Online Dynamic Testing of Reading and Writing, Executive Functioning and Reading Self-Concept in Typically Developing Children and Children Diagnosed with Dyslexia
Mirjam de Vreeze-Westgeest , Sara Mata , Francisca Serrano , Wilma Resing , Bart Vogelaar
The current study aimed to investigate the effectiveness of an online dynamic test in reading and writing, differentiating in typically developing chi.
- Pub. date: December 15, 2023
- Pages: 165-179
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The current study aimed to investigate the effectiveness of an online dynamic test in reading and writing, differentiating in typically developing children (n = 47) and children diagnosed with dyslexia (n = 30) aged between nine and twelve years. In doing so, it was analysed whether visual working memory, auditory working memory, inhibition, cognitive flexibility, and reading self-concept were related to the outcomes of the online dynamic test. The study followed a pretest-training-posttest design with two conditions: experimental (n = 41), who received training between the pretest and posttest, and control (n = 37), who received training after the posttest. Results showed that typically developing children and children diagnosed with dyslexia in both conditions could improve their reading and writing accuracy scores, while the training in prosodic awareness might have tapped into children's potential for learning. Moreover, results revealed that in children diagnosed with dyslexia, training in the domain of writing competence could compensate for cognitive flexibility. However, training was not found to compensate for reading self-concept in children diagnosed with dyslexia.
Keywords: Online dynamic testing, developing children, dyslexia.
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References
Ajmal, M., & Rafique, M. (2018). Relationship between academic self-concept and academic achievement of distance learners. Pakistan Journal of Distance and Online Learning, IV (11), 225-244.
Altemeier, L. E., Abbott, R. D., & Berninger, V. W. (2008). Executive functions for reading a and writing in typical literacy development and dyslexia. Journal of Clinical and Experimental Neuropsychology, 30(5), 588–606. https://doi.org/10.1080/13803390701562818
Aravena, S., Tijms, J., Snellings, P., & Van der Molen, M. W. (2018). Predicting individual differences in reading and writing skill with artificial script–based letter–speech sound training. Journal of Learning Disabilities, 51(6), 552–564. https://doi.org/10.1177/0022219417715407
Arnoutse, C. A. J. (2004). Ontwikkeling van beginnende geletterdheid [Development of early literacy]. Thieme Media Center.
Bagazi, A. (2022). Reading self-concept and motivation: A perspective from students with reading difficulties. International Journal of Education and Practice, 10(4), 334–349. https://doi.org/10.18488/61.v10i4.3197
Bailey, B. A., Andrzejewski, S. K., Greif, S. M., Svingos, A. M., & Heaton, S. C. (2018). The role of executive functioning and academic achievement in the academic self-concept of children and adolescents referred for neuropsychological assessment. Children, 5(7), Article 83. https://doi.org/10.3390/children5070083
Caffrey, E., Fuchs, D., & Fuchs, L. S. (2008). The predictive validity of dynamic assessment. The Journal of Special Education, 41(4), 254–270. https://doi.org/10.1177/0022466907310366
Chapman, J. W., & Tunmer, W. E. (1995). Development of young children's reading self-concepts: An examination of emerging subcomponents and their relationship with reading achievement. Journal of Educational Psychology, 87(1), 154–167. https://doi.org/10.1037/0022-0663.87.1.154
Cortés Pascual, A., Moyano Muñoz, N., & Quílez Robres, A. (2019). The relationship between executive functions and academic performance in primary education: Review and meta-analysis. Frontiers in Psychology, 10, Article 1582. https://doi.org/10.3389/fpsyg.2019.01582
Dadgar, H., Karimzadegan, A., Soleymani, Z., & Tehranidoost, M. (2022). Relationship between cognitive flexibility, attention shifting, and planning with accuracy, speed, and reading comprehension in normal children and children with dyslexia. The Scientific Journal of Rehabilitation Medicine, 11(3), 462-473. https://doi.org/10.32598/SJRM.11.3.10
Diamond, A. (2013). Executive functions. Annual review of psychology, 64, 135-168. https://doi.org/10.1146/annurev-psych-113011-143750
Durik, A. M., Vida, M., & Eccles, J. S. (2006). Task values and ability beliefs as predictors of high school literacy choices: A developmental analysis. Journal of Educational Psychology, 98(2), 382–393. https://doi.org/10.1037/0022-0663.98.2.382
Ebadi, S., & Rahimi, M. (2019). Mediating EFL learners' academic writing skills in online dynamic assessment using Google Docs. Computer Assisted Language Learning, 32(5–6), 527–555. https://doi.org/10.1080/09588221.2018.1527362
Friso-van den Bos, I., & van de Weijer-Bergsma, E. (2020). Classroom versus individual working memory assessment: Predicting academic achievement and the role of attention and response inhibition. Memory, 28(1), 70–82. https://doi.org/10.1080/09658211.2019.1682170
Galuschka, K., Görgen, R., Kalmar, J., Haberstroh, S., Schmalz, X., & Schulte-Körne, G. (2020). Effectiveness of spelling interventions for learners with dyslexia: A meta-analysis and systematic review. Educational Psychologist, 55(1), 1–20. https://doi.org/10.1080/00461520.2019.1659794
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, 5595–5612. https://doi.org/10.1007/s12144-019-00444-1
Godde, E., Bosse, M.L., & Bailly, G. (2020). A review of reading prosody acquisition and development. Reading and Writing, 33, 399–426. https://doi.org/10.1007/s11145-019-09968-1
Goswami, U. (2019). Cognitive development and cognitive neuroscience: The learning brain. Routledge. https://doi.org/10.4324/9781315684734
Grills, A. E., Fletcher, J. M., Vaughn, S., Barth, A., Denton, C. A., & Stuebing, K. K. (2014). Anxiety and response to reading intervention among first grade students. Child & Youth Care Forum, 43, 417–431. https://doi.org/10.1007/s10566-014-9244-3
Jeltova, I., Birney, D. P., Fredine, N., Jarvin, L., Sternberg, R. J., & Grigorenko, E. L. (2007). Dynamic assessment as a process-oriented assessment in educational settings. Advances in Speech-Language Pathology, 9(4), 273–285. https://doi.org/10.1080/14417040701460390
Johann, V. E., Könen, T., & Karbach, J. (2020). The unique contribution of working memory, inhibition, cognitive flexibility, and intelligence to reading comprehension and reading speed. Child Neuropsychology, 26(3), 324–344. https://doi.org/10.1080/09297049.2019.1649381
Katzir, T., Kim, Y.-S. G., & Dotan, S. (2018). Reading self-concept and reading anxiety in second grade children: The roles of word reading, emergent literacy skills, working memory and gender. Frontiers in Psychology, 9, Article 1180. https://doi.org/10.3389/fpsyg.2018.01180
Kudo, M. F., Lussier, C. M., & Swanson, H. L. (2015). Reading disabilities in children: A selective meta-analysis of the cognitive literature. Research in Developmental Disabilities, 40, 51–62. https://doi.org/10.1016/j.ridd.2015.01.002
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), Article 1647601. https://doi.org/10.1080/23311908.2019.1647601
Lyon, G. R., Shaywitz, S. E., & Shaywitz, B. A. (2003). A definition of dyslexia. Annals of Dyslexia, 53, 1–14. https://doi.org/10.1007/s11881-003-0001-9
Mata, S., & Serrano, F. (2019). EPALE; Test de evaluación del potencial de aprendizaje para lecto-escritura [Assessment test of learning potential for reading and writing]. Editorial Universidad de Granada.
Medina, G. B. K., & Guimarães, S. R. K. (2021). Leitura na dislexia do desenvolvimento: o papel da consciência fonêmica e das funções executivas [Reading in developmental dyslexia: The role of phonemic awareness and executive functions]. Estudos De Psicologia (Campinas), 38. https://doi.org/10.1590/1982-0275202138e180178
Melby-Lervåg, M., Lyster, S.-A. H., & Hulme, C. (2012). Phonological skills and their role in learning to read: A meta-analytic review. Psychological Bulletin, 138(2), 322–352. https://doi.org/10.1037/a0026744
Navarro, J.-J., & Lara, L. (2017). Dynamic assessment of reading difficulties: Predictive and incremental validity on attitude toward reading and the use of dialogue/participation strategies in classroom activities. Frontiers in Psychology, 8, Article 173. https://doi.org/10.3389/fpsyg.2017.00173
Nazari, B. (2012). Teach-to-test instruction of dynamic assessment: A critical overview. Bellaterra Journal of Teaching and Learning Language and Literature, 5(4), 56-68. https://doi.org/10.5565/rev/jtl3.468
Nicholas, M., & Rouse, E. (2021). Learning to read: Where should early childhood educators begin? Literacy, 55(1), 3–13. https://doi.org/10.1111/lit.12229
O'Brien, G., & Yeatman, J. D. (2021). Bridging sensory and language theories of dyslexia: Toward a multifactorial model. Developmental Science, 24(3), Article e13039. https://doi.org/10.1111/desc.13039
Passig, D., Tzuriel, D., & Eshel-Kedmi, G. (2016). Improving children's cognitive modifiability by dynamic assessment in 3D immersive virtual reality environments. Computers & Education, 95, 296-308. https://doi.org/10.1016/j.compedu.2016.01.009
Peng, P., Barnes, M., Wang, C., Wang, W., Li, S., Swanson, H. L., Dardick, W., & Tao, S. (2018). A meta-analysis on the relation between reading and working memory. Psychological Bulletin, 144(1), 48–76. https://doi.org/10.1037/bul0000124
Petersen, D. B., Allen, M. M., & Spencer, T. D. (2016). Predicting reading difficulty in first grade using dynamic assessment of decoding in early kindergarten. Journal of Learning Disabilities, 49(2), 200–215. https://doi.org/10.1177/0022219414538518
Petersen, D. B., Gragg, S. L., & Spencer, T. D. (2018). Predicting reading difficulties 6 years into the future: dynamic assessment reduces bias and increases classification accuracy. Language Speech and Hearing Services in Schools, 49(4), 875–888. https://doi.org/10.1044/2018_lshss-dyslc-18-0021
Poehner, M. E., & Lantolf, J. P. (2013). Bringing the ZPD into the equation: Capturing L2 development during Computerized Dynamic Assessment (C-DA). Language Teaching Research, 17(3), 323-342. https://doi.org/10.1177/1362168813482935
Puhan, G., Boughton, K. A., & Kim, S. (2007). Examining differences in examinee performance in paper and pencil and computerized testing. Journal of Technology, Learning and Assessment, 6(3), 4-20. https://bit.ly/3rR5NPu
Resing, W. C. M. (2000). Assessing the learning potential for inductive reasoning (LIR) in young children. In C. Lidz & J. G. Elliott (Eds.), Dynamic assessment: Prevailing models and applications (pp. 229–262). Elsevier Science.
Resing, W. C. M. (2013). Dynamic testing and individualised instruction: helpful in cognitive education? Journal of Cognitive Education and Psychology, 12(1), 81–95. https://doi.org/10.1891/1945-8959.12.1.81
Resing, W. C. M., Bleichrodt, N., Drenth, P. J. D., & Zaal, J. N. (2012). Handleiding verantwoording RAKIT-2 Deel 2 Normen, betrouwbaarheid, validiteit en interpretatie [Manual RAKIT-2 Part 2 Norms, reliability, validity and interpretation]. Pearson.
Resing, W. C. M., Elliott, J. G., & Vogelaar, B. (2020). Assessing potential for learning in schoolchildren. In Oxford Research Encyclopedia of Education. Oxford University Press. https://doi.org/10.1093/acrefore/9780190264093.013.943
Ribner, A. D., Willoughby, M. T., Blair, C. B., & The Family Life Project Key Investigators. (2017). Executive function buffers the association between early math and later academic skills. Frontiers in Psychology, 8, Article 869. https://doi.org/10.3389/fpsyg.2017.00869
Sadasivan, A., Rucklidge, J. J., Gillon, G., & Kapur, M. (2012). Role of executive functions in improving reading accuracy in Indian children with reading disorder, comparing two types of intervention. Journal of Special Needs Education, 2, 9-25. https://bit.ly/3twvjdp
Serrano, F., & Defior, S. (2008). Dyslexia speed problems in a transparent orthography. Annals of Dyslexia, 58, 81–95. https://doi.org/10.1007/s11881-008-0013-6
Shareef, Z., Östberg, P., & Hedenius, M. (2018). Verbal fluency in relation to reading ability in students with and without dyslexia. Applied Psycholinguistics, 40(2), 445–472. https://doi.org/10.1017/s0142716418000644
Smith-Spark, J. H., Henry, L. A., Messer, D., & Zięcik, A. P. (2017). Verbal and non-verbal fluency in adults with developmental dyslexia: Phonological processing or executive control problems? Dyslexia, 23(3), 234–250. https://doi.org/10.1002/dys.1558
Snowling, M. J. (2013). Early identification and interventions for dyslexia: a contemporary view. Journal of Research in Special Educational Needs, 13(1), 7–14. https://doi.org/10.1111/j.1471-3802.2012.01262.x
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643-661. https://doi.org/10.1037/h0054651
Tijms, J., De Bree, E. H., Bonte, M., De Jong, P. F., Loykens, E., & Reij, R. (2021). Protocol Dyslexie Diagnostiek en Behandeling- versie 3.0. [Protocol dyslexia diagnostics and intervention version 3.0]. Nederlands kwaliteitsinstituut Dyslexie (NKD). https://bit.ly/3McGsX2
Vadasy, P. F., Sanders. E. A., & Cartwright, K. B. (2022). Cognitive flexibility in beginning decoding and encoding. Journal of Education for Students Placed at Risk, 28(4), 412-438. https://doi.org/10.1080/10824669.2022.2098132
Van der Elst, W., Van Boxtel, M. P. J., Van Breukelen, G. J. P., & Jolles, J. (2008). Detecting the significance of changes in performance on the Stroop Color-Word Test, Rey's Verbal Learning Test, and the Letter Digit Substitution Test: The regression-based change approach. Journal of the International Neuropsychological Society, 14(1), 71–80. https://doi.org/10.1017/S1355617708080028
Vogelaar, B., Bakker, M., Hoogeveen, L., & Resing, W. C. M. (2017). Dynamic testing of gifted and average-ability children's analogy problem solving: Does executive functioning play a role? Psychology in the Schools, 54(8), 837–851. https://doi.org/10.1002/pits.22032
Vogelaar, B., Resing, W. C. M., Stad, F. E., & Sweijen, S. W. (2019). Is planning related to dynamic testing outcomes? Investigating the potential for learning of gifted and average-ability children. Acta Psychologica, 196, 87–95. https://doi.org/10.1016/j.actpsy.2019.04.004
Vygotsky, L. S. (1978). Mind in Society: The development of higher psychological processes. Harvard University Press. https://doi.org/10.2307/j.ctvjf9vz4
Wackerle-Hollman, A. K., Schmitt, B. A., Bradfield, T. A., Rodriguez, M. C., & McConnell, S. R. (2015). Redefining individual growth and development indicators. Journal of Learning Disabilities, 48(5), 495–510. https://doi.org/10.1177/0022219413510181
Wechsler, D. (2014). Wechsler Intelligence Scale for children (5th ed.). Pearson. https://bit.ly/46VZ8Cm
Zuppardo, L., Rodríguez Fuentes, A. R., Pirrone, C., & Serrano, F. (2020). Las repercusiones de la dislexia en la autoestima, en el comportamiento socioemocional y en la ansiedad en escolares [The repercussions of dyslexia on self-esteem, socio-emotional behavior and anxiety in schoolchildren]. Psicología Educativa, 26(2), 175–183. https://doi.org/10.5093/psed2020a4