JOURNAL ARTICLE

The predictive effects of reading speed and positive affect on first and second language incidental vocabulary acquisition through reading an authentic novel.

  • Published In: Applied Linguistics Review, 2024, v. 15, n. 5. P. 2149 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Reynolds, Barry Lee; Ding, Chen 3 of 3

Abstract

This study investigated the effects of two learner-related factors on English as a first language (L1E) (n = 20) and English as a foreign language (EFL) (n = 20) learners' incidental vocabulary acquisition through reading an authentic novel. Central to the study was the participants' reading of the novel: A Clockwork Orange by British novelist Anthony Burgess. The novel contains slovos, which are words from nadsat, a foreignized argot used by the teenage gang members in the novel. Two unannounced tests followed the reading to measure the participants' word meaning recall and recognition of target words. Regression analyses revealed that reading speed was a robust factor that affected both the L1E and the EFL learners' acquisition of both word meaning recall and recognition; apparently, the faster the reading, the more words the readers acquired. However, positive affect, measured as reading enjoyment, did not turn out to be a factor in word acquisition. The findings indicate that the cognitive factor, i.e., reading speed, overrides the positive affect of reading enjoyment in determining L1E and EFL learners' incidental vocabulary acquisition through reading. This research concludes with a discussion of the pedagogical implications of repeated and extensive reading, which promote the development of reading speed. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Applied Linguistics Review. 2024/09, Vol. 15, Issue 5, p2149
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:1868-6303
  • DOI:10.1515/applirev-2022-0081
  • Accession Number:180111000
  • Copyright Statement:Copyright of Applied Linguistics Review is the property of De Gruyter and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.