D., Pritchard, D. (2015). Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes. In: The 8th International conference on Educational Data Mining (EDM).
Chatti, M. A., Lukarov, V., Thüs, H., Muslim, A., Yousef, A. M. F., Wahid, U., Greven, C., Chakrabarti, A., Schroeder, U. (2014). Learning Analytics: Challenges and Future Research Directions. eleed, Iss. 10.
Chen, Q., Chen, Y., Liu, D., Shi, C., Wu, Y., Qu, H. (2016). “PeakVizor: Visual Analytics of Peaks in Video Clickstreams from Massive Open Online Courses”. In: IEEE Transactions on Visualization and Computer Graphics, vol. 22, n° 10, pages 2315 – 2330.
Corrin, L., Barba, P. G., Bakharia, (2017). A Using learning analytics to explore help-seeking learner profiles in MOOCs. In: Seventh International Learning Analytics & Knowledge Conference, p. 424-428.
Dourado, R., Rodrigues, R. L., Cavalcanti, J., Gomes, A. S. (2017). Novas possibilidades de avaliação em larga escala na educação básica através do uso de EDM e Learning Analytics. In: 6° DesafIE!- Workshop de Desafios da Computação aplicada à Educação, pages-725-731.
Fırat, M., Yüzer, T. V. (2016). “Learning Analytics: Assessment of Mass Data in Distance Education”. In: International Journal on New Trends in Education and Their Implications, vol. 7, n°2, pages 1-8.
Fu, S., Zhao, J., Cui, W., Qu. H. (2017) “Visual Analysis of MOOC Forums with iForum”. In: IEEE Transactions On Visualization And Computer Graphics ,vol. 23, n° 1, pages 201-210.
Hoel, T., Griffiths, D., Chen, W. (2017). The Influence of Data Protection and Privacy Frameworks on the Design of Learning Analytics Systems. In: Proceedings of the Seventh International Learning Analytics & Knowledge Conference, p. 243-252.
Khalil, M., Ebner, M. (2015) “Learning Analytics: Principles and Constraints”. In: Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2015, p. 1326-1336.
Khalil, M., Ebner, M. (2016a) “De-Identification in Learning Analytics”. In Journal of Learning Analytics, vol. 3, n°1, pages 129–138.
Khalil, M.; Ebner, M. (2016b). Learning Analytics in MOOCs: Can Data Improve Students Retention and Learning?. In: World Conference on Educational Media and Technology, p. 581-588.
Khalil, M., Taraghi, B., Ebner, M. (2016) “Engaging Learning Analytics in MOOCs: the good, the bad, and the ugly”. In: International Conference on Education and New Developments, p.3-7.
Laveti, R. N., Kuppili, S., Janaki Ch., Pal, S. N., Babu, N. S. C. (2017). Implementation of Learning Analytics Framework for MOOCs using State-of-the-art In-Memory Computing. In: 5th National Conference on E-Learning & E-Learning Technologies (ELELTECH), p. 1-6.
Lu, O. T., Huang, J. C. H., Huang, A. Y. Q., Yang, S. J. H. (2017) “Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course”. Interactive Learning Environments, vol 25, pages 220-234.
Manderveld, J. (2015). Grand Challenges for Learning Analytics and Open& Online Education. In: Open and Online Education Trend Report, p. 70-74.
Meenakumari, J., Kudari, J. M. (2015). Learning Analytics and its challenges in Education Sector a Survey. In: International Conference on Current Trends in Advanced Computing, p.6-10.
Menezes, D. A. T., Silva, R. E. D., Lima., D. F., Nunes, I. D., Schiel., U. (2016). Modelo de Visualização de Dados para Auxiliar o Professor no Acompanhamento do Desempenho do Aluno e Aprimoramento do Design Instrucional com o Apoio de Learning Analytics. In: Anais dos Workshops do V Congresso Brasileiro de Informática na Educação (CBIE 2016), pages 437-446.
Montero, C. S., Suhonen, J. (2014) “Emotion Analysis Meets Learning Analytics – Online Learner Profiling beyond Numerical Data”. In: Proceedings of the 14th Koli Calling International Conference on Computing Education Research, p. 165-169.
Mukala, P., Buijs, J., Leemans, M., van der Aalst, W. (2015). Learning Analytics on Coursera Event Data: A Process Mining Approach. In: 5th International Symposium on Data-driven Process Discovery and Analysis. Vienna, Austria, p. 18–32.
Park, J., Denaro, K., Rodriguez, F., Smyth, P., Warschauer, M. (2017). Detecting Changes in Student Behavior from Clickstream Data. In: LAK '17 Proceedings of the Seventh International Learning Analytics & Knowledge Conference, p. 21-30.
Ramos, T., Gomes, A., Lucena, M., Nunes, I. D., Valentim, R., Nóbrega, G. (2017). Uso de Mineração de Dados Educacionais para Identificação de Perfis e Padrões de Participação dos Estudantes de Cursos a Distância. In: CISTI'2017 - 12ª Conferência Ibérica de Sistemas e Tecnologias de Informação.
Rigo, S. J., Cambruzzi, W., Barbosa, J. L. V., Cazella, S. C. (2014) “Aplicações de Mineração de Dados Educacionais e Learning Analytics com foco na evasão escolar: oportunidades e desafios”. In Revista Brasileira de Informática na Educação, Volume 22, Número 1, p. 132-146.
Ruipérez-Valiente, J. A., Muñoz-Merino, J., Gascón-Pinedo, J. A., Kloos, C. D. (2017). “Scaling to Massiveness With ANALYSE: A Learning Analytics Tool for Open edX”. In: IEEE Transactions On Human-Machine Systems, vol. 47, n°6, pages 909 – 914.
Ruiz, J. S., Díaz, H. J. P., Ruipérez-Valiente, J. A., Muñoz-Merino, P. J., and Kloos, C. D. (2014). Towards the Development of a Learning Analytics Extension in Open edX. In: Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality, p. 299–306.
Sancho, J. (2016) “Learning Opportunities for Mass Collaboration Projects Through Learning Analytics: a Case Study”. In: IEEE Revista Iberoamericana de Tecnologias Del Aprendizaje, vol. 11, n. 3, pages 148-158.
Souza, M. V., Simon, R. M. (2014) “Redes Sociais e MOOCs: análise de mídias para uma educação em rede”. In: XI Congresso Brasileiro de Ensino Superior a Distância, pages 313-327.
Sun, X., Zhou., W., Xiang, Q., Cui, B., Jin, Y.(2016) “Research on big data analytics technology of MOOC,” The 11th International Conference on Computer Science & Education (ICCSE 2016), Japan, pages 64-68.
Zhao Z., Wu, Q., Chen H., Wan C. (2017) “Learning Quality Evaluation of MOOC Based on Big Data Analysis”. In: Qiu M. (eds) Smart Computing and Communication. SmartCom 2016. Lecture Notes in Computer Science, vol 10135, Springer, Cham, p. 277-286.
Zheng, Y, Yin, B. (2015). Big Data Analytics in MOOCs. In: 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications, p. 681-686.
Publicado
26/07/2018
Como Citar
SOUZA, Napoliana Silva de; PERRY, Gabriela Trindade.
Desafios e Estratégias Orientadoras para o Uso de Learning Analytics em MOOCs. In: WORKSHOP DE DESAFIOS DA COMPUTAÇÃO APLICADA À EDUCAÇÃO (DESAFIE!), 7. , 2018, Natal.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
p. 1-10.
DOI: https://doi.org/10.5753/desafie.2018.3098.
