Testing the Effects of GraphoGame Against a Computer-Assisted Math Intervention in Primary School

References

• Brem, S., Bach, S., Kucian, K., Guttorm, T. K., Martin, E., Lyytinen, H., … Richardson, U. (2010). Brain sensitivity to print emerges when children learn letter-speech sound correspondences. Proceedings of the National Academy of Sciences, 107(17), 7939–7944. https://doi.org/10.1073/pnas.0904402107
   PubMed Web of Science ®Google Scholar
• Campuzano, L., Dynarski, M., Agodini, R., & Rall, K. (2009). Effectiveness of Reading and Mathematics Software Products: Findings From Two Student Cohorts. NCEE 2009-4041. National Center for Education Evaluation and Regional Assistance.
   Google Scholar
• Carvalhais, L., Richardson, U., & Castro, S. L. (2018). Computer-assisted reading and spelling intervention with Graphogame fluent Portuguese. In Á. Rocha, H. Adeli, L. Reis, & S. Costanzo (Eds.), Trends and advances in information systems and technologies. WorldCIST’18 2018. Advances in intelligent systems and computing (Vol. 746). Springer. pp. 1452–1460.
   Google Scholar
• Castles, A., Rastle, K., & Nation, K. (2018). Ending the reading wars: Reading acquisition from novice to expert. Psychological Science in the Public Interest, 19(1), 5–51. https://doi.org/10.1177/1529100618772271
   PubMed Web of Science ®Google Scholar
• Cheung, A. C. K., & Slavin, R. E. (2013). The effectiveness of educational technology applications for enhancing mathematics achievement in K-12 classrooms: A meta-analysis. Educational Research Review, 9(1), 88–113. https://doi.org/10.1016/j.edurev.2013.01.001
   Web of Science ®Google Scholar
• Dehaene, S. (2011). Apprendre à lire: Des sciences cognitives à la salle de classe. Odile Jacob.
   Google Scholar
• Dotan, D., Dehaene, S., Huron, C., & Piazza, M. (2011). The number catcher. http://www.thenumbercatcher.com/nc/home.php
   Google Scholar
• Dynarski, M., Agodini, R., Heaviside, S., Novak, T., Carey, N., Campuzano, L.,andSussex, W. (2007). Effectiveness of reading and mathematics software products: Findings from the first student cohort. Research Report - Report Number NCEE 2007-4005. Washington, DC: U.S. Department of Education. https://telearn.archives-ouvertes.fr/hal-00190019
   Google Scholar
• Ecalle, J. (2003). Timé-2: Test d’identification de mots écrits pour enfants de 6 à 8 ans. Edition du Centre de Psychologie Appliquée.
   Google Scholar
• Ehri, L. C. (1992). Reconceptualizing the development of sight word reading and its relationship to recoding. In P. B. Gough, L. E. Ehri, & R. Treiman (Eds.), Reading acquisition (pp. 105–143). LEA.
   Google Scholar
• Fluss, J., Ziegler, J., Ecalle, J., Magnan, A., Warszawski, J., Ducot, B., … Billard, C. (2008). Prevalence of reading disabilities in early elementary school: Impact of socioeconomic environment on reading development in 3 different educational zones. Archives de Pédiatrie, 15(6), 1049–1057. https://doi.org/10.1016/j.arcped.2008.02.012
   PubMed Web of Science ®Google Scholar
• Fluss, J., Ziegler, J. C., Warszawski, J., Ducot, B., Richard, G., & Billard, C. (2009). Poor reading in French elementary school: The interplay of cognitive, behavioral, and socioeconomic factors. Journal of Developmental and Behavioral Pediatrics, 30(3), 206–216. https://doi.org/10.1097/DBP.0b013e3181a7ed6c
   PubMed Web of Science ®Google Scholar
• Foorman, B. R., Breier, J. I., & Fletcher, J. M. (2003). Interventions aimed at improving reading success: An evidence-based approach. Developmental Neuropsychology, 24(2–3), 613–639. https://doi.org/10.1207/S15326942dn242&3_06
   PubMed Web of Science ®Google Scholar
• Foorman, B. R., & Torgesen, J. (2001). Critical elements of classroom and small-group instruction promote reading success in all children. Learning Disabilities Research & Practice, 16(4), 203–212. https://doi.org/10.1111/0938-8982.00020
   Google Scholar
• Gentaz, E., Sprenger-Charolles, L., Theurel, A., & Colé, P. (2013). Reading comprehension in a large cohort of French first graders from low socio-economic status families: A 7-month longitudinal study. PLoS ONE, 8(11), e78608. https://doi.org/10.1371/journal.pone.0078608
   PubMed Web of Science ®Google Scholar
• Goswami, U. (2002). Phonology, reading development and dyslexia: A cross-linguistic perspective. Annals of Dyslexia, 52(1), 141–163. https://doi.org/10.1007/s11881-002-0010-0
   Google Scholar
• Heck, R., Thomas, S., & Tabata, L. (2009). An introduction to multilevel modeling techniques (Quantitative methodology series). New York: Routledge.
   Google Scholar
• Holloway, I. D., & Ansari, D. (2008). Domain-specific and domain-general changes in children’s development of number comparison. Developmental Science, 11(5), 644–649. https://doi.org/10.1111/j.1467-7687.2008.00712.x
   PubMed Web of Science ®Google Scholar
• Huemer, S., Landerl, K., Aro, M., & Lyytinen, H. (2008). Training reading fluency among poor readers of German: Many ways to the goal. Annals of Dyslexia, 58(2), 115–137. https://doi.org/10.1007/s11881-008-0017-2
   PubMed Web of Science ®Google Scholar
• Hulme, C., Bowyer-Crane, C., Carroll, J. M., Duff, F. J., & Snowling, M. J. (2012). The causal role of phoneme awareness and letter-sound knowledge in learning to read: Combining intervention studies with mediation analyses. Psychological Science, 23(6), 572–577. https://doi.org/10.1177/0956797611435921
   PubMed Web of Science ®Google Scholar
• Hulme, C., Snowling, M. J., West, G., Lervåg, A., & Melby-Lervåg, M. (2020). Children’s language skills can be improved: Lessons from psychological science for educational policy. Current Directions in Psychological Science, 29(4), 372–377. https://doi.org/10.1177/0963721420923684
   Web of Science ®Google Scholar
• Javourey-Drevet, L., Dufau, S., François, T., Gala, N., Ginestié, J., & Ziegler, J. (2022). Simplification of literary and scientific texts to improve reading fluency and comprehension in beginning readers of French. Applied Psycholinguistics, 43(2), 485–512. https://doi.org/10.1017/S014271642100062X
   Web of Science ®Google Scholar
• Kyle, F., Kujala, J., Richardson, U., Lyytinen, H., & Goswami, U. (2013). Assessing the effectiveness of two theoretically motivated computer-assisted reading interventions in the United Kingdom: GG rime and GG Phoneme. Reading Research Quarterly, 48(1), 61–76. https://doi.org/10.1002/rrq.038
   Web of Science ®Google Scholar
• Landerl, K., Ramus, F., Moll, K., Lyytinen, H., Leppanen, P. H., Lohvansuu, K., … Schulte-Korne, G. (2013). Predictors of developmental dyslexia in European orthographies with varying complexity. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 54(6), 686–694. https://doi.org/10.1111/jcpp.12029
   PubMed Web of Science ®Google Scholar
• Lassault, J. (2021). Le numérique comme outils pédagogique pour l’apprentissage de la lecture et des mathématiques: Du laboratoire à la salle de classe [Digital tools to improve reading and math: From the laboratory to the classroom]. Aix-Marseille University.
   Google Scholar
• Lassault, J., & Ziegler, J. C. (2018). Les outils numériques d’aide à l’apprentissage de la lecture. Langue Francaise, 119, 111–121. https://doi.org/10.3917/lf.199.0111.
   Google Scholar
• Lefavrais, J. (2005). Test de l’Alouette (revised version). ECPA.
   Google Scholar
• Lété, B., Sprenger-Charolles, L., & Colé, P. (2004). MANULEX: A grade-level lexical database from French elementary school readers. Behavior Research Methods, Instruments and Computers, 36(1), 156–166. https://doi.org/10.3758/BF03195560
   PubMedGoogle Scholar
• Loeb, S., Bridges, M., Bassok, D., Fuller, B., & Rumberger, R. W. (2007). How much is too much? The influence of preschool centers on children's social and cognitive development. Economics of Education Review, 26(1), 52–66. https://doi.org/10.1016/j.econedurev.2005.11.005
   Web of Science ®Google Scholar
• Lorah, J. (2018). Effect size measures for multilevel models: definition, interpretation, and TIMSS example. Large-scale Assessments in Education, 6(1), 8. https://doi.org/10.1186/s40536-018-0061-2
   Web of Science ®Google Scholar
• Lyytinen, H., Erskine, J., Hamalainen, J., Torppa, M., & Ronimus, M. (2015). Dyslexia-early identification and prevention: Highlights from the Jyvaskyla longitudinal study of dyslexia. Current Developmental Disorders Reports, 2(4), 330–338. https://doi.org/10.1007/s40474-015-0067-1
   PubMedGoogle Scholar
• Lyytinen, H., Erskine, J., Kujala, J., Ojanen, E., & Richardson, U. (2009). In search of a science-based application: A learning tool for reading acquisition. Scandinavian Journal of Psychology, 50(6), 668–675. https://doi.org/10.1111/j.1467-9450.2009.00791.x
   PubMed Web of Science ®Google Scholar
• McTigue, E. M., Solheim, O. J., Zimmer, W. K., & Uppstad, P. H. (2020). Critically reviewing GraphoGame across the world: Recommendations and cautions for research and implementation of computer-assisted instruction for word-reading acquisition. Reading Research Quarterly, 55(1), 45–73. https://doi.org/10.1002/rrq.256
   Web of Science ®Google Scholar
• OECD. (2019) . PISA 2018 results (volume I): What students know and can do.
   Google Scholar
• Peereman, R., & Sprenger-Charolles, L. (2018). Manulex-MorphO, une base de données sur l’orthographe du français intégrant les morpho-phonogrammes. Langue Française, 199(3), 99–109. https://doi.org/10.3917/lf.199.0099
   Google Scholar
• Perfetti, C. A., Beck, I., Bell, L. C., & Hughes, C. (1987). Phonemic knowledge and learning to read are reciprocal - a longitudinal-study of 1st-grade children. Merrill-Palmer Quarterly-Journal of Developmental Psychology, 33(3), 283–319.
   Web of Science ®Google Scholar
• Perry, C., Zorzi, M., & Ziegler, J. C. (2019). Understanding dyslexia through personalized large-scale computational models. Psychological Science, 30(3), 386–395. https://doi.org/10.1177/0956797618823540
   PubMed Web of Science ®Google Scholar
• Piquard-Kipffer, A., Cavadini, T., Sprenger-Charolles, L., & Gentaz, É. (2021). Impact of lip-reading on speech perception in French-speaking children at risk for reading failure assessed from age 5 to 7. Année Psychologique/Topics in Cognitive Psychology, 121(2), 3–18. https://doi.org/10.3917/anpsy1.212.0003
   Web of Science ®Google Scholar
• Potier Watkins, C., Caporal, J., Merville, C., Kouider, S., & Dehaene, S. (2020). Accelerating reading acquisition and boosting comprehension with a cognitive science-based tablet training. Journal of Computers in Education, 7(2), 183–212. https://doi.org/10.1007/s40692-019-00152-6
   Web of Science ®Google Scholar
• Rayner, K., Foorman, B. R., Perfetti, C. A., Pesetsky, D., & Seidenberg, M. S. (2001). How psychological science informs the teaching of reading. Psychological Science, 2(2 Suppl), 31–74. https://doi.org/10.1111/1529-1006.00004
   PubMedGoogle Scholar
• Richardson, U., & Lyytinen, H. (2014). The Graphogame method: The theoretical and methodological background of the technology-enhanced learning environment for learning to read. Human Technology, 10(1), 39–60. https://doi.org/10.17011/ht/urn.201405281859
   Google Scholar
• Ronimus, M., Kujala, J., Tolvanen, A., & Lyytinen, H. (2014). Children’s engagement during digital game-based learning of reading: The effects of time, rewards, and challenge. Computers & Education, 71(2), 237–246. https://doi.org/10.1016/j.compedu.2013.10.008
   Web of Science ®Google Scholar
• Ronimus, M., & Lyytinen, H. (2015). Is school a better environment than home for digital game-based learning? The case of graphogame. Human Technology: An Interdisciplinary Journal on Humans in ICT Environments, 11(2), 123–147. https://doi.org/10.17011/ht/urn.201511113637
   Google Scholar
• Rosas, R., Escobar, J.-P., Ramírez, M.-P., Meneses, A., & Guajardo, A. (2017). Impact of a computer-based intervention in Chilean children at risk of manifesting reading difficulties/Impacto de una intervención basada en ordenador en niños chilenos con riesgo de manifestar dificultades lectoras. Journal for the Study of Education and Development, 40(1), 158–188. https://doi.org/10.1080/02103702.2016.1263451
   Google Scholar
• Saine, N. L., Lerkkanen, M.-K., Ahonen, T., Tolvanen, A., & Lyytinen, H. (2010). Predicting word-level reading fluency outcomes in three contrastive groups: Remedial and computer-assisted remedial reading intervention, and mainstream instruction. Learning and Individual Differences, 20(5), 402–414. https://doi.org/10.1016/j.lindif.2010.06.004
   Web of Science ®Google Scholar
• Saine, N. L., Lerkkanen, M.-K., Ahonen, T., Tolvanen, A., & Lyytinen, H. (2011). Computer-assisted remedial reading intervention for school beginners at risk for reading disability. Child development, 82(3), 1013–1028. https://doi.org/10.1111/j.1467-8624.2011.01580.x
   PubMed Web of Science ®Google Scholar
• Sanders, W. L., Wright, S. P., & Horn, S. P. (1997). Teacher and classroom context effects on student achievement: Implications for teacher evaluation. Journal of Personnel Evaluation in Education, 11(1), 57–67. https://doi.org/10.1023/A:1007999204543
   Google Scholar
• Sasanguie, D., Göbel, S. M., Moll, K., Smets, K., & Reynvoet, B. (2013). Approximate number sense, symbolic number processing, or number–space mappings: What underlies mathematics achievement? Journal of Experimental Child Psychology, 114(3), 418–431. https://doi.org/10.1016/j.jecp.2012.10.012
   PubMed Web of Science ®Google Scholar
• Share, D. L. (1995). Phonological recoding and self-teaching: Sine qua non of reading acquisition. Cognition, 55(2), 151–218. https://doi.org/10.1016/0010-0277(94)00645-2
   PubMed Web of Science ®Google Scholar
• Slavin, R. E., Lake, C., Davis, S., & Madden, N. A. (2011). Effective programs for struggling readers: A best-evidence synthesis. Educational Research Review, 6(1), 1–26. https://doi.org/10.1016/j.edurev.2010.07.002
   Web of Science ®Google Scholar
• Sprenger-Charolles, L. (2017). Une progression pédagogique construite à partir de statistiques sur l’orthographe du français (d’après Manulex-Morpho): Pour les lecteurs débutants et atypiques. Approche Neuropsychologique des Apprentissages chez l’Enfant (ANAE), 148(5), 247–256.
   Google Scholar
• Sprenger-Charolles, L., Colé, P., Bechennec, D., & Kipffer-Piquard, A. (2005). French normative data on reading and related skills from EVALEC, a new computerized battery of tests. Revue Européenne de Psychologie Appliquée, 55(3), 157–186. https://doi.org/10.1016/j.erap.2004.11.002
   Google Scholar
• Sprenger-Charolles, L., Siegel, L. S., Béchennec, D., & Serniclaes, W. (2003). Development of phonological and orthographic processing in reading aloud, in silent reading and in spelling: A four year longitudinal study. Journal of Experimental Child Psychology, 84(3), 194–217. https://doi.org/10.1016/S0022-0965(03)00024-9
   PubMed Web of Science ®Google Scholar
• Thomson, J. M., Foldnes, N., Uppstad, P. H., Njå, M., Solheim, O. J., & Lundetræ, K. (2020). Can children’s instructional gameplay activity be used as a predictive indicator of reading skills? Learning and Instruction, 68, 101348. https://doi.org/10.1016/j.learninstruc.2020.101348
   Web of Science ®Google Scholar
• Van Nieuwenhoven, C., Noël, M.-P., & Grégoire, J. (2001). Tedi-math: Test diagnostique des compétences de base en mathématiques. ECPA.
   Google Scholar
• Wilson, A. J., Dehaene, S., Pinel, P., Revkin, S. K., Cohen, L., & Cohen, D. (2006). Principles underlying the design of “the number race,” an adaptive computer game for remediation of dyscalculia. Behavioral and Brain Functions, 2(1), 19. https://doi.org/10.1186/1744-9081-2-19
   PubMedGoogle Scholar
• Wouters, P., van Nimwegen, C., van Oostendorp, H., & van der Spek, E. D. (2013). A meta-analysis of the cognitive and motivational effects of serious games. Journal of Educational Psychology, 105(2), 249–265. https://doi.org/10.1037/a0031311
   Web of Science ®Google Scholar
• Ziegler, J. C., Bertrand, D., Tóth, D., Csépe, V., Reis, A., Faísca, L., … Blomert, L. (2010). Orthographic depth and its impact on universal predictors of reading: A cross-language investigation. Psychological Science, 21(4), 551–559. https://doi.org/10.1177/0956797610363406
   PubMed Web of Science ®Google Scholar
• Ziegler, J. C., & Goswami, U. (2005). Reading acquisition, developmental dyslexia, and skilled reading across languages: A psycholinguistic grain size theory. Psychological Bulletin, 131(1), 3–29. https://doi.org/10.1037/0033-2909.131.1.3
   PubMed Web of Science ®Google Scholar
• 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: Biological Sciences, 369(1634), 20120397. https://doi.org/10.1098/rstb.2012.0397
   PubMed Web of Science ®Google Scholar
• Ziegler, J. C., Perry, C., & Zorzi, M. (2020). Learning to read and dyslexia: From theory to intervention through personalized computational models. Current Directions in Psychological Science, 29(3), 293–300. https://doi.org/10.1177/0963721420915873
   PubMed Web of Science ®Google Scholar