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The dynamics of reading development in L2 English for academic purposes

Bibliographic Data

ID11987733
AuthorsMin Gui (0000-0001-5445-7514, Wuhan University), Xiaokan Chen (Wuhan University), Marjolijn Verspoor (0000-0001-8828-8405, University of Pannonia, corresponding author)
Year2021
Volume100
Pages102546-102546
Publication date2021-06-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSystem (JOURNAL)
Journal identifiersISSN: 0346-251X • E-ISSN: 1879-3282
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.system.2021.102546
OpenAlexW3169981899
LanguageEN
Citations received12
References cited39

In a mixed-methods approach, this study investigates the complex and dynamic developmental trajectories of 27 Chinese Chemistry major undergraduates’ English academic reading ability. Twelve parallel tests were designed, validated, and used weekly during one semester. The analyses included a group pre-post design to measure academic reading gains, a regression analysis to predict beginning reading score with English proficiency and Chemistry knowledge as predictors, individual longitudinal case studies to measure variability and phase shifts, and a cluster analysis to discover (un)common developmental patterns. Finally, a qualitative study used interviews to discover difficulties in reading and strategies to overcome them. English proficiency predicted the initial reading score and the group gained significantly in academic reading. Each learner showed different non-linear patterns, and a cluster analysis revealed few similar patterns among learners. The high gainers showed relatively more variability over time and used more and a wider variety and more sophisticated learning and reading strategies to improve

Cluster (spacecraft · Data mining · Dynamics (music · Linguistics · Longitudinal study · Machine learning · Mathematics education · Measure (data warehouse · Pedagogy · Reading (process · Regression analysis · Statistics · Variety (cybernetics · Computer Science · Innovative Teaching and Learning Methods · Mathematics · Online Learning and Analytics · Psychology · Reading and Literacy Development · Artificial Intelligence

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Unique citing works12
Citations per year4
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 12

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