Abstracts
Résumé
Cette étude pilote porte sur l’utilisation des fonctions d’aide technologique (FAT) par des élèves du primaire, scolarisés en français et ayant des difficultés en lecture et en écriture (groupe FAT, n = 25). L’objectif est d’évaluer si les FAT améliorent leur compréhension de lecture et leur concept de soi scolaire (CSS) et si elles permettent de réduire le nombre de fautes à l’écrit. Un groupe de comparaison d’élèves tout-venant (n = 22) est inclus pour examiner si les scores des deux groupes se rapprochent au fil du temps. Les résultats montrent qu’après seulement cinq mois d’utilisation des FAT les élèves du groupe FAT réduisent leurs fautes à l’écrit et ils obtiennent même des performances comparables à celles de leurs pairs tout-venant. Pour la compréhension de lecture et le CSS, les effets d’interaction ne sont pas significatifs. Les implications pour la réussite scolaire et les recherches futures sont discutées.
Mots-clés :
- difficultés en lecture et en écriture,
- fonction d’aide technologique,
- concept de soi scolaire
Abstract
This pilot study focuses on the use of assistive technologies (AT) by elementary school students, educated in French, who were identified with reading and writing difficulties (AT group, n = 25). The aim of this study is to assess whether assistive technologies improved their reading comprehension, spelling errors, and academic self-concept. A comparison group of average achieving peers (n = 22) is included to examine whether the gap in scores of the two groups is reduced over time. The results show that between the two time periods, students in the AT group reduce their spelling errors, and after just five months using assistive technologies, they even got comparable performances to their normally achieving peers. In reading comprehension and academic self-concept, the interaction effects are not significant. The implications for academic success and future research are discussed.
Keywords:
- reading and writing difficulties,
- assistive technology,
- academic self-concept
Download the article in PDF to read it.
Download
Appendices
Bibliographie
- Anderson, C., Anderson, K., & Cherup, S. (2009). Investment vs. return: Outcomes of special education technology research in literacy for students with mild disabilities. Contemporary Issues in Technology and Teacher Education, 9(3), 337-355. https://citejournal.org/volume-9/issue-3-09/general/investment-vs-return-outcomes-of-special-education-technology-research-in-literacy-for-students-with-mild-disabilities/
- Baneath, B., Boutard, C., & Alberti, C. (2006). Chronosdictées. Outils d’évaluation des performances orthographiques avec et sans contrainte temporelle du CE1 à la troisième. Ortho-Édition.
- Batorowicz, B., Missiuna, C. A., & Pollock, N. A. (2012). Technology supporting written productivity in children with learning disabilities: A critical review. Canadian Journal of Occupational Therapy, 79(4), 211-224. https://doi.org/10.2182/cjot.2012.79.4.3
- Bear, G. G., Minke, K. M., & Manning, M. A. (2002). Self-concept of students with learning disabilities: A meta-analysis. School Psychology Review, 31(3), 405-427. https://doi.org/https://doi.org/10.1080/02796015.2002.12086165
- Bowser, G., Foster Carl, D., Fonner, K. S., Foss, T. V., Korsten, J. E., Lalk, K. M., Larson, J. B., Marfilius, S., McCloskey, S. R., Reed, P. R., & Zabala, J. S. (2015). Quality indicators for assistive technology. A comprehensive guide to assistive technology services. CAST Professional Publishing.
- Chiang, H.-Y., & Jacobs, K. (2009). Effect of computer-based instruction on students’ self-perception and functional task performance. Disability and Rehabilitation: Assistive Technology, 4(2), 106-118. https://doi.org/10.1080/17483100802613693
- Chouinard, J. (2016). Démarche à suivre pour choisir, valider et attribuer une aide technologique. Cyber Savoir. https://cybersavoir.csdm.qc.ca/adaptationscolaire/files/2020/05/Démarche-pour-choisir-valider-et-attribuer-une-aide-technologique.pdf
- Cohen, J. (2013). Statistical power analysis for the behavioral sciences (2e éd.). Routledge. https://doi.org/10.4324/9780203771587
- Druide informatique. (2018). Antidote (version 10) [logiciel]. https://www.antidote.info/fr?utm_source=druide.com&utm_medium=accueil&utm_campaign=vitrines&utm_content=bouton
- Ducharme, D., Magloire, J., & Montminy, K. (2018). Le respect des droits des élèves HDAA et l’organisation des services éducatifs dans le réseau scolaire québécois : une étude systémique. Commission des droits de la personne et des droits de la jeunesse du Québec. https://cdpdj.qc.ca/storage/app/media/vos-droits/qu-est-ce-que/droits-des-eleves-HDAA/etude_inclusion_EHDAA.pdf
- Dumont, M., Rousseau, N., Paquin, S., Boyer, P., & Stanké, B. (2019). Relation perçue entre l’utilisation de technologies d’aide et la perception de soi, le sentiment d’efficacité personnelle et l’anxiété aux évaluations en situation d’écriture. La nouvelle revue - Éducation et société inclusives, 87(3), 75-91. https://doi.org/10.3917/nresi.087.0075
- Elbaum, B., & Vaughn, S. (2001). School-based interventions to enhance the self-concept of students with learning disabilities: A meta-analysis. Elementary School Journal, 101(3), 302-329. https://doi.org/10.1086/499670
- Fougeyrollas, P. (2018). Pour en finir avec le processus de production du handicap. Mettre en œuvre l’équité et vivre la vulnérabilité. Spiritualitésanté, 11(2), 32-35.
- Fougeyrollas, P., Barral, C., Castelein, P., Korpes, J. L., Robin, J. P., Bergeron, H., Cloutier, R., Côté J., & Saint-Michel, G. (2020). Classification internationale. Modèle de développement humain - Processus de production du handicap (MDH-PPH). RIPPH.
- Gibby-Leversuch, R., Hartwell, B. K., & Wright, S. (2021). Dyslexia, literacy difficulties and the self-perceptions of children and young people: A systematic review. Current Psychology, 40(11), 5595-5612. https://doi.org/10.1007/s12144-019-00444-1
- Guay, M.-C. (2019). Ces enfants qui apprennent autrement. Trécarré.
- Hakkarainen, A. M., Holopainen, L. K., & Savolainen, H. K. (2015). A five-year follow-up on the role of educational support in preventing dropout from upper secondary education in Finland. Journal of Learning Disabilities, 48(4), 408-421. https://doi.org/10.1177/0022219413507603
- Haylem. (2018). Lexibar (version LP5) [logiciel]. https://azure.lexibar.ca/ca/fr/accueil
- Herold, M., Alant, E., & Bornman, J. (2008). Typing speed, spelling accuracy, and the use of word-prediction. South African Journal of Education, 28(1), 117-134. https://www.ajol.info/index.php/saje/article/view/25149
- Huang, A., Sun, M., Zhang, X., Lin, Y., Lin, X., Wu, K., & Huang, Y. (2021). Self-concept in primary school student with dyslexia: The relationship to parental rearing styles. International Journal of Environmental Research and Public Health, 18(18), 1-14. https://doi.org/10.3390/ijerph18189718
- Inizan, A. (1998). Analyse du savoir lire de 8 ans à l’âge adulte (ANALEC). Pearson.
- Joye, N., Dockrell, J. E., & Marshall, C. R. (2020). The spelling errors of french and english children with developmental language disorder at the end of primary school. Frontiers in Psychology, 11(1789), 1-21. https://doi.org/10.3389/fpsyg.2020.01789
- Korhonen, J., Linnanmäki, K., & Aunio, P. (2014). Learning difficulties, academic well-being and educational dropout: A person-centred approach. Learning and Individual Differences, 31, 1-10. https://doi.org/10.1016/j.lindif.2013.12.011
- Krämer, S., Möller, J., & Zimmermann, F. (2021). Inclusive education of students with general learning difficulties: A meta-analysis. Review of Educational Research, 91(3), 432-478. https://doi.org/10.3102/0034654321998072
- Lange, A. A., McPhillips, M., Mulhern, G., & Wylie, J. (2006). Assistive software tools for secondary-level students with literacy difficulties. Journal of Special Education Technology, 21(3), 13-22. https://doi.org/10.1080/17409292.2013.742286
- Lenker, J. A., Koester, H. H., & Smith, R. O. (2021). Toward a national system of assistive technology outcomes measurement. Assistive Technology, 33(1), 1-8. https://doi.org/10.1080/10400435.2019.1567620
- Lindeblad, E., Nilsson, S., Gustafson, S., & Svensson, I. (2019). Self-concepts and psychological health in children and adolescents with reading difficulties and the impact of assistive technology to compensate and facilitate reading ability. Cogent Psychology, 6(1), 1-18. https://doi.org/10.1080/23311908.2019.1647601
- MacArthur, C. A. (2014). Technology applications for improving literacy: A review of research. Dans H. L. Swanson, K. R. Harris et S. Graham (dir.), Handbook of learning disabilities (2e éd., p. 565-590). The Guilford Press.
- Marsh, H. W. (1984). Self-concept: The application of a frame of reference model to explain paradoxical results. Australian Journal of Education, 28(2), 165-181. https://doi.org/10.1177/000494418402800207
- Marsh, H. W. (1987). The big-fish-little-pond effect on academic self-concept. Journal of Educational Psychology, 79(3), 280-295. https://doi.org/10.1037/0022-0663.79.3.280
- Marsh, H. W., & Parker, J. W. (1984). Determinants of student self-concept: Is it better to be a relatively large fish in a small pond even if you don’t learn to swim as well? Journal of Personality and Social Psychology, 47(1), 213-231. https://doi.org/10.1037/0022-3514.47.1.213
- Marsh, H. W., Pekrun, R., Murayama, K., Arens, A. K., Parker, P. D., Guo, J., & Dicke, T. (2018). An integrated model of academic self-concept development: Academic self-concept, grades, test scores, and tracking over 6 years. Developmental Psychology, 54(2), 263-280. https://doi.org/10.1037/dev0000393
- Milani, A., Lorusso, M. L., & Molteni, M. (2010). The effects of audiobooks on the psychosocial adjustment of pre-adolescents and adolescents with dyslexia. Dyslexia, 16(1), 87-97. https://doi.org/10.1002/dys.397
- Ministère de l’Éducation du Loisir et du Sport. (2011). Considérations pour établir les mesures d’adaptation à mettre en place en situation d’évaluation (document de soutien). https://cybersavoir.csdm.qc.ca/wp-content/uploads/2013/11/Considérations.pdf
- Ministère de l’Éducation et de l’Enseignement supérieur. (2019). Règles budgétaires pour les investissements pour les années scolaires 2018-2019 à 2020-2021 : Éducation préscolaire et enseignement primaire et secondaire. Gouvernement du Québec. http://www.education.gouv.qc.ca/fileadmin/site_web/documents/PSG/ress_financieres/rb/RB_CS_18-21_INV_19_amend_oct.pdf
- O’Rourke, L., Connelly, V., Barnett, A. L., & Afonso, O. (2020). Use of spellcheck in text production by college students with dyslexia. Journal of Writing Research, 12(1), 35-61. https://doi.org/10.17239/jowr-2020.12.01.03
- Perelmutter, B., McGregor, K. K., & Gordon, K. R. (2017). Assistive technology interventions for adolescents and adults with learning disabilities: An evidence-based systematic review and meta-analysis. Computers and Education, 114, 139-163. https://doi.org/10.1016/j.compedu.2017.06.005
- Quillsoft. (2018). Word Q (version 5) [logiciel]. https://www.quillsoft.ca/
- Renick, M. J., & Harter, S. (2012). Self-perception profile for learning disabled students (SPPLD): Manuel and questionnaires. University of Denver. (Ouvrage original publié en 1988)
- Rioux, M. (2019). Les troubles dys, 10 ans après l’introduction des aides technologiques. École branchée. https://ecolebranchee.com/dossier-troubles-dys/
- Satterfield, B. (2016). History of assistive technology outcomes in education. Assistive Technology Outcomes and Benefits, 10(1), 1-18. https://www.atia.org/wp-content/uploads/2016/11/ATOBN1V10_ART1.pdf
- Schnitzler, K., Holzberger, D., & Seidel, T. (2021). All better than being disengaged: Student engagement patterns and their relations to academic self-concept and achievement. European Journal of Psychology of Education, 36, 627-652. https://doi.org/10.1007/s10212-020-00500-6
- Schütte, K., Zimmermann, F., & Köller, O. (2017). The role of domain-specific ability self-concepts in the value students attach to school. Learning and Individual Differences, 56, 136-142. https://doi.org/10.1016/j.lindif.2016.10.003
- Service national du Récit en adaptation scolaire. (2021). Fonction d’aide au soutien à la lecture par rétroaction vocale d’une synthèse vocale. RÉCIT. https://recitas.ca/fonctions-daide/6-fonction-daide-au-soutien-a-la-lecture-par-retroaction-vocale-dune-synthese-vocale/
- Shavelson, R. J., Hubner, J. J., & Stanton, G. C. (1976). Self-concept: Validation of construct interpretations. Review of Educational Research, 46(3), 407-441. https://doi.org/10.3102/00346543046003407
- Szumski, G., & Karwowski, M. (2015). Emotional and social integration and the big-fish-little-pond effect among students with and without disabilities. Learning and Individual Differences, 43, 63-74. https://doi.org/10.1016/j.lindif.2015.08.037
- Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5e éd.). Pearson Education.
- Tremblay, M., & Chouinard, J. (2013). Modèle des fonctions d’aide : un pont entre la théorie et la pratique. http://www.reptic.qc.ca/wp-content/uploads/2013/09/2013-06_Article_Modele-des-fonctions-aide-un-pont-entre-theorie-pratique.pdf
- Vienneau, R. (2004). De l’intégration scolaire à une véritable pédagogie de l’inclusion. Dans N. Rousseau et B. Stéphanie (dir.), La pédagogie de l’inclusion scolaire (p. 125-152). Presses de l’Université du Québec.
- Wood, S. G., Moxley, J. H., Tighe, E. L., & Wagner, R. K. (2018). Does use of text-to-speech and related read-aloud tools improve reading comprehension for students with reading disabilities? A meta-analysis. Journal of Learning Disabilities, 51(1), 73-84. https://doi.org/10.1177/0022219416688170