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Learning academic vocabulary through reading online news

Bibliographic Data

ID7155487
AuthorsThi Ngoc Yen Dang (0000-0002-3189-7776, University of Leeds), Cailing Lu (0000-0002-9911-2824, 12474 Shanghai Jiao Tong University , Shanghai , China, corresponding author)
Year2025
Volume63
Issue4
Pages2231-2257
Publication date2025-11-25
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueIRAL - International Review of Applied Linguistics in Language Teaching (JOURNAL)
Journal identifiersISSN: 0019-042X • E-ISSN: 1613-4141
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/iral-2023-0206
OpenAlexW4392979433
LanguageEN
Citations received1
References cited68

Although corpus-driven studies have suggested that non-academic texts such as online news can be a potential resource for learning specialized words and multiword sequences, no intervention studies have been conducted to examine whether learning actually happens from exposure to these texts. Adopting a quasi-experimental design, the present research investigated the potential of online news for incidentally learning academic words and multiword sequences. Fifty-three university students in China were divided into an experimental group ( n = 28) or a control group ( n = 25). Students in the experimental group read six pieces of online news containing 16 academic words and 26 academic multiword sequences. Students in the control group were not exposed to such online news. This study showed that reading online news resulted in learning gains of both academic single words and multiword sequences. Frequency of occurrence significantly contributed to the learning outcomes of academic words, but not multiword sequences. Learners’ previous vocabulary knowledge did not play a significant role in explaining the learning gains of academic single words nor multiword sequences

Academic writing · Control (management) · Linguistics · Mathematics education · Natural language processing · Reading (process) · Vocabulary · Vocabulary development · Vocabulary Learning · Artificial Intelligence · Computer Science · Natural Language Processing Techniques · Psychology · Second Language Acquisition and Learning · Text Readability and Simplification

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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