The JALT CALL Journal

Published in association
with the JALT CALL SIG



1.6
2022CiteScore
 
79th percentile
Powered by  Scopus

Related Publications

Insights into Digital Literacy in Language Teaching

Insights into Digital Literacy in Language Teaching

Jeong-Bae Son  (2024) This book explores digital literacy, digital pedagogies, digital technologies, and digital language…
Online Language Teaching: Crises and Creativities

Online Language Teaching: Crises and Creativities

Edited by Ursula Stickler & Martina Emke (2023) Online Language Teaching: Crises and Creativities collects…
Insights into Teaching and Learning Writing

Insights into Teaching and Learning Writing

Edited by Hassan Mohebbi  & Yijen Wang  (2023) Writing is one of the most challenging skills…
Insights into Autonomy and Technology in Language Teaching

Insights into Autonomy and Technology in Language Teaching

Chun Lai  (2023) Drawing on the literature and research findings from relevant research fields, including…
Insights into Flipped Classrooms

Insights into Flipped Classrooms

Adrian Leis  (2023) This book is aimed at those interested in the flipped learning model as…
Insights into Task-Based Language Teaching

Insights into Task-Based Language Teaching

Sima Khezrlou  (2022) This book aims to offer a unique contribution to the expanding literature on…

This work is licensed under a Creative Commons Attribution 4.0 International License.

DOI: 10.29140/jaltcall.v4n2.j59
Open Access

Combining technology and IRT testing to build student knowledge of high-frequency vocabulary

Charles Browne & Brent Culligan

– This article describes a suite of free software programs for cell phones and PCs that have been created to efficiently develop ESL and EFL learner’s knowledge of high-frequency vocabulary.


Author(s)

,

Paper type

Regular Articles

Pages

3-16

DOI

https://doi.org/10.29140/jaltcall.v4n2.59

Year



Abstract

This article describes a suite of free software programs for cell phones and PCs that have been created to efficiently develop ESL and EFL learner’s knowledge of high-frequency vocabulary. Until now, this level of efficiency has not been possible due to the variable nature of vocabulary knowledge within a class of students and the lack of diagnostic tools for identifying individual students’ known and unknown vocabulary. The programs are capable of accurately and efficiently assessing the learner’s English lexical size, identifying which specific high-frequency words still need to be taught, and then teaching these important words via a time-intervalled flashcard system and learning games focused on developing automaticity of word knowledge. Although there have been several tests available for making estimates of a learner’s vocabulary profile such as Nation’s Vocabulary Levels Test (1990) and Meara’s Yes/No test (1992), there has been no attempts to identify the specific words a learner knows. Through the application of Item Response Theory to test item responses, we have been able to assign perceived word difficulties to a list of the most common words in English. A computer adaptive test drawing from an item bank of these words quickly and accurately assesses the number of English words known by learners, as well as determines which specific words are known and unknown.

Suggested citation

Browne, C., & Culligan, B. (2008). Combining technology and IRT testing to build student knowledge of high-frequency vocabulary. The JALT CALL Journal, 4(2), 3–16. https://doi.org/10.29140/jaltcall.v4n2.59