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Submitted
Sep 3, 2019
Accepted
Sep 8, 2019
Published
Oct 12, 2019
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Abstract

Social Question and Answer portals allow users to post and answer questions on different issues, among which foreign languages. The present paper focuses on feedback requests, i.e. questions in which users of the site ask for linguistic feedback on short sentences or phrases. In particular, it reports on a research on how reliable is the evaluation of answers provided by the portal’s users to identify correct and good linguistic feedback. An observational approach was adopted on about 600 answers in the Italian version of Yahoo! Answers. Each feedback was evaluated by two expert teachers and their rating was then compared with the evaluation provided by the site’s users. Results show that, while the correlation between the votes of the community and the rating of the experts is rather weak, answers with a positive evaluation generally contain a correct feedback. We conclude, therefore, that caution must be exercised when using users’ evaluation as guidance on feedback choice.

Keywords

Question and Answer Informal Language Learning Corrective Feedback Italian

Article Details

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How to Cite
Torsani, S. (2019). User ratings as a predictor of linguistic feedback quality in Question and Answer portals. Journal of E-Learning and Knowledge Society, 15(3), 227-237. https://doi.org/10.20368/1971-8829/1135045

References

  1. Adamic, L. A., Zhang, J., Bakshy, E., & Ackerman, M. S. (2008, April). Knowledge sharing and yahoo answers: everyone knows something. In Proceedings of the 17th international conference on World Wide Web (pp. 665-674). ACM.
  2. Bower, J., & Kawaguchi, S. (2011). Negotiation of meaning and corrective feedback in Japanese/English eTandem. Language Learning & Technology, 15(1), 41-71.
  3. Brown, D. (2016). The type and linguistic foci of oral corrective feedback in the L2 classroom: A meta-analysis. Language Teaching Research, 20(4), 436-458.
  4. Chapelle, C. A. (2006). Interactionist SLA theory in CALL research. In CALL research perspectives (pp. 65-76). Routledge.
  5. Galton, F. (1907). Vox populi (the wisdom of crowds). Nature, 75(7), 450-451.
  6. Ferguson, R., & Shum, S. B. (2012). Social learning analytics: five approaches. In Proceedings of the 2nd international conference on learning analytics and knowledge (pp. 23-33). ACM.
  7. Harrison, R., & Thomas, M. (2009). Identity in online communities: Social networking sites and language learning. International Journal of Emerging Technologies and Society, 7(2), 109-124.
  8. Jin, J., Li, Y., Zhong, X., & Zhai, L. (2015). Why users contribute knowledge to online communities: An empirical study of an online social Q&A community. Information & management, 52(7), 840-849.
  9. Lin, C. H., Warschauer, M., & Blake, R. (2016). Language learning through social networks: Perceptions and reality. Language Learning & Technology, 20(1), 124-147.
  10. Lomicka, L., & Lord, G. (2016). Social networking and language learning. The Routledge handbook of language learning and technology, 255-268.
  11. Lyster, R., & Saito, K. (2010). Interactional feedback as instructional input: A synthesis of classroom SLA research. Language, Interaction and Acquisition, 1(2), 276-297.
  12. Reinhardt, J. (2019). Social media in second and foreign language teaching and learning: Blogs, wikis, and social networking. Language Teaching, 52(1), 1-39.
  13. Shum, S. B., & Ferguson, R. (2012). Social learning analytics. Journal of educational technology & society, 15(3), 3-26.
  14. Stevenson, M. P., & Liu, M. (2013). Learning a language with Web 2.0: Exploring the use of social networking features of foreign language learning websites. CALICO journal, 27(2), 233-259.
  15. Surowiecki, J. (2005). The wisdom of crowds. Anchor.
  16. Vinagre, M., & Muñoz, B. (2011). Computer-mediated corrective feedback and language accuracy in telecollaborative exchanges. Language Learning & Technology, 15(1), 72-103.
  17. Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146-1151.
  18. Zheng, B., Yim, S., & Warschauer, M. (2018). Social media in the writing classroom and beyond. The TESOL Encyclopedia of English Language Teaching, 1-5.
  19. Ziegler, N. (2016). Synchronous computer-mediated communication and interaction: A meta-analysis. Studies in Second Language Acquisition, 38(3), 553-586.