Ferramenta para geração e utilização de modelos de avaliação automática da qualidade de objetos de aprendizagem
Resumo
A avaliação de qualidade de objetos de aprendizagem (OA) é uma tarefa complexa e os atuais repositórios normalmente utilizam estratégias de avaliação baseadas nas opiniões de sua comunidade de usuários. A disponibilização dessas avaliações contextuais a respeito dos OAs pode ser utilizada como base para a comparação de características de OAs considerados bons e não-bons por essa comunidade. O presente trabalho tem como objetivo apresentar uma ferramenta que identifica métricas intrínsecas aos OAs que possam estar associadas com a sua qualidade. Essas métricas são então utilizadas durante a geração de modelos de avaliação automática da qualidade. O trabalho apresenta o desenvolvimento e as funcionalidades dessa ferramenta que utiliza dados de OAs recolhidos do repositório MERLOT.
Palavras-chave:
Objetos de Aprendizagem, Avaliação Automática, Qualidade, Repositório, MERLOT
Referências
Bethard, S., Wetzer, P., Butcher, K., Martin, J. H., & Sumner, T. (2009). Automatically characterizing resource quality for educational digital libraries. Paper presented at the Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries, Austin.
Brosnan, K. (2005). Developing and sustaining a national learning-object sharing network: A social capital theory perspective. Paper presented at the Proceedings of the ASCILITE 2005 Conference, Brisbane, Australia.
Cechinel, C., da Silva Camargo, S., Ochoa, X., Sicilia, M., & Sanchez-Alonso, S. (2012). Populating learning object repositories with hidden internal quality information. Paper presented at the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL), Saarbrücken.
Cechinel, C., & Sánchez-Alonso, S. (2011). Analyzing Associations between the Different Ratings Dimensions of the MERLOT Repository. Interdisciplinary Journal of E-Learning and Learning Objects 7, 1-9.
Cechinel, C., Sánchez-Alonso, S., & García-Barriocanal, E. (2011). Statistical profiles of highly-rated learning objects. Computers & Education, 57(1), 1255-1269. DOI: 10.1016/j.compedu.2011.01.012
Cechinel, C., Sánchez-Alonso, S., Sicilia, M.-Á., & Simões, P. W. T. d. A. (2011). Exploring the Development of Endorsed Learning Resources Profiles in the Connexions Repository. In E. García-Barriocanal, Z. Cebeci, M. C. Okur & A. Öztürk (Eds.), Metadata and Semantic Research (Vol. 240, pp. 12-21): Springer Berlin Heidelberg.
Collis, B., & Strijker, A. (2004). Technology and Human Issues in Reusing Learning Objects. Journal of Interactive Media in Education; May 2004: JIME Special Issue on the Educational Semantic Web, 2004(1).
Han, P., Kortemeyer, G., Krämer, B., & von Prümmer, C. (2008). Exposure and Support of Latent Social Networks among Learning Object Repository Users. Journal of the Universal Computer Science, 14(10), 1717-1738. doi: citeulike-article-id:3558788
Lytras, M. D., Sicilia, M.-Á., & Cechinel, C. (2014). The value and cost of metadata. In M.-Á. Sicilia (Ed.), Handbook of Metadata, Semantics and Ontologies (pp. 41-62): World Scientific Publishing Company.
Ochoa, X., & Duval, E. (2008). Relevance Ranking Metrics for Learning Objects. Learning Technologies, IEEE Transactions on, 1(1), 34-48. DOI: 10.1109/TLT.2008.1
Ochoa, X., & Duval, E. (2009). Quantitative Analysis of Learning Object Repositories. Learning Technologies, IEEE Transactions on, 2(3), 226-238.
Vargo, J., Nesbit, J. C., Belfer, K., & Archambault, A. (2003). Learning Object Evaluation: Computer-Mediated Collaboration and Inter-Rater Reliability. International Journal of Computers and Applications, 25(3), 1-8.
Vuorikari, R., Manouselis, N., & Duval, E. (2008). Using Metadata for Storing, Sharing and Reusing Evaluations for Social Recommendations: the Case of Learning Resources. Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively. Hershey, PA: Idea Group Publishing, 87–107.
Brosnan, K. (2005). Developing and sustaining a national learning-object sharing network: A social capital theory perspective. Paper presented at the Proceedings of the ASCILITE 2005 Conference, Brisbane, Australia.
Cechinel, C., da Silva Camargo, S., Ochoa, X., Sicilia, M., & Sanchez-Alonso, S. (2012). Populating learning object repositories with hidden internal quality information. Paper presented at the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL), Saarbrücken.
Cechinel, C., & Sánchez-Alonso, S. (2011). Analyzing Associations between the Different Ratings Dimensions of the MERLOT Repository. Interdisciplinary Journal of E-Learning and Learning Objects 7, 1-9.
Cechinel, C., Sánchez-Alonso, S., & García-Barriocanal, E. (2011). Statistical profiles of highly-rated learning objects. Computers & Education, 57(1), 1255-1269. DOI: 10.1016/j.compedu.2011.01.012
Cechinel, C., Sánchez-Alonso, S., Sicilia, M.-Á., & Simões, P. W. T. d. A. (2011). Exploring the Development of Endorsed Learning Resources Profiles in the Connexions Repository. In E. García-Barriocanal, Z. Cebeci, M. C. Okur & A. Öztürk (Eds.), Metadata and Semantic Research (Vol. 240, pp. 12-21): Springer Berlin Heidelberg.
Collis, B., & Strijker, A. (2004). Technology and Human Issues in Reusing Learning Objects. Journal of Interactive Media in Education; May 2004: JIME Special Issue on the Educational Semantic Web, 2004(1).
Han, P., Kortemeyer, G., Krämer, B., & von Prümmer, C. (2008). Exposure and Support of Latent Social Networks among Learning Object Repository Users. Journal of the Universal Computer Science, 14(10), 1717-1738. doi: citeulike-article-id:3558788
Lytras, M. D., Sicilia, M.-Á., & Cechinel, C. (2014). The value and cost of metadata. In M.-Á. Sicilia (Ed.), Handbook of Metadata, Semantics and Ontologies (pp. 41-62): World Scientific Publishing Company.
Ochoa, X., & Duval, E. (2008). Relevance Ranking Metrics for Learning Objects. Learning Technologies, IEEE Transactions on, 1(1), 34-48. DOI: 10.1109/TLT.2008.1
Ochoa, X., & Duval, E. (2009). Quantitative Analysis of Learning Object Repositories. Learning Technologies, IEEE Transactions on, 2(3), 226-238.
Vargo, J., Nesbit, J. C., Belfer, K., & Archambault, A. (2003). Learning Object Evaluation: Computer-Mediated Collaboration and Inter-Rater Reliability. International Journal of Computers and Applications, 25(3), 1-8.
Vuorikari, R., Manouselis, N., & Duval, E. (2008). Using Metadata for Storing, Sharing and Reusing Evaluations for Social Recommendations: the Case of Learning Resources. Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively. Hershey, PA: Idea Group Publishing, 87–107.
Publicado
03/11/2014
Como Citar
CECHINEL, Cristian; PERNAS, Ana Marilza; SANTOS, Vinícius Vieira dos.
Ferramenta para geração e utilização de modelos de avaliação automática da qualidade de objetos de aprendizagem. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 25. , 2014, Dourados/MS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2014
.
p. 534-543.
DOI: https://doi.org/10.5753/cbie.sbie.2014.534.
