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)
ISL (2020). Experience in the Use of a Digital Platform for the Practice ISL, 14, 1-20.
Diel Schanzembach, M. (2019). Lecturas, pantallas y adolescentes lectores: estudio exploratorio
descriptivo, de tipo mixto, sobre la literacidad digital en estudiantes de Montevideo
(Memoria). Universidad ORT Uruguay, Instituto de Educación.
http://hdl.handle.net/20.500.11968/4019.
Dirección de Estudios Sociales. (2014). ‘Encuesta de Comportamiento Lector’.
http://plandelectura.gob.cl/wp-content/uploads/2015/04/Presentacionde-
ResultadosECL2014.pdf
Donoso, F., Gallardo, F., & Matus, F. (2016). ‘La Experiencia de Chile en PIAAC’.
https://www.mideuc.cl/wp-content/uploads/2016/08/La-experiencia-de-Chile-en-
Piaac.pdf
Duke, N. K., & Carlisle, J. (2011). The Development Comprehension. Handbook of Reading
Research, Vol. 4. Pearson.
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the
acquisition of expert performance. Psychological review, 100(3), 363.
García, J.A.C. (2016). La investigación sobre lectura en el entorno digital. MEI: Métodos de
información, 7(13), 247-268.
Garcı
́
a M. A., Are
́
valo M. A. & Herna
́
ndez C. A. (2018). La comprensio
́
n lectora y el rendimiento
escolar. Cuadernos de Lingu
̈
ı
́
stica Hispa
́
nica, 32, 155-174.
Go
́
mez, I. M., Garcı
́
a, J. A., Vila, J. O., Elosu
́
a, M. R., & Rodrı
́
guez, R. (2014). The dual processes
hypothesis in mathematics performance: beliefs, cognitive reflection, working memory
and reasoning. Learning and Individual Differences, 29, 67-73.
Gómez-Velázquez, F. R., González-Garrido, A. A., Zarabozo, D., & Amano, M. (2010). La
velocidad de denominación de letras: el mejor predictor temprano del desarrollo lector en
español. Revista mexicana de investigación educativa, 15(46), 823-847.
Gutiérrez-Braojos, C., & Pérez, H. S. (2012). Estrategias de comprensión lectora: enseñanza y
evaluación en educación primaria. Profesorado. Revista de currículum y formación de
profesorado, 16(1), 183-202.
Hanlon, S. T. (2013). The relationship between deliberate practice and reading ability (Doctoral
dissertation, The University of North Carolina at Chapel Hill).
https://cdr.lib.unc.edu/concern/dissertations/r207tp934
Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm
whose time has come. Educational Researcher, 33(7), 14-26.
Kendeou, P., McMaster, K. L., & Christ, T. J. (2016). Reading comprehension: Core components
and processes. Policy Insights from the Behavioral and Brain Sciences, 3(1), 62-69.
Kintsch, W. (1998). Comprehension: A paradigm for cognition. Cambridge University Press.
Leguizamón Sotto, D. V., Alaís Grill, A., & Sarmiento Ceballos, J. I. (2014). Mejoramiento de la
comprensión lectora en estudiantes de cuarto grado de básica primaria mediante el
desarrollo de estrategias cognitivas con el apoyo de un recurso TIC. (Masters Dissertation,
Universidad de la Sabana). https://intellectum.unisabana.edu.co/handle/10818/11347.
Manis, F. R., Seidenberg, Mark S., & Doi, L. M. (1999). See Dick RAN: Rapid naming and the
longitudinal prediction of reading subskills in first and second graders. Scientific Studies
of Reading, 3(2), 129–157.
ISSN 2340-8685
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