Part of
Learning to Read in a Digital World
Edited by Mirit Barzillai, Jenny Thomson, Sascha Schroeder and Paul van den Broek
[Studies in Written Language and Literacy 17] 2018
► pp. 5790
References
Ackerman, R., & Goldsmith, M.
(2011) Metacognitive regulation of text learning: On screen versus on paper. Journal of Experimental Psychology: Applied, 17, 18–32. DOI logoGoogle Scholar
Ackerman, R., & Lauterman, T.
(2012) Taking reading comprehension exams on screen or on paper? A metacognitive analysis of learning texts under time pressure. Computers in Human Behavior, 28, 1816–1828. DOI logoGoogle Scholar
Amadieu, F., Van Gog, T., Paas, F., Tricot, A., & Mariné, C.
(2009) Effects of prior knowledge and concept-map structure on disorientation, cognitive load, and learning. Learning and Instruction, 19, 376–386. DOI logoGoogle Scholar
Anderson, J. R.
(2004) Cognitive psychology and its implications (6th ed.). New York: Worth.Google Scholar
Anderson, T. H., & Armbruster, B. B.
(1984) Content area textbooks. In R. C. Anderson, J. Osborn, & R. J. Tierney (Eds.), Learning to read in American schools: Basal readers and content texts (pp. 193–226). Hillsdale, NJ: Erlbaum.Google Scholar
Ashby, J., & Rayner, K.
(2006) Literacy development: Insights from research on skilled reading. In D. Dickinson & S. Neuman (Eds.), Handbook of early literacy research (Vol. 3, pp. 52–63). New York: Guilford Press.Google Scholar
Baddeley, A. D.
(1986) Working memory. Oxford: Oxford University Press.Google Scholar
(2000) The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4, 417–423. DOI logoGoogle Scholar
(2007) Working memory: Multiple models, multiple mechanisms. In H. L. Roediger, Y. Dudai, & S. M. Fitzpatrick (Eds.), Science of memory: Concepts (pp. 151–153). Oxford: Oxford University Press.Google Scholar
Baddeley, A. D., & Hitch, G.
(1974) Working memory. In G. H. Bower (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 8, pp. 47–89). New York: Academic Press. DOI logoGoogle Scholar
Badre, D.
(2008) Cognitive control, hierarchy, and the rostro–caudal organization of the frontal lobes. Trends in Cognitive Sciences, 12, 193–200. DOI logoGoogle Scholar
Baker, L
(1989) Metacognition, comprehension monitoring, and the adult reader. Educational Psychology Review, 1, 3–38. DOI logoGoogle Scholar
Baker, L., & Beall, L. C.
(2009) Metacognitive processes and reading comprehension. In S. E. Israel & G. G. Duffy (Eds.), Handbook of research on reading comprehension (pp. 373–388). New York, NY: Routledge.Google Scholar
Band, G. P., van der Molen, M. W., Overtoom, C. C., & Verbaten, M. N.
(2000) The ability to activate and inhibit speeded responses: Separate developmental trends. Journal of Experimental Child Psychology, 75, 263–290. DOI logoGoogle Scholar
Berger, A., Tzur, G., & Posner, M. I.
(2006) Infant brains detect arithmetic errors. Proceedings of the National Academy of Sciences, 103, 12649–12653. DOI logoGoogle Scholar
Bjork, R. A., Dunlosky, J., & Kornell, N.
(2013) Self-regulated learning: Beliefs, techniques, and illusions. Annual Review of Psychology, 64, 417–444. DOI logoGoogle Scholar
Boechler, P. M.
(2001) How spatial is hyperspace? Interacting with hypertext documents: Cognitive processes and concepts. Cyberpsychology & Behavior, 4, 23–46. DOI logoGoogle Scholar
Bohn-Gettler, C., & Kendeou, P.
(2014) The interplay of reader goals, working memory, and text structure during reading. Contemporary Educational Psychology, 39, 206–219. DOI logoGoogle Scholar
Bosse, M. L., Tainturier, M. J., & Valdois, S.
(2007) Developmental dyslexia: The visual attention span deficit hypothesis. Cognition, 104, 198–230. DOI logoGoogle Scholar
Bosse, M. L., & Valdois S.
(2009) Influence of the visual attention span on child reading performance: A cross sectional study. Journal of Research in Reading, 32, 230–253. DOI logoGoogle Scholar
Broadbent, D. E.
(1958) Perception and communication. London: Pergamon Press. DOI logoGoogle Scholar
Burin, D. I., Barreyro, J. P., Saux, G., & Irrazábal, N. C.
(2015) Navigation and comprehension of digital expository texts: Hypertext structure, previous domain knowledge, and working memory capacity. Electronic Journal of Research in Educational Psychology, 13, 529–550. DOI logoGoogle Scholar
Cain, K., Bryant, P. E., & Oakhill, J.
(2004) Children’s reading comprehension ability: Concurrent prediction by working memory, verbal ability, and component skills. Journal of Educational Psychology, 96, 31–42. DOI logoGoogle Scholar
Carrasco, M.
(2014) Spatial covert attention: Perceptual modulation. In A. C. Nobre & S. Kastner (Eds.), The Oxford Handbook of attention (pp. 183–239). Oxford: Oxford University Press. DOI logoGoogle Scholar
Calisir, F., & Gurel, Z.
(2003) Influence of text structure and prior knowledge of the learner on reading comprehension, browsing and perceived control. Computers in Human Behavior, 19, 135–145. DOI logoGoogle Scholar
Casey, B., Giedd, J., & Thomas, K.
(2000) Structural and functional brain development and its relation to cognitive development. Biological Psychology, 54, 241–257. DOI logoGoogle Scholar
Checa, P., Rodriguez-Bailon, R., & Rueda, M. R.
(2008) Neurocognitive and temperamental systems of self-regulation and early adolescents’ social and academic outcomes. Mind, Brain, and Education, 2, 177–198. DOI logoGoogle Scholar
Chen, C. M., & Huang, S. H.
(2014) Web-based reading annotation system with an attention-based self-regulated learning mechanism for promoting reading performance. British Journal of Educational Technology, 45, 959–980. DOI logoGoogle Scholar
Chun, M. M., & Turk-Browne, N. B.
(2007) Interactions between attention and memory. Current Opinion in Neurobiology, 17, 177–184. DOI logoGoogle Scholar
Cho, B.-Y.
(2013) Adolescents’ constructively responsive reading strategy use in a critical internet reading task. Reading Research Quarterly, 48, 329–332. DOI logoGoogle Scholar
Coiro, J., & Dobler, E.
(2007) Exploring the online reading comprehension strategies used by sixth-grade skilled readers to search for and locate information on the Internet. Reading Research Quarterly, 42, 214–257. DOI logoGoogle Scholar
Coiro, J.
(2015) Purposeful, critical, and flexible. Vital dimensions of online reading and learning. In R. J. Spiro, M. DeSchryver, M. S. Hagerman, P. M. Morsink, & P. Thompson (Eds.), Reading at a crossroads? Disjunctures and continuities in current conceptions and practices (pp. 53–64). New York: Routledge.Google Scholar
Daneman, M., & Carpenter, P. A.
(1980) Individual differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19, 450–466. DOI logoGoogle Scholar
De Bruyckere, P., Kirschner, P. A., & Hulshof, C. D.
(2016) Technology in education: What teachers should know. American Educator, 40, 12–18.Google Scholar
de Leeuw, R.
(2010) Special font for dyslexia? (unpublished master’s thesis). University of Twente, The Netherlands.
Denckla M. B.
(1989) Executive function, the overlap zone between attention deficit hyperactivity disorder and learning disabilities. International Pediatrics, 4, 155–160.Google Scholar
DeStefano, D., & LeFevre, J.-A.
(2007) Cognitive load in hypertext reading: A review. Computers in Human Behavior, 23, 1616–1641. DOI logoGoogle Scholar
Dolenc, K., & Aberšek, B.
(2015) TECH8 intelligent and adaptive e-learning system: Integration into technology and science classrooms in lower secondary schools. Computers and Education, 82, 354–365. DOI logoGoogle Scholar
Driver, J.
(2001) A selective review of selective attention research from the past century. British Journal of Psychology, 92, 53–78. DOI logoGoogle Scholar
Dunlosky, J., & Thiede, K. W.
(1998) What makes people study more? An evaluation of factors that affect self-paced study. Acta Psychologica, 98, 37–56. DOI logoGoogle Scholar
Durkin, D.
(1993) Teaching them to read (6th ed.). Boston: Allyn & Bacon.Google Scholar
Dyson, M. C.
(2004) How physical text layout affects reading from screen. Behaviour & Information Technology, 23, 377–393. DOI logoGoogle Scholar
Eden, S., & Eshet-Alkalai, Y.
(2013) The effect of format on performance: Editing text in print versus digital formats. British Journal of Educational Technology, 44, 846–856. DOI logoGoogle Scholar
Efklides, A.
(2008) Metacognition: Defining its facets and levels of functioning in relation to self-regulation and co-regulation. European Psychologist, 13, 277–287. DOI logoGoogle Scholar
Erdmann, B., & Dodge, R.
(1898) Psychologische Untersuchungen über das Lesen auf experimenteller Grundlage. Halle: Niemeyer.Google Scholar
Fitzsimmons, G.
(2017) The influence of hyperlinks on reading on the web: An empirical approach (Unpublished doctoral thesis). University of Southampton, UK.
Flavell, J. H.
(1979) Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34, 906–911. DOI logoGoogle Scholar
Furió, D., Juan, M. C., Seguí, I., & Vivó, R.
(2015) Mobile learning vs. traditional classroom lessons: A comparative study. Journal of Computer Assisted Learning, 31, 189–201. DOI logoGoogle Scholar
Furnes, B., & Norman, E.
(2015) Metacognition and reading: Comparing three forms of metacognition in normally developing readers and readers with dyslexia. Dyslexia, 21, 273–284. DOI logoGoogle Scholar
Gagl, B.
(2016) Blue hypertext is a good design decision: No perceptual disadvantage in reading and successful highlighting of relevant information. PeerJ, 4, e2467. DOI logoGoogle Scholar
Gaskins, I. W., Satlow, E., & Pressley, M.
(2007) Executive control of reading comprehension in the elementary school. In L. Meltzer (Ed.), Executive function in education: From theory to practice (pp. 194–216). New York: Guilford Press.Google Scholar
Gathercole, S. E., Alloway, T. P., Willis, C. S., & Adams, A. M.
(2006) Working memory in children with reading disabilities. Journal of Experimental Child Psychology, 93, 265–281. DOI logoGoogle Scholar
Goldberg, M. E., & Wurtz, R. H.
(2013) Visual processing and action. In A. J. Kandel, E. R., Schwartz, J. H., Jessell, T. M., Siegelbaum, & A. J. Hudspeth (Eds.), Principles of neural science (5th ed., pp. 638–654). New York: McGraw-Hill Medical.Google Scholar
Goldman, S. R., Ozuru, Y., Braasch, J. L., Manning, F. H., Lawless, K. A., Gomez, K. W., & Slanovits, M.
(2013) Literacies for learning: A multiple source comprehension illustration. In N. L. Stein & S. W. Raudenbush (Eds.), Developmental cognitive science goes to school (pp. 30–44). London, England: Routledge.Google Scholar
Greene, J. A., & Azevedo, R.
(2007) A theoretical review of Winne and Hadwin’s model of self-regulated learning: New perspectives and directions. Review of Educational Research, 77, 334–372. DOI logoGoogle Scholar
Gu, X., Wu, B., & Xu, X.
(2015) Design, development, and learning in e-Textbooks: What we learned and where we are going. Journal of Computers in Education, 2, 25–41. DOI logoGoogle Scholar
Guinee, K., Eagleton, M. B., & Hall, T. E.
(2003) Adolescents’ internet search strategies: Drawing upon familiar cognitive paradigms when accessing electronic information sources. Journal of Educational Computing Research, 29, 363–374. DOI logoGoogle Scholar
Häikiö, T., Bertram, R., Hyona, J., & Niemi, P.
(2009) Development of the letter identity span in reading: Evidence from the eye movement moving window paradigm. Journal of Experimental Child Psychology, 102, 167–181. DOI logoGoogle Scholar
Hargis, M. B., Yue, C. L., Kerr, T., Ikeda, K., Murayama, K., & Castel, A. D.
(2017) Metacognition and proofreading: The roles of aging, motivation, and interest. Aging, Neuropsychology, and Cognition, 24, 216–226. DOI logoGoogle Scholar
Harris, T. L., & Hodges, R. E.
(Eds.) (1995) The literacy dictionary: The vocabulary of reading and writing. Newark, Delaware: International Reading Association.Google Scholar
Hayler, M. M.
(2011) Incorporating technology: A phenomenological approach to the study of artefacts and the popular resistance to E-reading. Retrieved from Ethos database (ID uk.bl.ethos.566175)Google Scholar
Huang-Pollock, C. L., Nigg, J. T., & Halperin, J. M.
(2006) Single dissociation findings of ADHD deficits in vigilance but not anterior or posterior attention systems. Neuropsychology, 20, 420–429. DOI logoGoogle Scholar
Huey, E. B.
(1908) The psychology and pedagogy of reading and dyslexia. Proceedings of the National Academy of Sciences USA, 95, 8939–8944.Google Scholar
Iarocci, G., Enns, J. T., Randolph, B., & Burack, J. A.
(2009) The modulation of visual orienting reflexes across the lifespan. Developmental Science, 12, 715–724. DOI logoGoogle Scholar
Ishida, T., & Ikeda, M.
(1989) Temporal properties of information extraction in reading studies by a text-mask replacement technique. Journal of the Optical Society A: Optics and Image Sciences, 6, 1624–1632. DOI logoGoogle Scholar
Janjua, H.
(2016) Learning at your fingertips: Reading comprehension, mental workload, and attitudinal differences between computers and iPads (Unpublished doctoral thesis). Brandeis University, USA.
Jones, S., & Burnett, G. E.
(2007). Children’s navigation of hyperspace – Are spatial skills important? Proceedings of the Sixth IASTED International Conference on Web-Based Education, 643–648.Google Scholar
Just, M. A., & Carpenter, P. A.
(1987) The psychology of reading and language comprehension. Newton, MA: Allyn & Bacon.Google Scholar
(1992) A capacity theory of comprehension: Individual differences in working memory. Psychological Review, 99, 122–149. DOI logoGoogle Scholar
Kandel, E. R.
(2013) From nerve cells to cognition. The internal representations of space and action. In A. J. Kandel, E. R. Schwartz, J. H. Jessell, T. M. Siegelbaum, & A. J. Hudspeth (Eds.), Principles of neural science (5th ed., pp. 370–391). New York: McGraw-Hill Medical.Google Scholar
Kiili, C., Laurinen, L., & Marttunen, M.
(2008) Students evaluating internet sources: From versatile evaluators to uncritical readers. Journal of Educational Computing Research, 39, 75–95. DOI logoGoogle Scholar
Kiili, C., Laurinen, L., Marttunen, M., & Leu, D. J.
(2012) Working on understanding during collaborative online reading. Journal of Literacy Research, 44, 448–483. DOI logoGoogle Scholar
Kintsch, W.
(1988) The role of knowledge in discourse comprehension: A construction–integration model. Psychological Review, 95, 163–182. DOI logoGoogle Scholar
(1998) Comprehension: A paradigm for cognition. New York: Cambridge University Press.Google Scholar
Koriat, A.
(2007) Metacognition and consciousness. In P. D. Zelazo, M. Moscovitch, & E. Thompson (Eds.), Cambridge handbook of consciousness (pp. 289–325). New York: Cambridge University Press. DOI logoGoogle Scholar
Koriat, A., Ackerman, R., Adiv, S., Lockl, K., & Schneider, W.
(2014) The effects of goal-driven and data-driven regulation on metacognitive monitoring during learning: A developmental perspective. Journal of Experimental Psychology: General, 143, 386–403. DOI logoGoogle Scholar
Kornmann, J., Kammerer, Y., Anjewierden, A., Zettler, I., Trautwein, U., & Gerjets, P.
(2016) How children navigate a multiperspective hypermedia environment: The role of spatial working memory capacity. Computers in Human Behavior, 55, 145–158. DOI logoGoogle Scholar
Kratz, O., Studer, P., Malcherek, S., Erbe, K., Moll, G. H., & Heinrich, H.
(2011) Attentional processes in children with ADHD: An event-related potential study using the attention network test. International Journal of Psychophysiology, 81, 82–90. DOI logoGoogle Scholar
Kucer, S.
(2001) Dimensions of literacy. A conceptual base for teaching reading and writing in school settings. Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Lauterman, T., & Ackerman, R.
(2014) Overcoming screen inferiority in learning and calibration. Computers in Human Behavior, 35, 455–463. DOI logoGoogle Scholar
Leather, C. V., & Henry, L. A.
(1994) Working memory span and phonological awareness tasks as predictors of early reading ability. Journal of Experimental Child Psychology, 58, 88–111. DOI logoGoogle Scholar
Lehto, J. E., Juujärvi, P., Kooistra, L., & Pulkkinen, L.
(2003) Dimensions of executive functioning: Evidence from children. British Journal of Developmental Psychology, 21, 59–80. DOI logoGoogle Scholar
Leu, D. J., Jr., Kinzer, C. K., Coiro, J., & Cammack, D.
(2004) Toward a theory of new literacies emerging from the Internet and other information and communication technologies. In R. B. Ruddell & N. Unrau (Eds.), Theoretical models and processes of reading (5th ed., pp. 1568–1611). Newark, DE: International Reading Association.Google Scholar
Leu D. J., Kinzer, C. K., Coiro, J., Castek, J., & Henry, L. A.
(2013) New literacies and the new literacies of online reading comprehension: A dual level theory. In N. Unrau & D. Alvermann (Eds.), Theoretical models and process of reading (6th ed., pp. 1150–1181). Newark, DE: International Reading Association. DOI logoGoogle Scholar
Lezak, M. D., Howieson, D. B., & Loring, D. W.
(2004) Neuropsychological assessment (4th ed.). New York: Oxford University Press.Google Scholar
Linderholm, T., Virtue, S., Tzeng, Y., & van den Broek, P. W.
(2004) Fluctuations in the availability of information during reading: Capturing cognitive processes using the landscape model. Discourse Processes, 37, 165–186. DOI logoGoogle Scholar
Loh, K. K., & Kanai, R.
(2015) How has the Internet reshaped human cognition? The Neuroscientist, 22, 506–520. DOI logoGoogle Scholar
Mangen, A., Walgermo, B. R., & Brønnick, K.
(2013) Reading linear texts on paper versus computer screen: Effects on reading comprehension. International Journal of Educational Research, 58, 61–68. DOI logoGoogle Scholar
Martelli, M., Di Filippo, G., Spinelli, D., & Zoccolotti, P.
(2009) Crowding, reading, and developmental dyslexia. Journal of Vision, 9, 14.1–18. DOI logoGoogle Scholar
McNamara, D. S., & Magliano, J.
(2009) Toward a comprehensive model of comprehension. In B. Ross (Ed.), The psychology of learning and motivation (Vol. 51, pp. 297–384). Burlington: Academic Press. DOI logoGoogle Scholar
Metcalfe, J.
(2000) Metamemory: Theory and data. In E. Tulving & F. I. M. Craik (Eds.), The Oxford handbook of memory (pp. 197–211). London: Oxford University Press.Google Scholar
Metcalfe, J., & Finn, B.
(2008) Evidence that judgments of learning are causally related to study choice. Psychonomic Bulletin & Review, 15, 174–179. DOI logoGoogle Scholar
Mezzacappa, E.
(2004) Alerting, Orienting, and Executive Attention: Developmental properties and sociodemographic correlates in an epidemiological sample of young, urban children. Child Development, 75, 1373–1386. DOI logoGoogle Scholar
Minear, M., Brasher, F., McCurdy, M., Lewis, J., & Younggren, A.
(2013) Working memory, fluid intelligence, and impulsiveness in heavy media multitaskers. Psychonomic Bulletin & Review, 20, 1274–1281. DOI logoGoogle Scholar
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., & Howerter, A.
(2000) The unity and diversity of executive functions and their contributions to complex ‘front lobe’ tasks: A latent variable analysis. Cognitive Psychology, 41, 49–100. DOI logoGoogle Scholar
Moisala, M., Salmela, V., Hietajärvi, L., SaIo, E., Carlson, S., Salonen, O., Lonka, K., Salmela-Aro, K., & Alho K.
(2016) Media multitasking is associated with distractibility and increased prefrontal activity in adolescents and young adults. NeuroImage, 134, 113–121. DOI logoGoogle Scholar
Molin, L., & Lantz-Andersson, A.
(2016) Significant structuring resources in the reading practices of a digital classroom. Journal of Information Technology Education: Research, 15, 131–156. DOI logoGoogle Scholar
Montani, V., Facoetti, A., & Zorzi, M.
(2014) The effect of decreased interletter spacing on orthographic processing. Psychonomic Bulletin & Review, 22, 824–32. DOI logoGoogle Scholar
Moores, E., Cassim, R., & Talcott, J. B.
(2011) Adults with dyslexia exhibit large effects of crowding, increased dependence on cues, and detrimental effects of distractors in visual search tasks. Neuropsychologia, 49, 3881–3890. DOI logoGoogle Scholar
Morineau, T., Blanche, C., Tobin, L., & Guéguen, N.
(2005) The emergence of the contextual role of the e-book in cognitive processes through an ecological and functional analysis. International Journal of Human-Computer Studies, 62, 329–348. DOI logoGoogle Scholar
Mullane, J. C., Corkum, P. V, Klein, R. M., McLaughlin, E. N., & Lawrence, M. A.
(2011) Alerting, orienting, and executive attention in children with ADHD. Journal of Attention Disorders, 15, 310–320. DOI logoGoogle Scholar
Mullane, J. C., Lawrence, M. A., Corkum, P. V., Klein, R. M., & McLaughlin, E. N.
(2016) The development of and interaction among alerting, orienting, and executive attention in children. Child Neuropsychology: A Journal on Normal and Abnormal Development in Childhood and Adolescence, 7049, 1–22. DOI logoGoogle Scholar
Mustafa, Y. E. A., & Sharif, S. M.
(2011) An approach to adaptive e-learning hypermedia system based on learning styles (AEHS-LS): Implementation and evaluation. International Journal of Library and Information Science, 3, 15–28.Google Scholar
Naumann, J., Richter, T., Christmann, U., & Groeben, N.
(2008) Working memory capacity and reading skill moderate the effectiveness of strategy training in learning from hypertext. Learning and Individual Differences, 18, 197–213. DOI logoGoogle Scholar
Nelson, T. O., & Narens, L.
(1990) Metamemory: A theoretical framework and new findings. In G. Bower (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 26, pp. 125–173). San Diego, CA: Academic Press. DOI logoGoogle Scholar
Nichols, M.
(2016) Reading and studying on the screen: An overview of literature towards good learning design practice. Journal of Open, Flexible and Distance Learning, 20, 33.Google Scholar
Nobre, A. C., & Mesulam, M. M.
(2014) Large-scale networks for attentional biases. In A. C. Nobre & S. Kastner (Eds.), The Oxford handbook of attention (pp. 105–151). Oxford: Oxford University Press. DOI logoGoogle Scholar
Norman, E., & Furnes, B.
(2016) The relationship between metacognitive experiences and learning: Is there a difference between digital and non-digital study media? Computers in Human Behavior, 54, 301–309. DOI logoGoogle Scholar
Nouwens, S., Groen, M. A., & Verhoeven, L.
(2016) How storage and executive functions contribute to children’s reading comprehension. Learning and Individual Differences, 47, 96–102. DOI logoGoogle Scholar
O’Brien, B. A., Mansfield, J. S., & Legge, G. E.
(2005) The effect of print size on reading speed in dyslexia. Journal of Research in Reading, 28, 332–349. DOI logoGoogle Scholar
Ophir, E., Nass, C., & Wagner, A. D.
(2009) Cognitive control in media multitaskers. Proceedings of the National Academy of Sciences, 106, 15583–15587. DOI logoGoogle Scholar
Özyurt, Ö., & Özyurt, H.
(2015) Learning style based individualized adaptive e-learning environments: Content analysis of the articles published from 2005 to 2014. Computers in Human Behavior, 52, 349–358. DOI logoGoogle Scholar
Paris, S. G., & Oka, E.
(1986) Children’s reading strategies, metacognition and motivation. Developmental Review, 6, 25–86. DOI logoGoogle Scholar
Pasqualotti, L., & Baccino, T.
(2014) Online advertisement: How are visual strategies affected by the distance and the animation of banners? Frontiers in Psychology, 5, 211. DOI logoGoogle Scholar
Pazzaglia, F., Toso, C., & Cacciamani, S.
(2008) The specific involvement of verbal and visuospatial working memory in hypermedia learning. British Journal of Educational Technology, 39, 110–124. DOI logoGoogle Scholar
Pelli, D. G., Tillman, K. A., Freeman, J., Su, M., Berger, T. D., & Majaj, N. J.
(2007) Crowding and eccentricity determine reading rate. Journal of Vision, 7, 1–36. DOI logoGoogle Scholar
Perfetti, C.
(2007) Reading ability: Lexical quality to comprehension. Scientific Studies of Reading, 11, 357–383. DOI logoGoogle Scholar
Petrov, Y., & Meleshkevich, O.
(2011) Locus of spatial attention determines inward–outward anisotropy in crowding. Journal of Vision, 11, 1–11. DOI logoGoogle Scholar
Posner, M. I., & Rothbart, M. K.
(2007) Educating the human brain. Washington, D.C.: American Psychological Association. DOI logoGoogle Scholar
Posner, M. I., & Petersen, S. E.
(1990) The attention system of the human brain. Annual Review of Neuroscience, 13, 25–42. DOI logoGoogle Scholar
Posner, M. I., & DiGirolamo, G. J.
(1998) Executive attention: Conflict, target detection, and cognitive control. In R. Parasuraman (Ed.), The attentive brain (pp. 401–423). Cambridge, MA: MIT Press.Google Scholar
Rayner, K.
(1998) Eye movements in reading and information processing: 20 years of research, Psychological Bulletin, 85, 618–660. DOI logoGoogle Scholar
(2008) The role of computational models and experimental data in understanding eye movements during reading. International Journal of Psychology, 43, 189–190.Google Scholar
Reichle, E. D., Rayner, K., & Pollatsek, A.
(2003) The E-Z reader model of eye-movement control in reading: Comparisons to other models. The Behavioral and Brain Sciences, 26, 445–476. DOI logoGoogle Scholar
Reynolds, R. E.
(2000) Attentional resource emancipation: Toward understanding the interaction of word identification and comprehension processes in reading. Scientific Studies of Reading, 4, 169–195. DOI logoGoogle Scholar
Ridderinkhof, K. R., van der Molen, M. W., Band, G. P., & Bashore, T. R.
(1997) Sources of interference from irrelevant information: A developmental study. Journal of Experimental Child Psychology, 65, 315–341. DOI logoGoogle Scholar
Roeschl-Heils, A., Schneider, W., & van Kraayenoord, C. E.
(2003) Reading, metacognition and motivation: A follow-up study of German students in grades 7 and 8. European Journal of Psychology of Education, 18, 75–86. DOI logoGoogle Scholar
Rosenblatt, L.
(1978) The reader, the text, the poem: The transactional theory of the literary work. Carbondale, IL: Southern Illinois University Press.Google Scholar
Rouet, J.-F.
(2006) The skills of document use: From text comprehension to Web-based learning. Mahwah, NJ: Erlbaum.Google Scholar
Rueda, M. R., Fan, J., McCandliss, B. D., Halparin, J. D., Gruber, D. B., Lercari, L. P., & Posner, M. I.
(2004) Development of attentional networks in childhood. Neuropsychologia, 42, 1029–1040. DOI logoGoogle Scholar
Rueda, M. R., Posner, M. I., & Rothbart, M. K.
(2005) The development of executive function in Young Children: Contributions to the emergence of self-regulation. Developmental Neuropsychology, 28, 573–594. DOI logoGoogle Scholar
Salmerón, L., Cañas, J. J., Kintsch, W., & Fajardo, I.
(2005) Reading strategies and hypertext comprehension. Discourse Processes, 40, 171–191. DOI logoGoogle Scholar
Salmerón, L., & García, V.
(2012) Children’s reading in printed text and hypertext with navigation overviews: The role of comprehension, sustained attention and visuo-spatial abilities. Journal of Educational Computing Research, 47, 33–50. DOI logoGoogle Scholar
Salmerón, L., Kintsch, W., & Cañas, J. J.
(2006) Reading strategies and prior knowledge in learning with hypertext. Memory & Cognition, 34, 1157–1171. DOI logoGoogle Scholar
Samuels, S.
(2006) Toward a model of fluent reading. In S. Samuels & A. Farstrup (Eds.), What research has to say about reading instruction (3rd ed., pp. 24–46). Newark, DE: International Reading Association.Google Scholar
Schneps, M. H., O’Keeffe, J. K., Heffner-Wong, A., & Sonnert, G.
(2010) Using technology to support STEM reading. Journal of Special Education Technology, 25, 21–34. DOI logoGoogle Scholar
Schneps, M. H., Thomson, J. M., Chen, C., Sonnert, G., & Pomplun, M.
(2013a) E-Readers are more effective than paper for some with dyslexia. PLoS ONE, 8(9), e75634. DOI logoGoogle Scholar
Schneps, M. H., Thomson, J. M., Sonnert, G., Pomplun, M., Chen, C., & Heffner-Wong, A.
(2013b) Shorter lines facilitate reading in those who struggle. PLoS ONE, 8(8). DOI logoGoogle Scholar
Schumacher, G. M.
(1987) Executive control in studying. In B. K. Britton & S. M. Glynn (Eds.), Executive control processes in reading (pp. 107–144). UK: Routledge.Google Scholar
Seigneuric, A., Ehrlich, M-F., Oakhill, J. V., & Yuill, N. M.
(2000) Working memory resources and children’s reading comprehension. Reading and Writing, 13, 81–103. DOI logoGoogle Scholar
Selwyn, N.
(2015) Minding our language: Why education and technology is full of bullshit … and what might be done about it. Learning, Media and Technology, 1–7. DOI logoGoogle Scholar
Seok, S., & DaCosta, B.
(2016) Perceptions and preferences of digital and printed text and their role in predicting digital literacy. Asian Social Science, 12, 14–23. DOI logoGoogle Scholar
Sesma, H. W., Mahone, E. M., Levine, T., Eason, S. H., & Cutting, L. E.
(2009) The contribution of executive skills to reading comprehension. Child Neuropsychology, 15, 232–246. DOI logoGoogle Scholar
Shapiro, A. M., & Niederhauser, D.
(2004) Learning from hypertext: Research issues and findings. In D. H. Jonassen (Ed.), Handbook of research on educational communications and technology (2nd ed., pp. 605–620). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Sheese, B. E., Rothbart, M. K., Posner, M. I., White, L. K., & Fraundorf, S. H.
(2008) Executive attention and self-regulation in infancy. Infant Behavior and Development, 31, 501–510. DOI logoGoogle Scholar
Shonfeld, M., & Meishar-Tal, H.
(2016) Writing and reading preferences for student learning in a paperless classroom. In Society for Information Technology & Teacher Education International Conference (Vol. 2016, No. 1, pp. 787–792).
Shute, V., & Towle, B.
(2003) Adaptive e-learning. Educational Psychologist, 38, 105–114. DOI logoGoogle Scholar
Sidi, Y., Ophir, Y., & Ackerman, R.
(2016) Generalizing screen inferiority – does the medium, screen versus paper, affect performance even with brief tasks? Metacognition and Learning, 11, 15–33. DOI logoGoogle Scholar
Sidi, Y., Shpigelman, M., Zalmanov, H., & Ackerman, R.
2017). Understanding metacognitive inferiority on screen by exposing cues for depth of processing. Learning and Instruction, 51, 61–73. DOI logo
Simola, J., Hyönä, J., & Kuisma, J.
(2014) Perception of visual advertising in different media: From attention to distraction, persuasion, preference and memory. Frontiers in Psychology, 5, 1208. DOI logoGoogle Scholar
Simonds, J., Kieras, J. E., Rueda, M. R., & Rothbart, M. K.
(2007) Effortful control, executive attention, and emotional regulation in 7–10-year-old children. Cognitive Development, 22, 474–488. DOI logoGoogle Scholar
Small, G. W., Moody, T. D., Siddarth, P., & Bookheimer, S. Y.
(2009) Your brain on google: Patterns of cerebral activation during internet searching. American Journal of Geriatric Psychiatry, 17, 116–126. DOI logoGoogle Scholar
Sobeh, J., & Spijkers, W.
(2012) Development of attention functions in 5- to 11-year-old Arab children as measured by the German Test Battery of Attention Performance (KITAP): A pilot study from Syria. Child Neuropsychology, 18, 144–167. DOI logoGoogle Scholar
Spinelli, D., De Luca, M., Judica, A., & Zoccolotti, P.
(2002) Crowding effects on word identification in developmental dyslexia. Cortex, 38, 179–200. DOI logoGoogle Scholar
Stanovich, K. E.
(1990) Concepts in developmental theories of reading skill: Cognitive resources, automaticity, and modularity. Developmental Review, 10, 72–100. DOI logoGoogle Scholar
Stern, P., & Shalev, L.
(2013) The role of sustained attention and display medium in reading comprehension among adolescents with ADHD and without it. Research in Developmental Disabilities, 34, 431–439. DOI logoGoogle Scholar
Thiede, K. W., Anderson, M. C. M., & Therriault, D.
(2003) Accuracy of metacognitive monitoring affects learning of texts. Journal of Educational Psychology, 95, 66–73. DOI logoGoogle Scholar
Tzeng, Y., van den Broek, P., Kendeou, P., & Lee, C.
(2005) The computational implementation of the landscape model: Modeling inferential processes and memory representations of text comprehension. Behavioral Research Methods, Instruments, and Computers, 37, 277–286. DOI logoGoogle Scholar
van den Broek, P., Rapp, D. N., & Kendeou, P.
(2005) Integrating memory-based and constructionist approaches in accounts of reading comprehension. Discourse Processes, 39, 299–316. DOI logoGoogle Scholar
van den Broek, P. W., Young, M., Tzeng, Y., & Linderholm, T.
(1999) The landscape model of reading: Inferences and the on-line construction of a memory representation. In H. van Oostendorp & S. R. Goldman (Eds.), The construction of mental representations during reading (pp. 71–98). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.Google Scholar
van der Molen, M. W.
(2000) Developmental changes in inhibitory processing: Evidence from psychophysiological measures. Biological Psychology, 54, 207–239. DOI logoGoogle Scholar
van Horne, S., Russell, J., & Schuh, K. L.
(2016) The adoption of mark-up tools in an interactive e-textbook reader. Educational Technology Research & Development, 64, 407–433. DOI logoGoogle Scholar
Vellutino, F. R., Scanlon, D. M., & Lyon, G. R.
(2000) Differentiating between difficult-to-remediate and readily remediated poor readers: More evidence against the IQ–achievement discrepancy definition of reading disability. Journal of Learning Disabilities, 33, 223–238. DOI logoGoogle Scholar
Vössing, J., & Stamov-Roßnagel, C.
(2016) Boosting metacomprehension accuracy in computer-supported learning: The role of judgment task and judgment scope. Computers in Human Behavior, 54, 73–82. DOI logoGoogle Scholar
Wager, T. D., Jonides, J., & Reading, S.
(2004) Neuroimaging studies of shifting attention: a meta-analysis. Neuroimage, 4, 1679–93. DOI logoGoogle Scholar
Wainwright, A., & Bryson, S. E.
(2002) The development of exogenous orienting: Mechanisms of control. Journal of Experimental Child Psychology, 82, 141–155. DOI logoGoogle Scholar
Walcyzk, J.
(1995) Testing a compensatory-encoding model. Reading Research Quarterly, 30, 396–408. DOI logoGoogle Scholar
(2000) The interplay between automatic and control processes in reading. Reading Research Quarterly, 35, 554–566. DOI logoGoogle Scholar
Warschauer, M., Park, Y., & Walker, R.
(2011) Transforming digital reading with visual-syntactic text formatting. JALT CALL Journal, 7, 255–270.Google Scholar
Weatherholt, T. N., Harris, R. C., Burns, B. M., & Clement, C.
(2006) Analysis of attention and analogical reasoning in children of poverty. Journal of Applied Developmental Psychology, 27, 125–135. DOI logoGoogle Scholar
Winne, P. H., Hadwin, A. F., & Perry, N. E.
(2013) Metacognition and computer-supported collaborative learning. In C. E. Hmelo-Silver, C. A. Chinn, C. K. Chan, & A. M. O’Donnell (Eds.), The International handbook of collaborative learning (pp. 462–479). New York, NY: Routledge.Google Scholar
Wolverton G. S., & Zola, D.
(1983) The temporal characteristics of visual information extraction during reading. In K. Rayner (Ed.), Eye movements in reading: Perceptual and language processes. New York: Academic Press. DOI logoGoogle Scholar
Wylie, J., & McGuinness, C.
(2004) The interactive effects of prior knowledge and text structure on memory for cognitive psychology texts. British Journal of Educational Psychology, 74, 497–514. DOI logoGoogle Scholar
Yang, C. C., Hwang, G. J., Hung, C. M., & Tseng, S. S.
(2013) An evaluation of the learning effectiveness of concept map-based science book reading via mobile devices. Educational Technology & Society, 16, 167–178.Google Scholar
Zorzi, M., Barbiero, C., Facoetti, A., Lonciari, I., Carrozzi, M., Montico, M., et al.
(2012) Extra-large letter spacing improves reading in dyslexia. Proceedings of the National Academy of Sciences, 109, 11455–11459. DOI logoGoogle Scholar
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