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Technology, Knowledge and Learning

, Volume 22, Issue 1, pp 23–35 | Cite as

Leveraging a Sorting Task as a Measure of Knowledge Structure in Bilingual Settings

  • Hengtao Tang
  • Roy Clariana
Original Research

Abstract

This descriptive exploratory study considers whether a simple sorting task can elicit readers’ knowledge structure in learners’ first and second language. In this investigation, knowledge structure is considered from a symbolic connectionist viewpoint as the fundamental pre-meaningful aspect of knowledge, where structure is the precursor of knowledge acquisition and the underpinning of meaningful activity. Chinese–English (C–E) bilingual participants (n = 23) were assigned to one of four counter-balanced conditions to complete two presorting tasks, read an English expository text passage, and then complete two post-sorting tasks including: CE-read-EC, CE-read-EC, EC-read-EC, and EC-read-CE. Data analysis focused on the knowledge structure measures elicited by the four sorting tasks. Results show that both the reading and the sorting elicitation task itself differentially influenced knowledge structure; the Chinese post-sorting task immediately after reading the English text led to a relatively more relational structure than did the English post-sorting task. Individual’s knowledge structure elicited by the sorting tasks was not much like those of other students, but each individual’s self-to-self structure in Chinese and English were somewhat alike before reading (r = .35, 13 % overlap) and moderately alike after reading (r = .62, 39 % overlap). These findings add to the evidence base that sorting tasks can elicit knowledge structures in dual language settings.

Keywords

Knowledge structure Sorting task Second language reading Measurement 

Notes

Acknowledgments

This is a research project for Dr. Roy Clariana’s course, LDT 594 Research Topics. Special thanks go to Yaozu Dong, Yuanyuan Shang, Yu Yan, and Shulong Yan for the support.

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Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.Pennsylvania State UniversityUniversity ParkUSA

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