Investigating Digital Reading in L2 to Criticize and to Summarize: Working Memory Capacity and Reading Purpose Influencing Strategy

Authors

  • Leonilda Procailo State University of the Central West
  • Lêda Maria Braga Tomitch Federal University of Santa Catarina

DOI:

https://doi.org/10.17533/udea.lyl.n78a13

Keywords:

digital reading, working memory capacity, inference generation, reading purpose

Abstract

The construction of meaning and inference generation considering low- and high- working memory span when readers read digital texts in L2 to criticize and to summarize were examined. Data collection included Reading Span Test, verbal protocol and post-reading tasks. The low-span group showed more misunderstandings in both purposes and a significant result of moderate correlation between reading time and reading to summarize. Both groups made more metacognitive comments when reading hypertexts to summarize and found strategies to cope with the demands of the nonlinear hypertext.

|Abstract
= 351 veces | PDF
= 262 veces| | HTML
= 0 veces|

Downloads

Download data is not yet available.

Author Biographies

Leonilda Procailo, State University of the Central West

Ph.D. in Language Studies from Federal University of Santa Catarina, Brazil (2017). She got her Master’s Degree in Linguistics from Federal University of Paraná, Brazil (2007), majored in Portuguese language (1991) and in English language (1994) from the same university. Procailo is currently working as an Adjunct professor at State University of the Central West - UNICENTRO (Brazil). She has experience in Portuguese and English language teaching in elementary schools and universities. Her main research interests are reading in L2 (reading and digital literacy; strategies, and inferential processes) English language teaching methodology, and teacher education.

Lêda Maria Braga Tomitch, Federal University of Santa Catarina

Full professor at the Department of Foreign Languages and Literature at the Federal University of Santa Catarina (Brazil). She has an M.A. (1988) and a Ph.D. (1995) in English-Applied Linguistics from the same university. She has been a visiting scholar at the Center for Cognitive Brain Imaging at Carnegie Mellon University, United States (1999-2000) and at the Research Centre for Cognitive Neuroscience at the University of Auckland, New Zealand (2018). Her research interests include the relationship between working memory capacity and reading comprehension; the implementation of reading processes in the brain; and reading instruction.

References

Afflerbach, P. & Cho, B. (2009). Identifying and describing constructively responsive comprehension strategies in new and traditional forms of reading. In S. E. Israel & G. G. Duffy (Eds.), Handbook of research on reading comprehension (pp. 69-90). Routledge, New York.

Afflerbach, P., Pearson, P. D., & Paris, S. G. (2008). Clarifying differences between reading skills and reading strategies. The Reading Teacher, 61(5), 364–373. Retrieved from http://www.academia.edu/3141569

Afflerbach, P. (2000). Verbal reports and protocol analysis. In M. L. Kamil, P. B. Mosenthal, D. Pearson, & R. Ban (Eds.), Handbook of reading research -Vol. III (pp. 163-179). New Jersey: LEA. Retrieved from http://www.questia.com

Alexander, P. A. & Fox, E. (2004). A historical perspective on reading research and practice. Theoretical models of reading (pp. 33-68). IRA. Retrieved from https://www.researchgate.net/publication/255654818

Alptekin, C. & Erçetin, G. (2009). Assessing the relationship of working memory to L2 reading: Does the nature of comprehension process and reading span task make a difference? System, 37, 627-639. DOI:10.1016/j.system.2009.09.007

Caldart, D. (2012). The effect of genre expectation on EFL Brazilian students’ inference generation and reading comprehension. (Master thesis). Universidade Federal de Santa Catarina, Florianópolis.

Cho, B.-Y. (2011). Adolescents’ constructively responsive reading strategy use in a critical internet reading task (Doctoral dissertation). University of Maryland College Park, Maryland. Retrieved from https://drum.lib.umd.edu/handle/1903/11879

Cho, B.-Y. & Afflerbach, P. (2017). An evolving perspective of constructively responsive reading comprehension strategies in multilayered digital text environments. In. S. E. Israel (Ed.), Handbook of research on reading comprehension, (2nd Edition) (pp. 109-134). Guilford Publications. Retrieved from https://www.researchgate.net/publication/317021664

Conway, A.R. & Engle, R.W. (1994). Working memory and retrieval: a resource-dependent inhibition model. J Exp Psychol Gen., 123(4), 354-73.

Daneman, M. & Carpenter, P.A. (1980). Individual differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19, 450-466.

Darroch, I., Goodman, J., Brewster, S., & Gray, P. (2005). The effect of age and font size on reading text on handheld computers, In M. F. Costabile & F. Patemò (Eds), Human-computer interaction-INTERACT 2005: Proceedings of the IFIP TC13 International Conference (Rome, Italy), Lecture Notes in Computer Science, number 3585. Berlin: Springer-Verlag, (pp. 253–266). Retrieved from https://link.springer.com/chapter/10.1007/11555261_23

Erceg-Hurn, D. M. & Mirosevich, V. M. (2008). Modern Robust Statistical Methods: An easy way to maximize the accuracy and power of your research. American Psychologist, 63(7), 591-601.

Fontanini, I. & Tomitch, L.M.B. (2009). Working memory capacity and L2 university students’ comprehension of linear texts and hypertexts. IJES, 9(2), 1-18. Retrieved from https://www.researchgate.net/publication/40910165

Fox, E. & Alexander, P. A. (2009). Text comprehension: a retrospective, perspective, and prospective. In S. E. Israel & G. G. Duffy (Eds.), Handbook of research on reading comprehension (pp. 227-239). Routledge, New York

Friedman, N. P. & Miyake, A. (2005). Comparison of four scoring methods for the reading span test. Behavior Research Methods, 37(4), 581-590. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/16629290

Friedman, N. P. & Miyake, A. (2004) The reading span test and its predictive power for reading comprehension ability. Journal of Memory and Language, 51, 136-158. Retrieved from https://doi.org/10.1016/j.jml.2004.03.008

Gagné, E. D, Yekovich, C.W., & Yekovich, F.R. (1993). Reading. In The cognitive psychology of school learning (pp. 257-312). New York: Harper Collins College Publishers.

Gil, L., Braten, I., Vidal-Abarca, E., & Stromso, H.I. (2010). Understanding and integrating multiple science texts: summary tasks are sometimes better than argument tasks. Reading Psychology, 31, 30-68. DOI: 10.1080/02702710902733600

Heitz, R.P, Unsworth, N., & Engle, R.W. (2005). Working memory capacity, attention control, and fluid intelligence. In O. Wilhelm, R. W. Engle (Eds.), Handbook of understanding and measuring intelligence (pp. 61-77). Thousand Oaks, CA: Sage Publications, Inc. DOI: 10.1016/j.cogpsych.2014.01.003

Kintsch, W. & van Dijk. T. A. (1978). Toward a model of text comprehension and production. Psychological Review, 85(5), 363-394.

Kline, R. (2004). Beyond significance testing: Reforming data analysis methods in behavioral research. Washington, D.C.: American Psychological Association.

Klois, S.S., Segers, E., & Verhoeven, L. (2013). How hypertext fosters children’s knowledge acquisition: The roles of text structure and graphical overview. Computers in Humans Behavior, 29, 2047-2057. Retrieved from http://dx.doi.org/10.1016/j.chb.2013.03.013

Larson-Hall, J. (2010). A guide to doing statistics in second language research using SPSS. New York and London: Routledge. Retrieved from http://cw.routledge.com/textbooks/9780805861853/R/full-version.pdf

Lee, M. & Tedder, M. (2003). The effects of three different computer texts on readers’ recall: based on working memory capacity. Computers in Human Behavior, 19, 767-783. Retrieved from https://www.researchgate.net/publication/221998003

Lee, M. & Tedder, M. (2004). Introducing expanding hypertext based on working memory capacity and the feeling of disorientation: tailored communication through effective hypertext design. Journal of Educational Computing Research, 30, 171-195. Retrieved from https://www.researchgate.net/publication/250144673

Linck, J. A., Osthus P., Koeth, J. T., & Bunting, M. F. (2013). Working memory and second language comprehension and production: A meta-analysis. Psychonomic Bulletin and Review. DOI 10.3758/s13423-013-0565-2

Linderholm, T. & Van den Broek, P. (2002). The effects of reading purpose and working memory capacity on the processing of expository text. Journal of Educational Psychology, 94(4), 778-784. DOI: 10.1037//0022-0663.94.4.778

Liu, Z. (2005). Reading behavior in the digital environment: changes in reading behavior over the past ten years. Journal of Documentation, 61(6), 700-712. Retrieved from http://www.emeraldinsight.com/researchregister

Magliano, J. P. (1999). Revealing inference processes during text comprehension. In S.R. Goldman, A.C. Graesser, P., & van den Broek (Eds.), Narrative comprehension, causality, and coherence: Essays in honor of Tom Trabasso (pp. 55-75). Mahwah, NJ: LEA. Retrieved from https://www.questia.com/read/27719794/narrative-comprehension-causality-and-coherence

McCrudden, M. T. & Schraw, G. (2007). Relevance and goal-focusing in text processing. Educational Psychology Review, 19, 113-139. DOI:10.1007/s10648-006-9010-7

Naumann, J., Richter T., Christmann, U., & Groeben, H. N. (2008). Working memory capacity and reading skill moderate the effectiveness of strategy training in learning from hypertext. Learning and Individual Differences, 18(2), 197-213. DOI: 10.1037/0022-0663.99.4.791

Oliveira, D.A. (2016). Working memory capacity and mental translation in EFL reading comprehension (Master thesis). Universidade Federal de Santa Catarina, Florianópolis.

Paris, S. C., Lipson, M. Y., & Wixson, K. K. (1994). Becoming a strategic reader. In R. B. Ruddell, M. R. Ruddell, & H. Singer (Eds.), Theoretical models and processes of reading (pp. 788-810). Newark: International Reading Association.

Pressley, M. & Afflerbach, P. (1995). Verbal protocols of reading: The nature of constructively responsive reading. New Jersey: LEA. Retrieved from http://www.questia.com

R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Retrieved from https://www.R-project.org/

Roscioli, D. C. & Tomitch, L. M. B. (2014). The effect of genre expectation on EFL Brazilian students’ inference generation and reading comprehension. Revista do GEL, São Paulo, 11(1), 73-109. Retrieved from https://revistadogel.gel.org.br/rg/article/view/216

RStudio Team (2016). RStudio: Integrated Development for R. RStudio, Inc., Boston, MA. Retrieved from http://www.rstudio.com/

Samuels, S. J. & Kamil, M. L. (2002). Models of the reading process. In R. Ban, M. Kamil, & P. Mosenthal, (Eds), Handbook of reading research. Vol. I (pp. 185-224). New Jersey: Lawrence Erlbaum Associates, 2002. Retrieved from http://www.questia.com

Tomitch, L. M. B. (1995). Reading: text organization perception and working memory capacity (Doctoral dissertation). Universidade Federal de Santa Catarina, Florianópolis.

Tomitch, L. M. B. (2003). Reading: text organization perception and working memory capacity. Florianópolis: UFSC, DLLE.

Tomitch, L.M.B. (2007). Desvelando o processo de compreensão leitora: protocolos verbais na pesquisa em leitura. Signo, 32(53), p.42-53. Retrieved from http://dx.doi.org/10.17058/signo.v32i53.244

Tomitch, L. M. B. (2012). Produção textual acadêmica. Universidade Federal de Santa Catarina, Florianópolis.

Torres, A. C. G. (2003). Working memory capacity and reader’s performance on main idea construction in L1 and L2 (Doctoral dissertation). Universidade Federal de Santa Catarina, Florianópolis.

Van den Broek, P., Lorch, R. F., Linderholm, T., & Gustafson, M. (2001). The effects of readers’ goals on inference generation and memory for texts. Memory & Cognition, 29 (8), 1081-1087. Retrieved from https://link.springer.com/content/pdf/10.3758%2FBF03206376.pdf

Van Dijk, T. & Kintsch, W. (1983). Strategies for discourse comprehension. New York: Academic Press.

Vonk, M. & Noordman, L. G.M. (1990). On the control of inferences in text understanding. In D.A. Balota, G.B. Flôres d’Arcais, & K. Rayner (Eds.), Comprehension processes in reading (pp. 447-464). LEA, NJ. Retrieved from https://www.questia.com/read/59264892

Waniek, J. (2012). How information organisation affects users’ representation of hypertext structure and content. Behaviour & Information Technology, 31(2), 143-154. Retrieved from http://dx.doi.org/10.1080/01449290903544652

Zumbach, J. & Mohraz, M. (2008). Cognitive load in hypermedia reading comprehension: Influence of text type and linearity. Computers in Human Behavior, 24(3), 875–887. DOI:10.1016/j.chb.2007.02.015

Downloads

Published

2020-09-20

How to Cite

Procailo, L., & Braga Tomitch, L. M. . (2020). Investigating Digital Reading in L2 to Criticize and to Summarize: Working Memory Capacity and Reading Purpose Influencing Strategy . Lingüística Y Literatura, 41(78), 320–351. https://doi.org/10.17533/udea.lyl.n78a13

Issue

Section

Linguistic studies