The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…

This paper focuses on automatically assessing language proficiency levels according to linguistic complexity in learner English. We implement a supervised learning approach as part of an automatic essay scoring system. The objective is to uncover Common European Framework of Reference for Languages (CEFR) criterial features in writings by learners…

Purpose: This study builds a new system for automatically assessing learners' speech elicited from an oral discourse completion task (DCT), and evaluates the prediction capability of the system with a view to better understanding factors deemed influential in predicting speaking proficiency scores and the pedagogical implications of the system.…

This study attempts to explain a systematic phenomenon that has been described in interlanguage grammars crosslinguistically: Null-Prep, which consists of omitting the obligatory preposition in certain movement constructions. We propose that Null-Prep is not related to lack of knowledge of "wh"-movement, as previously assumed, but to…

Recent advances in machine learning have made automated scoring of learner speech widespread, and yet validation research that provides support for applying automated scoring technology to assessment is still in its infancy. Both the educational measurement and language assessment communities have called for greater transparency in describing…

This study reports on a review of 286 peer-reviewed articles from 2002-2018 to identify the mainstream assessment tools and strategies adopted for language proficiency assessment in computer-assisted language learning studies. Given the diversity of tools and strategies being adopted for assessment purposes, it was highly critical to trace the…

This study investigated the constructs underlying second language (L2) word association (WA) with regard to three dimensions of lexical competence--size, organization, and accessibility--and the lexical performance of speech. One-hundred and thirteen Japanese learners of English completed a computer-delivered oral WA task along with three…

Many assessments of writing proficiency that aid in making high-stakes decisions consist of several essay tasks evaluated by a combination of human holistic scores and computer-generated scores for essay features such as the rate of grammatical errors per word. Under typical conditions, a summary writing score is provided by a linear combination…

The heightened importance of foreign languages (L2) in the post 9-11 world demands more L2 listening research as listening is considered the most critical skill for most American military linguists. Some larger studies show that lexical knowledge can positively affect L2 listening (Chang, 2007; Mehrpour & Rahimi, 2010; Staehr, 2009), yet…

The purpose of the present study was to examine the predictive value of a dynamic test of English and French lexical specificity on at-risk reading classification in 13 at-risk and 44 not at-risk emerging English (L1)-French (L2) bilingual Grade 1 children (M = 75.87 months, SD = 3.18) enrolled in an early French immersion program in Canada.…

In experiments with univalent target stimuli, task-switching costs can be eliminated if participants are unaware of the task rules and apply cue-target-response associations. However, in experiments with bivalent target stimuli, participants show task-switching costs. Participants may exhibit switch costs even when no task rules are provided in…

The present study investigates integrated writing assessment performances with regard to the linguistic features of complexity, accuracy, and fluency (CAF). Given the increasing presence of integrated tasks in large-scale and classroom assessments, validity evidence is needed for the claim that their scores reflect targeted language abilities.…

A common drawback in traditional language education is that all students in the same class use the same content. Since students may have different backgrounds such as prior knowledge and learning speed, one single curriculum may not be able to accommodate every student. Unfortunately, most students cannot afford personalized language learning,…

Research on linguistic variation suggests that usage patterns are deeply embedded in native and non-native speakers' knowledge of grammar. This study explores the transfer of these variable sociolinguistic patterns at the initial stages of third language acquisition. We elicited narratives in Portuguese from two mirror-image groups of sequential…

The article presents the results of an exploratory study of the use of T.E.R.A., an automated tool measuring text complexity and readability based on the assessment of five text complexity parameters: narrativity, syntactic simplicity, word concreteness, referential cohesion and deep cohesion. Aimed at finding ways to utilize T.E.R.A. for…