JOURNAL ARTICLE

Cognitive processes and strategies of bilingual students when attempting assessments in an L2.

  • Published In: Journal of Immersion & Content-Based Language Education, 2024, v. 12, n. 2. P. 135 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Teng, Xing San; Hsiao, Janet; Lo, Yuen Yi 3 of 3

Abstract

In bilingual education programs, students learn content knowledge through an additional language (L2). Their content knowledge is also assessed through their L2, which raises concerns about underestimating their actual learning. This study addresses such concerns by investigating the cognitive processes and strategies of bilingual learners when being assessed in their L2. 49 university students, divided into more proficient and less proficient L2 learners, participated in an eye-tracking experiment which captured their eye movements when attempting a biology assessment. They then reported their thinking processes and strategies during the assessment process in a stimulated recall. In general, the participants engaged in more cognitive processes when attempting questions that were more cognitively demanding and required productive language skills. The less proficient group had more and longer fixations and regressions than their more proficient counterparts, but the two groups reported similar strategies. These findings have implications for assessment design in bilingual education programs. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Immersion & Content-Based Language Education. 2024/07, Vol. 12, Issue 2, p135
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2024
  • ISSN:2212-8433
  • DOI:10.1075/jicb.23011.ten
  • Accession Number:180117362
  • Copyright Statement:Copyright of Journal of Immersion & Content-Based Language Education is the property of John Benjamins Publishing Co. 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.)

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