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…

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…

Few studies have compared interference-based forgetting between item versus associative memory. The memory-system dependent forgetting hypothesis (Hardt, Nader, & Nadel, 2013) predicts that effects of interference on associative memory should be minimal because its hippocampal representation allows pattern separation even of highly similar…

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…

Purpose: The purpose of this study was to develop and pilot a novel treatment framework called "BEARS" (Balancing Effort, Accuracy, and Response Speed). People with aphasia (PWA) have been shown to maladaptively balance speed and accuracy during language tasks. BEARS is designed to train PWA to balance speed-accuracy trade-offs and…

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…

Scholars debate whether musical and linguistic abilities are associated or independent. In the present study, we examined whether musical rhythm skills predict receptive grammar proficiency in childhood. In Experiment 1, 7- to 17-year-old children (N = 68) were tested on their grammar and rhythm abilities. In the grammar-comprehension task,…

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.…

Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…

The aim of this experimental study is to examine the development of gender assignment and gender agreement in bilingual Albanian-Greek and English-Greek children as well as the exploitation of gender cues on the noun ending in real and pseudo-nouns. Four gender tasks were designed, two targeting gender assignment (determiner + noun production) and…

The current study examined the effects of text-based relational (i.e., cohesion), propositional-specific (i.e., lexical), and syntactic features in a source text on subsequent integration of the source text in spoken responses. It further investigated the effects of word integration on human ratings of speaking performance while taking into…

The "e-rater"® automated essay scoring system is used operationally in the scoring of "TOEFL iBT"® independent and integrated tasks. In this study we explored the psychometric added value of reporting four trait scores for each of these two tasks, beyond the total e-rater score.The four trait scores are word choice, grammatical…