Alghamdi, Emad A Gruba, Paul Masrai, Ahmed Velloso, Eduardo
date.accessioned:
2023-08-30T20:08:03Z
date.available:
2023-08-30T20:08:03Z
date.copyright:
2023
date.issued:
2023-09-04
description.abstract:
Although measures of lexical complexity are well established for printed texts, there is currently no
equivalent work for videos. This study, therefore, aims to investigate whether existing lexical complexity
measures can be extended to predict second language (L2) learners’ judgment of video difficulty. Using a
corpus of 320 instructional videos, regression models were developed for explaining and predicting
difficulty using indices of lexical sophistication, density, and diversity. Results of the study confirm key
dimensions of lexical complexity in estimates of video difficulty. In particular, lexical frequency indices
accounted for the largest variance in the assessment of video difficulty (R2 = .45). We conclude with
implications for CALL and suggest areas of further research.
endingpage:
21
format.extent:
21
identifier.citation:
Alghamdi, E. A., Gruba, P., Masrai, A., & Velloso, E. (2023). The use of lexical complexity for assessing difficulty in instructional videos. Language Learning & Technology, 27(1), 1–21. https://hdl.handle.net/10125/73524
identifier.issn:
1094-3501
identifier.uri:
https://hdl.handle.net/10125/73524
language:
eng
number:
1
publicationname:
Language Learning & Technology
publisher:
University of Hawaii National Foreign Language Resource Center Center for Language & Technology
rights.license:
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License