Mineração textual e letramento: aplicações iniciais da ferramenta Sobek com alunos do Ensino Fundamental
Abstract
Latest surveys by international organizations warn us to a common problem among Brazilian students: the serious difficulties found by them in reading and writing. These difficulties often bring academic and social problems to students, being a hindering difficulty in their education. This study intended to evaluate students' perceptions regarding the use of a text mining tool to assist them in literacy activities. This tool is able to find and extract relevant information from a text and present it in the form of a graph, helping with the visualization of the information presented. In this study we used the Sobek in a series of activities with elementary students from a public school in Brazil. Results showed that students found the tool effective in helping them to organize their ideas in the writing process.
References
Abbott, J. A., Faris, S. E. Integrating technology into Preservice Literacy Instructions: a Survey of Elementary Education Students' Attitudes toward Computers. Journal of Research on Computing in Education, v. 33, n. 2, pp. 149-161, 2000.
ANA. Avaliação Nacional de Alfabetização. Brasília: Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (INEP), 2013. Disponível em: <http://portal.inep.gov.br/web/saeb/ana>. Acessado em 10 de maio de 2016.
Bakhtin, M. M. Questões de literatura e de estética. São Paulo: Unesp/Hucitec, 1988.
Bakhtin, M. M; Volochinov, V. N. Marxismo e filosofia da linguagem. São Paulo: Hucitec, 1981.
Beissner, K. L., Jonassen, D. H., and Grabowski, B. L. Using and selecting graphic techniques to acquire structural knowledge. Performance Improvement Quarterly, 7(4):20–38. 1994.
Calvo, R. A., O'Rourke, S. T., Jones, J., Yacef, K., and Reimann, P. (2011). Collaborative writing support tools on the cloud. IEEE Transactions on Learning Technologies, 4(1):88–97.
Christensen, R. Effects of Technology Integration Education on the Attitudes of Teachers and Students. Journal of Research on Technology in Education, v.34, n.4, pp. 411-433, 2002.
Faraco, C. A.; Tezza, C. Prática de texto para estudantes universitários. 16 ed. Petrópolis: RJ: VOZES, 2007.
INEP. A redação no ENEM 2013: Guia do participante. Brasília, DF. 2013. Disponível em: <link>. Acesso em: 10 maio, 2016. 2013.
Kock, I. V.; Elias, V. M. Ler e compreender: os sentidos do texto. 2 ed. São Paulo: Contexto, 2008.
Korhonen, J., Linnanmäki, K., and Aunio, P. (2014). Learning difficulties, academic well being and educational dropout: A person-centred approach. Learning and Individual Differences, 31(0):1 – 10.
Macedo, A. L., Reategui, E. B., Lorenzatti, A., and Behar, P. A. (2009). Using text mining to support the evaluation of texts produced collaboratively. In WCCE, volume 302 of IFIP Advances in Information and Communication Technology, pages 368–377. Springer.
Marzano, R., Pickering, D., and Pollock, J. (2001). Classroom Instruction that Works: Research-based Strategies for Increasing Student Achievement. Gale virtual reference library. Association for Supervision and Curriculum Development.
Nandhini, K. and Balasundaram, S. (2013). Improving readability through extractive summarization for learners with reading difficulties. Egyptian Informatics Journal, 14(3):195 – 204.
OECD (2013). Pisa 2012 results: What students know and can do. student performance in mathematics, reading and science (volume i). 1.
OECD. PISA 2015 Assessment and Analytical Framework: Science, Reading, Mathematic and Financial Literacy. Disponível em: <link>. Acesso em : 10 de maio de 2016. 2015.
Reategui, E.; Epstein, D. (2015). Automatic Extraction of Nonlinguistic Representations of Texts to Support Writing. American Journal of Educational Research. Vol. 3, No. 12, 1592:1596
Sridhar, D. and Vaughn, S. (2001). Social functioning of students with learning disabilities. Research and global perspectives in learning disabilities.
Vygotsky, L. S. Mind in Society: the Development of Higher Psychological Processes. Cambridge, MA.: Harvard University Press, 1978.
Wei, C.-W., Hsieh, Z.-H., Chen, N.-S., and Kinshuk (2012). Construction of reading guidance mechanism on e-book reader applications for improving learners' english comprehension capabilities. In ICALT, pages 170–172. IEEE.
ANA. Avaliação Nacional de Alfabetização. Brasília: Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (INEP), 2013. Disponível em: <http://portal.inep.gov.br/web/saeb/ana>. Acessado em 10 de maio de 2016.
Bakhtin, M. M. Questões de literatura e de estética. São Paulo: Unesp/Hucitec, 1988.
Bakhtin, M. M; Volochinov, V. N. Marxismo e filosofia da linguagem. São Paulo: Hucitec, 1981.
Beissner, K. L., Jonassen, D. H., and Grabowski, B. L. Using and selecting graphic techniques to acquire structural knowledge. Performance Improvement Quarterly, 7(4):20–38. 1994.
Calvo, R. A., O'Rourke, S. T., Jones, J., Yacef, K., and Reimann, P. (2011). Collaborative writing support tools on the cloud. IEEE Transactions on Learning Technologies, 4(1):88–97.
Christensen, R. Effects of Technology Integration Education on the Attitudes of Teachers and Students. Journal of Research on Technology in Education, v.34, n.4, pp. 411-433, 2002.
Faraco, C. A.; Tezza, C. Prática de texto para estudantes universitários. 16 ed. Petrópolis: RJ: VOZES, 2007.
INEP. A redação no ENEM 2013: Guia do participante. Brasília, DF. 2013. Disponível em: <link>. Acesso em: 10 maio, 2016. 2013.
Kock, I. V.; Elias, V. M. Ler e compreender: os sentidos do texto. 2 ed. São Paulo: Contexto, 2008.
Korhonen, J., Linnanmäki, K., and Aunio, P. (2014). Learning difficulties, academic well being and educational dropout: A person-centred approach. Learning and Individual Differences, 31(0):1 – 10.
Macedo, A. L., Reategui, E. B., Lorenzatti, A., and Behar, P. A. (2009). Using text mining to support the evaluation of texts produced collaboratively. In WCCE, volume 302 of IFIP Advances in Information and Communication Technology, pages 368–377. Springer.
Marzano, R., Pickering, D., and Pollock, J. (2001). Classroom Instruction that Works: Research-based Strategies for Increasing Student Achievement. Gale virtual reference library. Association for Supervision and Curriculum Development.
Nandhini, K. and Balasundaram, S. (2013). Improving readability through extractive summarization for learners with reading difficulties. Egyptian Informatics Journal, 14(3):195 – 204.
OECD (2013). Pisa 2012 results: What students know and can do. student performance in mathematics, reading and science (volume i). 1.
OECD. PISA 2015 Assessment and Analytical Framework: Science, Reading, Mathematic and Financial Literacy. Disponível em: <link>. Acesso em : 10 de maio de 2016. 2015.
Reategui, E.; Epstein, D. (2015). Automatic Extraction of Nonlinguistic Representations of Texts to Support Writing. American Journal of Educational Research. Vol. 3, No. 12, 1592:1596
Sridhar, D. and Vaughn, S. (2001). Social functioning of students with learning disabilities. Research and global perspectives in learning disabilities.
Vygotsky, L. S. Mind in Society: the Development of Higher Psychological Processes. Cambridge, MA.: Harvard University Press, 1978.
Wei, C.-W., Hsieh, Z.-H., Chen, N.-S., and Kinshuk (2012). Construction of reading guidance mechanism on e-book reader applications for improving learners' english comprehension capabilities. In ICALT, pages 170–172. IEEE.
Published
2016-10-24
How to Cite
REATEGUI, Eliseo; EPSTEIN, Daniel; SOARES, Rodrigo de Oliveira; PINHO, Isis; RODRIGUES, Gabriela.
Mineração textual e letramento: aplicações iniciais da ferramenta Sobek com alunos do Ensino Fundamental. In: WORKSHOP ON COMPUTING AT SCHOOL (WIE), 22. , 2016, Uberlândia.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 111-120.
DOI: https://doi.org/10.5753/cbie.wie.2016.111.
