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An analysis of the orthographic errors found in university students’ asynchronous digital writing

  • Esteban Vázquez-Cano
  • Ana Isabel Holgueras González
  • José Manuel Sáez-López
Article
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Abstract

This article presents an analysis of the orthographic errors found in university students’ asynchronous digital writing. A university and a society belonging to the twenty-first century require students and professionals who can use their language correctly in any context, device and mode of communication. The research was based on a sample of 1237 digital interactions in discussion forums and emails between students of the National University of Distance Learning on subjects related to academic work. We applied a descriptive quantitative methodology by means of a statistical and lexicometric analysis of the written texts and multiple regression analysis, related to four independent variables: gender, studies, interlocutor (professor/student), and digital device (fixed, mobiles) and three orthographic sub-levels (punctuation, accentuation and spelling). The results show that there is considerable room for improvement in the orthography of university students’ asynchronous digital writing. A total of 71.3% of errors were not conditioned by independent variables but by ignorance of the orthographic rules or incorrect use of the language.

Keywords

Digital writing Lexicometry Orthographic errors European Higher Education Area Computer mediated communication 

Notes

Acknowledgements

This research forms part of the work carried out by the Alfamed group (EuroAmerican Interuniversity Network for Research on Media Competences for Citizens), with the support of the Coordinated I+D+I Project called “Citizens’ Media Competences in emerging digital media (smartphones and tablets): innovative practices and educommunication strategies in multiple contexts” (EDU2015-64015-C3-1-R) (MINECO/FEDER), and of the “Media Education Network” of the State Program for the Promotion of Excellence in Scientific-Technical Research, the State Subprogram for Knowledge Generation (EDU2016-81772-REDT), financed by FEDER (European Regional Development Fund) and Spain’s Ministry of Economy and Competitiveness.

Compliance with ethical standards

Conflict of interest

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

References

  1. Barnett, R. (2001). Los límites de la competencia. El conocimiento, la educación superior y la sociedad. Barcelona: Gedisa.Google Scholar
  2. Barry, C. A. (1998). Choosing qualitative data analysis software: Atlas. Ti and Nudist Compared. Sociological Research Online, 3(3). Retrieved from http://www.socresonline.org.uk/socresonline/3/3/4.html.CrossRefGoogle Scholar
  3. BBC. (2011). Spelling mistakes cost millions in lost online sales. Education and Family. BBC News. Retrieved from http://www.iad-scientific-editing.co.uk/spelling_mistakes_cost_millions_in_lost_online_sales.pdf.
  4. Bodomo, A. B., & Lee, C. K. M. (2004). Linguistic features of SMS texts in Hong Kong. Australian Journal of Communication, 11, 63–85.Google Scholar
  5. Browne, E. (2003). Conversations in cyberspace: A study of online learning. Online Learning, 18(3), 245–259.Google Scholar
  6. Bruthiaux, P. (1993). Knowing when to stop: Investigating the nature of punctuation. Language and Communication, 13(1), 27–43.CrossRefGoogle Scholar
  7. Caldera, R. (2002). Escritura y escuela: investigación-acción en el aula. Memorias del VII Congreso Latinoamericano para el Desarrollo de la Lectura y la Escritura (pp. 268–272). México: Consejo de Lectura de Puebla, A. C.Google Scholar
  8. Carico, K. M., & Logan, D. (2004). A generation in cyberspace: Engaging readers through online discussions. Language Arts, 81(4), 293–302.Google Scholar
  9. Cassany, D. (2003). La escritura electrónica. Cultura y educación, 3(15), 239–251.Google Scholar
  10. Ciria, P. (2009). Los universitarios suspenden en ortografía. Fundeu-Heraldo de Aragon. Retrieved from http://www.fundeu.es/noticia/los-universitarios-suspenden-en-ortografia-5060/.
  11. Dublin Descriptors. (2005). Shared “Dublin” descriptors for the Bachelor´s, Master´s and Doctoral awards. Draft 1.31 working document on JQI meeting in Dublin. 2004PC.Google Scholar
  12. EACEA/Eurydice. (2011). Modernisation of higher education in Europe: Funding and the social dimension. Brussels: EACEA P9 Eurydice.Google Scholar
  13. Flores Vivar, J. M. (2009). Nuevos modelos de comunicación, perfiles y tendencias en las redes sociales. Comunicar, 33, 73–81.CrossRefGoogle Scholar
  14. Fraca de Barrera, L. (2006). La ciberlingua. Una variedad compleja de lengua en Internet. Caracas: Instituto Venezolano de Investigaciones Lingüísticas y Literarias “Andrés Bello”.Google Scholar
  15. Gómez Camacho, A. (2007). La ortografía del español y los géneros electrónicos. Comunicar, 29, 157–164.Google Scholar
  16. Gómez Camacho, A. (2014). La norma disortográfica en la escritura. Didac, 63, 19–25.Google Scholar
  17. Gómez, M., Roses, S., & Farias, P. (2012). El uso académico de las redes sociales en universitarios. Comunicar, 38, 131–138.CrossRefGoogle Scholar
  18. González-Lloret, M. (2011). Conversation analysis of computer-mediated communication. CALICO Journal, 28(2), 308–325.CrossRefGoogle Scholar
  19. Grimes, D., & Warschauer, M. (2010). Utility in a fallible tool: A multi-site case study of automated writing evaluation. Journal of Technology, Learning, and Assessment, 8(6), 1–43.Google Scholar
  20. Herring, S. C. (2013). Relevance in computer-mediated conversation. In S. C. Herring, D. Stein, & T. Virtanen (Eds.), Handbook of pragmatics of computer-mediated communication (pp. 245–268). Berlin: Mouton.CrossRefGoogle Scholar
  21. Hutchby, I., & Tanna, V. (2008). Aspects of sequential organization in text message exchange. Discourse and Communication, 2(2), 143–164.CrossRefGoogle Scholar
  22. Jaffe, A., & Walton, S. (2000). The voices people read: Orthography and the representation of non-standard speech. Journal of Sociolinguistics, 4(4), 561–587.CrossRefGoogle Scholar
  23. Kelley, S. (2010). Texting, Twitter contributing to students’ poor grammar skills, profs say. The Globe and Mail. Retrieved from http://www.theglobeandmail.com/technology/texting-twitter-contributing-to-students-poor-grammar-skills-profs-say/article4304193/.
  24. Kuteeva, M. (2011). Wikis and academic writing: Changing the writer–reader relationship. English for Specific Purposes, 30(1), 44–57.CrossRefGoogle Scholar
  25. Lafon, P. (1980). Sur la variabilité des fréquences des formes dans un corpus. Mots, 1, 127–165.CrossRefGoogle Scholar
  26. Lebart, L., & Salem, A. (1994). Statistique textuelle. Paris: Dunod.Google Scholar
  27. Lee, C. K. M. (2011). Micro-blogging and status updates on facebook:Texts and practices. In C. Thurlow & K. Mroczek (Eds.), Digital discourse. Language in the new media (pp. 110–128). Oxford: Oxford University Press.CrossRefGoogle Scholar
  28. LOMCE. (2013). Organic law on the improvement of the quality of Education. Retrieved from https://www.boe.es/buscar/act.php?id=BOE-A-2013-12886.
  29. Markman, K. M. (2013). Conversational coherence in small group chat. In S. Herring, D. Stein, & T. Virtanen (Eds.), Pragmatics of computer-mediated communication (pp. 539–564). Berlin: Mouton de Gruyter.Google Scholar
  30. Martínez de Sousa, J. (1985). Diccionario de ortografía. Madrid: Anaya.Google Scholar
  31. Mayans i Planells, J. (2002). De la incorrección normativa en los chats. Revista de investigación Lingüística, 2(5), 101–116.Google Scholar
  32. Medina Guerra, A. (1994). La enseñanza de la ortografía en la Universidad. Reale, 2, 73–78.Google Scholar
  33. Moore, N. (2016). What’s the point? The role of punctuation in realising information structure in written English. Functional Linguistics, 3(6), 1–23.  https://doi.org/10.1186/s40554-016-0029-x.CrossRefGoogle Scholar
  34. Morales, O. (2001). ¿Cómo contribuir con el desarrollo de las competencias de los estudiantes universitarios como productores de textos? II Simposio Internacional de Lectura y Vida. Buenos Aires: Asociación Internacional de Lectura/Lectura y Vida.Google Scholar
  35. Parrilla, E. A. (2008). Alteraciones del lenguaje en la era digital. Comunicar, 30, 131–136.CrossRefGoogle Scholar
  36. Paton, G. (2008, Agosto 6). University students ‘cannot spell’. The Telegraph. Retrieved from http://www.telegraph.co.uk/news/2510704/University-students-cannot-spell.html.
  37. Pennebaker, J. W., Booth, R. J., & Francis, M. E. (2007). Linguistic inquiry and word count (LIWC2007): A text analysis program. Austin, TX: LIWC.net.Google Scholar
  38. Plester, B., Wood, C., & Bell, V. (2008). Text Msg in school literacy: Does texting and knowledge of text abbreviations adversely affect children’s literacy attainment? Literacy, 42(3), 137–144.CrossRefGoogle Scholar
  39. Pujol, M. (1999). Análisis de errores grafemáticos en textos libres de estudiantes de enseñanzas medias. Tesis de Doctorado. Departamento de Didáctica de la Lengua y la Literatura. Universidad de Barcelona.Google Scholar
  40. Riordan, M. A., Markman, K. M., & Stewart, C. O. (2013). Communication accommodation in instant messaging: An examination of temporal convergence. Journal of Language and Social Psychology, 32(1), 84–95.CrossRefGoogle Scholar
  41. Russell, M., & Plati, T. (2002). Does it matter with what I write? Comparing performance on paper, computer and portable writing devices. Current Issues in Education, 5(4) Retrieved from http://cie.ed.asu.edu/volume5/number4/.
  42. Sevillano, M. L., & Vázquez-Cano, E. (2015). The impact of digital mobile devices in Higher Education. Educational Technology and Society, 18(1), 106–118.Google Scholar
  43. Sixto, J. (2011). La red social Tuenti: análisis del modelo de comunicación y de la estrategia de marketing. Telos: Cuadernos de Comunicación e Innovación, 89, 139–145.Google Scholar
  44. Squires, L. (2010). Enregistering internet language. Language in Society, 39, 457–492.CrossRefGoogle Scholar
  45. The Canadian Press. (2010, Febrero 1). Bad grammar clogging university essays. Retrieved from http://www.cbc.ca/news/bad-grammar-clogging-university-essays-1.938930.
  46. Tuana, E. (1980). Diez años de investigaciones ortográficas. Lectura y vida, Revista Latinoamericana de lectura, 2, 16–19.Google Scholar
  47. Vázquez-Cano, E. (2012). Mobile learning with Twitter to improve linguistic competence at secondary schools. The New Educational Review, 29(3), 134–147.Google Scholar
  48. Vázquez-Cano, E. (2014). Mobile distance learning with smartphones and apps in higher education. Educational Sciences: Theory and Practice, 14(4), 1–16.  https://doi.org/10.12738/est.2014.4.2012.CrossRefGoogle Scholar
  49. Vázquez-Cano, E., Fombona, J., & Fernández, A. (2013). Virtual attendance: Analysis of an audiovisual over IP system for distance learning in the Spanish Open University (UNED). The International Review of Research in Open and Distance Learning (IRRODL), 14(3), 402–426.CrossRefGoogle Scholar
  50. Vázquez-Cano, E., Mengual-Andrés, S., & Roig-Vila, R. (2015). Lexicometric analysis of the specifity of teenagers’ digital writing in WhatsApp. Revista de Lingüística Teórica y Aplicada, 53(1), 83–105.CrossRefGoogle Scholar
  51. Williams, S., & Pury, C. (2002). Student attitudes toward and participation in electronic discussions. International Journal of Educational Technology, 3(1), 1–15.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Didactics and School Organization, Faculty of EducationUniversidad Nacional de Educación a Distancia (UNED)MadridSpain

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