What separates strong and weak ESL readers?

Lead Research Organisation: University of Reading
Department Name: Institute of Education

Abstract

My proposed research sets out to address one very simple, yet equally complex question: What separates strong and weak ESL1 readers? While much of the emphasis and discussion surrounding ESL reading research hitherto appears to have focused primarily on the use of cognitive and metacognitive reading strategies (e.g. Knight et al, 1985; Carrell et al, 1989; Sheorey & Mokhtari, 2001; Fung et al, 2003; Phakiti, 2003; Abbott, 2006), my proposal intends rather to use a combination of eye-tracking technology and introspective research methodologies (e.g. think-aloud and stimulated-recall interviews [Dornyei, 2007:147]), to investigate how stronger and weaker learners of English for Academic Purposes (EAP) process academic texts on a word-by-word basis, as they seek incrementally to construct meaning from the texts they engage with. I have been motivated in this idea by the several years I have spent teaching university foundation-level reading courses in China. Specifically, I have noticed that despite receiving similar instruction in ESL reading strategies (e.g. predicting content, mentally summarizing content, guessing the meaning of unknown vocabulary from context etc.), considerable differences invariably appear in the speed and ease with which strong and weak readers are able to learn to apply these strategies, and more generally to construct meaning from the texts they read.

In an attempt to elucidate how ESL readers process markers of cohesion in academic texts, and the extent to which their success or failure in this endeavor influences their ability to decode those texts, this research aims to explore the following four questions:
I. Is there a difference in the patterns of fixations and saccades in stronger and weaker ESL readers regarding lexical, grammatical and syntactic markers of textual cohesion?
II. To what extent do processing difficulties occur at the site of markers of textual cohesion?
III. To what extent can an intervention program designed to address potentially problematic markers of textual cohesion lead to improved outcomes for ESL readers?
IV. To what extent can eye-tracking technology be used to investigate reading difficulties in ESL students?

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
ES/P00072X/1 01/10/2017 30/09/2027
1937670 Studentship ES/P00072X/1 01/10/2017 30/09/2021 James Wagstaffe
 
Title Transcripts from 25 native Chinese speakers as the completed a think aloud interview while reading a quasi-academic English language text 
Description 25 native Chinese speakers enrolled in a UK university read a quasi-academic English language text whilst voicing their thoughts. The interviewer encouraged the participants to voice their thoughts on three main areas:(i) How they established their comprehension of the text, with a particular focus on discourse level comprehension (as opposed to word or sentence level comprehension), (ii) How they monitored their comprehension as they read, (iii) what specific steps/actions they took to repair the comprehension when they notices that problems had occurred. The participants were encouraged to used whichever language they felt would best allow them to voice their thoughts fluently as they read. As a result, the transcripts are predominantly in a mixture of English and Mandarin Chinese, as the participants typically resorted to code-switching. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? No  
Impact None so far. Analysis is ongoing 
 
Title the reading behaviours of 82 native Chinese speakers as they read quasi-academic English language texts 
Description This data set includes the eye movements of 82 native Chinese speakers as they read 4 quasi-academic English language texts. It aims to allow investigation of how this particular subset of non-native speakers process extended sections of discourse. The texts from which the data set was drawn specifically aim to highlight eye movement behaviour related to comprehension monitoring and regulation. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? No  
Impact None so far. Analysis of the data set is ongoing