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Findings When Converting a Summative Evaluation Instrument to a Formative One Through Collaborative Learning Activities

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Collaboration and Technology (CRIWG 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11001))

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Abstract

Although illiteracy has been in constant decline over the last decades, there are too many reports about people having problems to identify the main ideas contained in texts they read. Reading comprehension is essential for students, because it is a predictor of their academic or professional success. Researchers have developed computer supported learning activities for supporting students develop their reading comprehension skills with varying degrees of success. One of the various advantages of having students work on electronic documents is that computers can help teachers monitor students’ work. One of the problems of these systems is poor usability due to sophisticated human-computer interaction paradigms emulating activities students perform in traditional learning activities for improving reading comprehension with pen and paper. In this paper we report on a research which implements a learning activity based on answers with multiple choice similar to a questionnaire, which is easy to implement in computers and easy to interact with. Although multiple choice questionnaires are associated to summative evaluations, the implemented learning activity uses them within a collaborative learning activity in which students have to justify, first individually then collaboratively, their choice with a short text. The developed system was used and evaluated in a real learning situation; one of the most interesting findings is not only that students who have to justify their option with a text perform better than those who have not, but that the pertinence of the text to the question does not play a major role. This suggests that just asking the students to justify their answers requires them to do a thinking process which otherwise they would not do.

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References

  1. Mullis, I.V., Martin, M.O., Foy, P., Drucker, K.T.: PIRLS 2011 International Results in Reading. ERIC (2012)

    Google Scholar 

  2. Slavin, R.E., Cheung, A., Groff, C., Lake, C.: Effective reading programs for middle and high schools: a best-evidence synthesis. Read. Res. Q. 43(3), 290–322 (2008)

    Article  Google Scholar 

  3. Rosas, R., Escobar, J.P., Ramírez, M.P., Meneses, A., Guajardo, A.: Impact of a computer-based intervention in Chilean children at risk of manifesting reading difficulties/Impacto de una intervención basada en ordenador en niños chilenos con riesgo de manifestar dificultades lectoras. Infancia y Aprendizaje 40(1), 158–188 (2017)

    Article  Google Scholar 

  4. Wild, M.: Using computer-aided instruction to support the systematic practice of phonological skills in beginning readers. J. Res. Read. 32(4), 413–432 (2009)

    Article  Google Scholar 

  5. Karemaker, A.M., Pitchford, N.J., O’Malley, C.: Does whole-word multimedia software support literacy acquisition? Read. Writ. 23(1), 31–51 (2010)

    Article  Google Scholar 

  6. Dole, J.A., Duffy, G.G., Roehler, L.R., Pearson, P.D.: Moving from the old to the new: research on reading comprehension instruction. Rev. Educ. Res. 61(2), 239–264 (1991)

    Article  Google Scholar 

  7. Sung, Y.-T., Chang, K.-E., Huang, J.-S.: Improving children’s reading comprehension and use of strategies through computer-based strategy training. Comput. Hum. Behav. 24(4), 1552–1571 (2008)

    Article  Google Scholar 

  8. Zurita, G., Baloian, N., Jerez, O., Peñafiel, S.: Practice of skills for reading comprehension in large classrooms by using a mobile collaborative support and microblogging. In: Gutwin, C., Ochoa, S.F., Vassileva, J., Inoue, T. (eds.) CRIWG 2017. LNCS, vol. 10391, pp. 81–94. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-63874-4_7

    Chapter  Google Scholar 

  9. Gunderman, R.B., Ladowski, J.M.: Inherent limitations of multiple-choice testing. Acad. Radiol. 20(10), 1319–1321 (2013)

    Article  Google Scholar 

  10. Park, J.: Constructive multiple-choice testing system. Br. J. Educ. Technol. 41(6), 1054–1064 (2010)

    Article  Google Scholar 

  11. Rodriguez, M.C.: Construct equivalence of multiple-choice and constructed-response items: a random effects synthesis of correlations. J. Educ. Meas. 40(2), 163–184 (2003)

    Article  Google Scholar 

  12. Bennett, R.E., Rock, D.A., Wang, M.: Equivalence of free-response and multiple-choice items. J. Educ. Meas. 28(1), 77–92 (1991)

    Article  Google Scholar 

  13. Marsh, E.J., Lozito, J.P., Umanath, S., Bjork, E.L., Bjork, R.A.: Using verification feedback to correct errors made on a multiple-choice test. Memory 20(6), 645–653 (2012)

    Article  Google Scholar 

  14. Tamir, P.: Some issues related to the use of justifications to multiple-choice answers. J. Biol. Educ. 23(4), 285–292 (1989)

    Article  Google Scholar 

  15. Laal, M., Ghodsi, S.M.: Benefits of collaborative learning. Procedia-Soc. Behav. Sci. 31, 486–490 (2012)

    Article  Google Scholar 

  16. Duke, N.K., Pearson, P.D.: Effective practices for developing reading comprehension. J. Educ. 189(1/2), 107–122 (2008)

    Google Scholar 

  17. Prestridge, S.: A focus on students’ use of Twitter–their interactions with each other, content and interface. Act. Learn. High. Educ. 15(2), 101–115 (2014)

    Article  Google Scholar 

  18. Dufresne, R.J., Gerace, W.J., Leonard, W.J., Mestre, J.P., Wenk, L.: Classtalk: a classroom communication system for active learning. J. Comput. High. Educ. 7(2), 3–47 (1996)

    Article  Google Scholar 

  19. Adams Becker, S., Cummins, M., Davis, A., Freeman, A., Hall Giesinger, C., Ananthanarayanan, V.: NMC Horizon Report: 2017, Higher Education Edition (eds.). The New Media Consortium, Austin (2017)

    Google Scholar 

  20. Zurita, G., Nussbaum, M.: Computer supported collaborative learning using wirelessly interconnected handheld computers. Comput. Educ. 42(3), 289–314 (2004)

    Article  Google Scholar 

  21. Baloian, N., Zurita, G.: MC-supporter: flexible mobile computing supporting learning though social interactions. J. UCS 15(9), 1833–1851 (2009)

    Google Scholar 

  22. Blasco-Arcas, L., Buil, I., Hernández-Ortega, B., Sese, F.J.: Using clickers in class. The role of interactivity, active collaborative learning and engagement in learning performance. Comput. Educ. 62, 102–110 (2013)

    Article  Google Scholar 

  23. Carpenter, J.P.: Twitter’s capacity to support collaborative learning. Int. J. Soc. Media Interact. Learn. Environ. 2(2), 103–118 (2014)

    Article  Google Scholar 

  24. Zurita, G., Baloian, N., Baytelman, F.: A face-to-face system for supporting mobile collaborative design using sketches and pen-based gestures. In: 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2006. IEEE (2006)

    Google Scholar 

  25. Zurita, G., Baloian, N.: Handheld-based electronic meeting support. In: Fukś, H., Lukosch, S., Salgado, A.C. (eds.) CRIWG 2005. LNCS, vol. 3706, pp. 341–350. Springer, Heidelberg (2005). https://doi.org/10.1007/11560296_27

    Chapter  Google Scholar 

  26. Aparici, R., Marín, D.G.: Comunicar y educar en el mundo que viene (in Spanish). GEDISA (2017)

    Google Scholar 

  27. Collazos, C., Guerrero, L., Pino, J.A., Ochoa, S., Stahl, G.: Designing collaborative learning environments using digital games. J. Univers. Comput. Sci. 13(7), 1022–1032 (2007)

    Google Scholar 

  28. Gallardo, T., Guerrero, L., Collazos, C., Pino, J.A., Ochoa, S.: Supporting JIGSAW-type collaborative learning. In: 36th Hawaii International Conference on System Sciences (HICSS 2003). IEEE Press (2003)

    Google Scholar 

  29. Baloian, N., Pino, Jose A., Hardings, J., Hoppe, H.U.: Monitoring student activities with a querying system over electronic worksheets. In: Baloian, N., Burstein, F., Ogata, H., Santoro, F., Zurita, G. (eds.) CRIWG 2014. LNCS, vol. 8658, pp. 38–52. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-10166-8_4

    Chapter  Google Scholar 

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Acknowledgements

This paper was funded by Fondecyt 1161200.

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Correspondence to Nelson Baloian .

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Zurita, G., Baloian, N., Jerez, O., Peñafiel, S., Pino, J.A. (2018). Findings When Converting a Summative Evaluation Instrument to a Formative One Through Collaborative Learning Activities. In: Rodrigues, A., Fonseca, B., Preguiça, N. (eds) Collaboration and Technology. CRIWG 2018. Lecture Notes in Computer Science(), vol 11001. Springer, Cham. https://doi.org/10.1007/978-3-319-99504-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-99504-5_1

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