Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Background: Neurodivergent students, including those with Autism Spectrum Disorder (ASD) and Attention Deficit/Hyperactivity Disorder (ADHD), frequently encounter challenges in several areas of foreign language (FL) learning, including vocabulary acquisition. This exploratory study aimed to investigate real-time English as a Foreign Language (EFL) word recognition using eye tracking within the Visual World Paradigm (VWP). Specifically, it examined whether gaze patterns could serve as indicators of successful word recognition, how these patterns varied across three distractor types (semantic, phonological, unrelated), and whether age and vocabulary knowledge influenced visual attention during word processing.
Methods: Eye-tracking data were collected from 17 children aged 6-10 years with ADHD or ASD while they completed EFL word recognition tasks. Analyses focused on gaze metrics across target and distractor images to identify percentile-based thresholds as potential data-driven markers of recognition. Group differences (ADHD vs. ASD) and the roles of age and vocabulary knowledge were also examined.
Results: Children with ADHD exhibited increased fixations on phonological distractors, indicating higher susceptibility to interference, whereas children with ASD demonstrated more distributed attention, often attracted by semantic cues. Older participants and those with higher vocabulary scores showed more efficient gaze behavior, characterized by increased fixations on target images, greater attention to relevant stimuli, and reduced attention to distractors.
Conclusions: Percentile-based thresholds in gaze metrics may provide useful markers of word recognition in neurodivergent learners. Findings underscore the importance of differentiated instructional strategies in EFL education for children with ADHD and ASD. The study further supports the integration of eye tracking with behavioral assessments to advance understanding of language processing in atypical developmental contexts.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12384167 | PMC |
http://dx.doi.org/10.3390/brainsci15080876 | DOI Listing |