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Simplification of literary and scientific texts to improve reading fluency and comprehension in beginning readers of French
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In: ISSN: 0142-7164 ; EISSN: 1469-1817 ; Applied Psycholinguistics ; https://hal-amu.archives-ouvertes.fr/hal-03549026 ; Applied Psycholinguistics, Cambridge University Press (CUP), 2022, pp.1-28. ⟨10.1017/S014271642100062X⟩ (2022)
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Abstract:
International audience ; Reading comprehension and fluency are crucial for successful academic learning and achievement. Yet, a rather large percentage of children still have enormous difficulties in understanding a written text at the end of primary school. In this context, the aim of our study was to investigate whether text simplification, a process of reducing text complexity while keeping its meaning unchanged, can improve reading fluency and comprehension for children learning to read. Furthermore, we were interested in finding out whether some readers would benefit more than others from text simplification as a function of their cognitive and language profile. To address these issues, we developed an iBook application for iPads, which allowed us to present normal and simplified versions of informative and narrative texts to 165 children in grade 2. Reading fluency was measured for each sentence, and text comprehension was measured for each text using multiple-choice questions. The results showed that both reading fluency and reading comprehension were significantly better for simplified than for normal texts. Results showed that poor readers and children with weaker cognitive skills (nonverbal intelligence, memory) benefitted to a greater extent from simplification than good readers and children with somewhat stronger cognitive skills.
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Keyword:
[SCCO.PSYC]Cognitive science/Psychology; [SHS.EDU]Humanities and Social Sciences/Education; fluency; readability; reading comprehension; Text simplification; textual variability
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URL: https://hal-amu.archives-ouvertes.fr/hal-03549026 https://doi.org/10.1017/S014271642100062X https://hal-amu.archives-ouvertes.fr/hal-03549026/file/2022_Simplification_Applied_Psychonlinguistics.pdf https://hal-amu.archives-ouvertes.fr/hal-03549026/document
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Using Virtual Reality to Assess Reading Fluency in Children
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In: ISSN: 2504-284X ; Frontiers in Education ; https://hal-amu.archives-ouvertes.fr/hal-03257346 ; Frontiers in Education , Frontiers, 2021, 6, ⟨10.3389/feduc.2021.693355⟩ (2021)
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As time goes by: space-time compatibility effects in word recognition
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In: ISSN: 0278-7393 ; EISSN: 1939-1285 ; Journal of Experimental Psychology: Learning, Memory, and Cognition ; https://hal-amu.archives-ouvertes.fr/hal-03193618 ; Journal of Experimental Psychology: Learning, Memory, and Cognition, American Psychological Association, 2021, ⟨10.1037/xlm0001007⟩ (2021)
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The dynamics of reading complex words: evidence from steady-state visual evoked potentials
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In: ISSN: 2045-2322 ; EISSN: 2045-2322 ; Scientific Reports ; https://hal-amu.archives-ouvertes.fr/hal-03320167 ; Scientific Reports, Nature Publishing Group, 2021, 11 (1), ⟨10.1038/s41598-021-95292-0⟩ (2021)
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Online activation of L1 Danish orthography enhances spoken word recognition of Swedish
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In: ISSN: 0332-5865 ; Nordic Journal of Linguistics ; https://hal-amu.archives-ouvertes.fr/hal-03283527 ; Nordic Journal of Linguistics, 2021, pp.1-19. ⟨10.1017/S0332586521000056⟩ (2021)
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Neural processing of vision and language in kindergarten is associated with prereading skills and predicts future literacy
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In: ISSN: 1065-9471 ; EISSN: 1097-0193 ; Human Brain Mapping ; https://hal-amu.archives-ouvertes.fr/hal-03217489 ; Human Brain Mapping, Wiley, 2021, ⟨10.1002/hbm.25449⟩ (2021)
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Neural processing of vision and language in kindergarten is associated with prereading skills and predicts future literacy ...
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Alector: A Parallel Corpus of Simplified French Texts with Alignments of Misreadings by Poor and Dyslexic Readers
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In: Language Resources and Evaluation for Language Technologies (LREC) ; https://hal.archives-ouvertes.fr/hal-02503986 ; Language Resources and Evaluation for Language Technologies (LREC), May 2020, Marseille, France (2020)
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Orthographic consistency influences morphological processing in reading aloud: Evidence from a cross‐linguistic study
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In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal-amu.archives-ouvertes.fr/hal-02507581 ; Developmental Science, Wiley, 2020, ⟨10.1111/desc.12952⟩ (2020)
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Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
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In: ISSN: 0963-7214 ; EISSN: 1467-8721 ; Current Directions in Psychological Science ; https://hal-amu.archives-ouvertes.fr/hal-02566111 ; Current Directions in Psychological Science, Association for Psychological Science, 2020, pp.096372142091587. ⟨10.1177/0963721420915873⟩ (2020)
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Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
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In: Current Directions in Psychological Science, Vol. 29, no. 3 (Jun 2020), pp. 293-300 (2020)
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Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
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In: Curr Dir Psychol Sci (2020)
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Orthographic consistency influences morphological processing in reading aloud: Evidence from a cross-linguistic study
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Frequency-tagged visual evoked responses track syllable effects in visual word recognition
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In: ISSN: 0010-9452 ; Cortex ; https://hal-amu.archives-ouvertes.fr/hal-02281144 ; Cortex, Elsevier, 2019, 121, pp.60-77. ⟨10.1016/j.cortex.2019.08.014⟩ (2019)
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Modeling the Variability of Developmental Dyslexia
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In: Developmental Dyslexia across Languages and Writing Systems ; https://hal-amu.archives-ouvertes.fr/hal-02308934 ; Developmental Dyslexia across Languages and Writing Systems, Cambridge University Press, pp.350-371, 2019, ⟨10.1017/9781108553377.016⟩ (2019)
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Understanding Dyslexia Through Personalized Large-Scale Computational Models ...
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Understanding Dyslexia Through Personalized Large-Scale Computational Models ...
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Understanding dyslexia through personalized large-scale computational models
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In: Psychological Science, Vol. 30, no. 3 (Feb 2019), pp. 386-395 (2019)
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Modeling the variability of developmental dyslexia
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In: Developmental dyslexia across languages and writing systems / Ludo Verhoeven, Charles Perfetti and Kenneth Pugh (eds.), pp. 350-371 (2019)
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Understanding Dyslexia Through Personalized Large-Scale Computational Models
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