Abadzi, H. (2008). Efficient learning for the poor: New insights into literacy acquisition for children. International Review of Education, 54(56), 581–604.
Article
Google Scholar
Abadzi, H. (2012). Can adults become fluent in newly learned scripts? Education Research International. doi:10.1155/2012/710785.
Google Scholar
Abadzi, H. (2013). Literacy for All in 100 days? A research-based strategy for fast progress in low-income countries. Global Partnership for Education Working Paper Series 7. Washington, DC: World Bank.
Aguirre, G. (2004). Perceptual learning and consolidation studied with perfusion fMRI. Dana Foundation. http://www.dana.org/Media/GrantsDetails.aspx?id=38965#sthash.MAeAGIfw.dpuf.
Alloway, T. P., & Alloway, R. (2013). The working memory advantage. New York, NY: Simon & Schuster.
Google Scholar
Ansari, D., & Coch, D. (2006). Bridges over troubled waters: Education and cognitive neuroscience. Trends in Cognitive Sciences, 10(4), 146–151.
Article
Google Scholar
August, D., Carlo, M., Calderón, M., & Proctor, P. (2005). Development of literacy in Spanish-speaking English-language learners: Findings from a longitudinal study of elementary school children. Perspectives, 31(2), 17–19.
Google Scholar
Baddeley, A. (2003). Working memory and language: An overview. Journal of Communication Disorders, 36(3), 189–208.
Article
Google Scholar
Bahrick, H. P., & Hall, L. K. (2005). The importance of retrieval failures to long-term retention: A metacognitive explanation of the spacing effect. Journal of Memory and Language, 52(4), 566–577.
Article
Google Scholar
Bouhali, F., Thiebaut de Schotten, M., Pinel, P., Poupon, C., Mangin, J.-F., Dehaene, S., et al. (2014). Anatomical connections of the visual word form area. The Journal of Neuroscience, 34(46), 15402–15414.
Article
Google Scholar
Bower, B. (2015). Trackers decipher ancient footprints: Hunters help reconstruct behavior of early Europeans. Science News, 188(8–9), 11.
Google Scholar
Cappelletti, M., Leff, A. P., & Price, C. J. (2012). How number processing survives left occipito-temporal damage. Neurocase, 18(4), 271–285.
Article
Google Scholar
Chabbott, C. (2014). Institutionalizing health and education for all: Global goals, innovations, and scaling up. New York, NY: Teachers College Press.
Google Scholar
Chang, L. Y., Plaut, D. C., & Perfetti, C. A. (2016). Visual complexity in orthographic learning across writing system variations. Scientific Studies of Reading, 20(1), 64–85.
Article
Google Scholar
Coyne, G. (2015). Language education policies and inequality in Africa: Cross-national empirical evidence. Comparative Education Review, 59(4), 619–637.
Article
Google Scholar
Cribiore, R. (1996). Writing, teachers, and students in Greco-Roman Egypt. American Society of Papyrologists. Atlanta, GA: Scholars Press.
Czigler, I. N. (2010a). Conscious and unconscious aspects of working memory. In I. Czigler & I. Winkler (Eds.), Unconscious memory representations in perception (p. 5). Amsterdam: John Benjamins.
Chapter
Google Scholar
Czigler, I. N. (2010b). Representation of regularities in visual stimulation. In I. Czigler & I. Winkler (Eds.), Unconscious memory representations in perception (pp. 107–131). Amsterdam: John Benjamins.
Chapter
Google Scholar
Dehaene, S., & Cohen, L. (2007). Cultural recycling of cortical maps. Neuron, 56, 384–398.
Article
Google Scholar
Dehaene, S., & Cohen, L. (2011). The unique role of the visual word form area in reading. Trends in Cognitive Sciences, 15(6), 254–262.
Article
Google Scholar
Dekker, L. (2015). The neural localization of musical score reading. Master’s thesis, Utrecht University, Medical Center, Utrecht.
Devlin, K. (2010). The mathematical brain. In D. De Souza (Ed.), Mind, brain, and education. Bloomington, IN: Solution Tree Press.
Google Scholar
Dufau, S., Grainger, J., Midgley, K., & Holcomb, P. J. (2015). A thousand words are worth a picture: Snapshots of printed-word processing in an event-related potential megastudy. Psychological Science, 26(12), 1887–1897.
Article
Google Scholar
Feldon, D. F. (2007). Cognitive load and classroom teaching: The double-edged sword of automaticity. Educational Psychologist, 42(3), 123–137.
Article
Google Scholar
Gori, S., & Facoetti, A. (2014). Perceptual learning as a possible new approach for remediation and prevention of developmental dyslexia. Vision Research, 99(1), 78–87.
Article
Google Scholar
Guastello, S. J., Boeh, H., Shumaker, C., & Shimmels, M. (2012). Catastrophe models for cognitive workload and fatigue. Theoretical Issues in Ergonomic Sciences, 13, 586–602.
Article
Google Scholar
Gupta, P., Lipinski, J., Abbs, B., & Lin, P.-H. (2005). Serial position effects in nonword repetition. Journal of Memory and Language, 53, 141–162.
Article
Google Scholar
Harris, M., & Hatano, G. (1999). Introduction: A cross-linguistic perspective on learning to read and write. In M. Harris & G. Hatano (Eds.), Learning to read and write: A cross-linguistic perspective (pp. 51–70). Cambridge: Cambridge University Press.
Google Scholar
Hart, B., & Risley, T. R. (1995). Meaningful differences in the everyday experiences of young American children. Baltimore, MD: Paul Brookes.
Google Scholar
Hartley, M. J., & Swanson, V. E. (1986). Retention of basic skills among dropouts from Egyptian primary schools. Working paper series report EDT40. Washington, DC: World Bank.
Iyengar, R., Karim, A., & Chagwira-Betha, F. (2016). Applying a reading program based on cognitive science in rural areas of Malawi: Preliminary results. Journal of Education and Training Studies, 4(5).
Kahneman, D. (2011). Thinking fast and slow. New York, NY: Farrar, Strauss, & Giroux.
Google Scholar
Keenan, J. M., Betjemann, R. S., & Olson, R. K. (2008). Reading comprehension tests vary in the skills they assess: Differential dependence on decoding and oral comprehension. Scientific Studies of Reading, 12(3), 281–300. doi:10.1080/10888430802132279.
Article
Google Scholar
Kim, Y. S. G., Boyle, H. N., Zuilkowski, S. S., & Nakamura, P. (2016). Landscape report on early grade literacy. Washington, DC: USAID.
Google Scholar
Kumano, H., & Uka, T. (2013). Neuronal mechanisms of visual perceptual learning. Behavioural Brain Research, 249, 75–80.
Article
Google Scholar
Ledesma, H. M. L., & Morris, R. D. (2005). Patterns of language preference among bilingual (Filipino-English) boys. International Journal of Bilingual Education and Bilingualism, 8(1), 62–80.
Article
Google Scholar
Lipina, S. J., & Posner, M. I. (2012). The impact of poverty on the development of brain networks. Frontiers in Human Neuroscience, 6, 1–12.
Article
Google Scholar
Marinelli, C. V., Martelli, M. L., Praphamontripong, P., Zoccolotti, P., & Abadzi, H. (2013). Visual and linguistic factors in literacy acquisition: Instructional implications for beginning readers in low-income countries. Global Partnership for Education Working Paper Series on Learning 2. Washington, DC: World Bank.
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97.
Article
Google Scholar
Ministère de l’Education Nationale (2006). Lecture CP1. Abidjan, Côte Ivoire: Editions Burnie.
Google Scholar
Mizuno, K., Tanaka, M., Yamaguti, K., Kajimoto, O., Kuratsune, H., & Watanabe, Y. (2011). Mental fatigue caused by prolonged cognitive load associated with sympathetic hyperactivity. Behavioral and Brain Functions, 7(17). Article 9158.
Moore, A. M., Gove, A., & Tietjen, K. (2016). Great expectations: A framework for assessing and understanding key factors affecting student learning of foundational reading skills. In P. McCardle, A. Mora, & A. Gove (Eds.), Progress toward a literate world: Early reading interventions in low-income countries. New Directions for Child and Adolescent Development. Washington, DC: Josey-Bass.
NICHD [National Institute of Child Health and Human Development] (2000). Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction—Reports of the subgroups. Report of the National Reading Panel. Publication 00-4754. Washington, DC: U.S. Government Printing Office.
Ouane, A., & Glanz, C. (Eds.) (2006). Optimizing learning and education in Africa: The language factor—A stock-taking research on mother tongue and bilingual education in sub-Saharan Africa. ADEA 2006 Biennial Meeting, Libreville, Gabon (March 27–31).
Pegado, F., Comerlato, E., Ventura, F., Jobert, A., Nakamura, K., Buiatti, M., et al. (2014). Timing the impact of literacy on visual processing. Proceedings of the National Academy of Sciences, 111(49), E5233–E5242.
Article
Google Scholar
Pelli, D. G., Burns, C., Farell, B., & Moore-Page, D. C. (2006). Feature detection and letter identification. Vision Research, 46(28), 4646–4674.
Article
Google Scholar
Perfetti, C., Cao, F., & Booth, J. (2013). Specialization and universals in the development of reading skill: How Chinese research informs a universal science of reading. Scientific Studies of Reading, 17(1), 5–21.
Article
Google Scholar
Peterson, L. R., & Peterson, M. J. (1959). Short-term retention of individual verbal items. Journal of Experimental Psychology, 58, 193–198.
Article
Google Scholar
Pritchard, S. C., Colheart, M., Marinus, E., & Castles, A. (2016). Modelling the implicit learning of phonological decoding from training on whole-word spellings and pronunciations. Scientific Studies of Reading, 20(1), 49–63.
Article
Google Scholar
Rhodes, R. (2015). Reading reform at scale: The case of the 3.5 years of the Mali/PHARE program, August, 2008–March, 2012. Paper presented at the Comparative and International Education Conference, Washington, DC (March 8–15).
Rock, I., & Gutman, D. (1981). The effect of inattention on form perception. Journal of Experimental Psychology: Human Perception & Performance, 7, 275–285.
Google Scholar
Royer, M., Abadzi, H., & Kinda, J. (2004). The impact of phonological-awareness and rapid-reading training on the reading skills of adolescent and adult neoliterates. International Review of Education, 50(1), 53–71.
Article
Google Scholar
RTI [Research Triangle Institute] (2014a). 2014 Endline report of Early Grade Reading Assessment (EGRA) and Early Grade Mathematics Assessment (EGMA). DRC; Projet d’Amélioration de la Qualité de l’Education (PAQUED). www.eddataglobal.com.
RTI [Research Triangle Institute] (2014b). Indonesia: The National Early Grade Reading Assessment (EGRA) and Snapshot of School Management Effectiveness (SSME) survey report of findings. Eddata II Technical and Managerial Assistance, Task Number 23, Contract Number AID-497-BC-13-00009, Strategic Objective (3 June).
Seymour, P., Aro, H. K. M., & Erkskine, J. M. (2003). Foundation literacy acquisition in European orthographies. British Journal of Psychology, 94(2), 143–174.
Article
Google Scholar
Share, D. L. (1995). Phonological recoding and self-teaching: Sine qua non of reading acquisition. Cognition, 55, 151–218.
Article
Google Scholar
Share, D. L. (2008). On the Anglocentricities of current reading research and practice: The perils of overreliance on an “outlier” orthography. Psychological Bulletin, 134, 584–615.
Article
Google Scholar
Simmons, J. P., Nelson, L. D., & Simonsjohn, U. (2011). False-positive psychology undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22(11), 1359–1366.
Article
Google Scholar
Simons, D. J., & Chabris, C. F. (2011). What people believe about how memory works: A representative survey of the U.S. population. PLoS ONE, 6(8), e22757.
Article
Google Scholar
Speelman, C., & Kirsner, K. (2005). Beyond the learning curve: The construction of mind. New York, NY: Oxford University Press.
Book
Google Scholar
Thomas, M. S. C., & Knowland, V. (2009). Sensitive periods in brain development: Implications for education policy. European Psychiatric Review, 2(1), 17–20.
Google Scholar
UNESCO (2015). Education for All 2000-2015: Achievements and challenges. Education for All Global Monitoring Report. Paris: UNESCO.
USAID (2011). Education opportunity through learning: USAID education strategy. http://pdf.usaid.gov/pdf_docs/Pdacq946.pdf.
van Orden, G. C. (1987). A ROWS is a ROSE: Spelling, sound, and reading. Memory and Cognition, 15(3), 181–198.
Article
Google Scholar
van Orden, G. C., Pennington, B. F., & Stone, G. O. (2001). What do double dissociations prove? Cognitive Science, 25(1), 111–172.
Article
Google Scholar
Warrington, E., & Weiskrantz, L. (1982). Amnesia: A disconnection syndrome? Neuropsychologia, 20, 233–248.
Article
Google Scholar
Winthrop, R., & McGivney, E. (2015). Why wait 100 years? Bridging the gap in global education. Washington, DC: Brookings Institution.
Google Scholar
World Bank (2015). World development report. Washington, DC: World Bank.
Book
Google Scholar
Wymbs, N. F., Bastian, A. J., & Celnik, P. A. (2016). Motor skills are strengthened through reconsolidation. Current Biology, 26(3), 338–343.
Article
Google Scholar
Zafeirakou, A. (2014). Going to scale with literacy programs: Evidence-based practices from the Gambia. GPE Working Paper Series on Learning. Washington DC: World Bank.
Ziegler, J. C., Perry, C., & Zorzi, M. (2014). Modelling reading development through phonological decoding and self-teaching: Implications for dyslexia. Philosophical Transactions of the Royal Society B, 369(1634), 20120397.
Article
Google Scholar
Zoccolotti, P., De Luca, M., Di Pace, E., Gasperini, F., Judica, A., & Spinelli, D. (2005). Word length effect in early reading and in developmental dyslexia. Brain and Language, 93(3), 369–373.
Article
Google Scholar