Use of graphs and taxonomic classifications to analyze content relationships among courseware

  • Márcio de Carvalho Saraiva Universidade Estadual de Campinas (UNICAMP)
  • Claudia Bauzer Medeiros Universidade Estadual de Campinas (UNICAMP)

Resumo


The search for educational content in courseware repositories is laborious and time consuming. There is an abundance of such repositories, and research efforts to facilitate search, but access is guided by keywords and/or terms selected by courseware authors, thus lacking flexibility. The goal of this project is to design and develop a suite of tools to assist users to find, analyze and select pieces of educational content that are relevant to their learning goals. Contributions will be both at the algorithm and software design level, and at the user (application) level.
Palavras-chave: Courseware repositories, Graphs, Taxonomic classification, Relationship analysis

Referências

Cavoto, P., Cardoso, V., Vignes Lebbe, R., and Santanchè, A. (2015). FishGraph: A Network-Driven Data Analysis. In 11th IEEE Int. Conf. on eScience, Germany.

Changuel, S., Labroche, N., and Bouchon-Meunier, B. (2015). Resources sequencing using automatic prerequisite–outcome annotation. ACM Trans. Intell. Syst. Technol., 6(1):pages 6:1–6:30.

Gabrilovich, E. and Markovitch, S. (2007). Computing semantic relatedness using wikipedia-based explicit semantic analysis. In IJCAI, pages 1606–1611, CA, USA. Morgan Kaufmann Publishers Inc.

Jiang, J. (2012). Information extraction from text. In Aggarwal, C. C. and Zhai, C., editors, Mining Text Data, pages 11–41. Springer US.

Khan, A., Wu, Y., and Yan, X. (2012). Emerging graph queries in linked data. In Kementsietsidis, A. and Salles, M. A. V., editors, ICDE, pages 1218–1221. IEEE Computer Society.

Little, S., Ferguson, R., and Rüger, S. (2012). Finding and reusing learning materials with multimedia similarity search and social networks. Technology, Pedagogy and Education, 21(2):pages 255–271.

Matos-Junior, O., Ziviani, N., Botelho, F. C., Cristo, M., Lacerda, A., and da Silva, A. S. (2012). Using taxonomies for product recommendation. JIDM, 3(2):pages 85–100.

Mishra, S., Gorai, A., Oberoi, T., and Ghosh, H. (2010). Efficient Visualization of Content and Contextual Information of an Online Multimedia Digital Library for Effective Browsing. WI-IAT2010, pages 257–260.

Mota, M. S. and Medeiros, C. B. (2013). Introducing shadows: Flexible document representation and annotation on the web. ICDE Workshops, pages 13–18.

Ouyang, Y. and Zhu, M. (2007). eLORM: Learning object relationship mining based repository. Proceedings - IEEE Int. Conf. on E-Commerce Technology and CEC/EEE, pages 691–698.

Pereira, B. (2014). Entity Linking with Multiple Knowledge Bases: An Ontology Modularization Approach. In ISWC, pages 513–520. Springer.

Ricarte, I. L. M. and Junior, G. R. F. (2011). A methodology for mining data from computer-supported learning environments. Informática na educação: teoria & prática, 14(2).

Santanchè, A., Longo, J. S. C., Jomier, G., Zam, M., and Medeiros, C. B. (2014). Multifocus research and geospatial data - anthropocentric concerns. JIDM, 5(2):pages 146–160.

Sathiyamurthy, K., Geetha, T. V., and Senthilvelan, M. (2012). An approach towards dynamic assembling of learning objects. In ICACCI, pages 1193–1198, NY, USA. ACM.

Shirakawa, M., Nakayama, K., Hara, T., and Nishio, S. (2015). Wikipedia-based semantic similarity measurements for noisy short texts using extended naive bayes. IEEE Trans. Emerging Topics Comput., 3(2):pages 205–219.
Publicado
04/10/2016
SARAIVA, Márcio de Carvalho; MEDEIROS, Claudia Bauzer. Use of graphs and taxonomic classifications to analyze content relationships among courseware. In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 31. , 2016, Salvador/BA. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2016 . p. 265-270. ISSN 2763-8979. DOI: https://doi.org/10.5753/sbbd.2016.24339.