Embedded questions (EQs) are islands for filler--gap dependency formation in English, but not in Norwegian. Kush and Dahl (2022) found that first language (L1) Norwegian participants often accepted filler-gap dependencies into EQs in second language (L2) English, and proposed that this reflected persistent transfer from Norwegian of the functional…

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…

Corpus-based studies have offered the domain definition inference for test developers. Yet, corpus-based studies on temporal fluency measures (e.g., speech rate) have been limited, especially in the context of academic lecture settings. This made it difficult for test developers to sample representative fluency features to create authentic…

Studies on automatic scoring systems in writing assessments have also evaluated the relationship between human and machine scores for the reliability of automated essay scoring systems. This study investigated the magnitudes of indices for inter-rater agreement and discrepancy, especially regarding human and machine scoring, in writing assessment.…

Acquiring technological literacy and acceptance has a significant influence on academic emotion regulation (AER), academic resilience (AR), willingness to communicate (WTC), and academic enjoyment (AE), which are crucial for the success of university students. However, this area has not been adequately explored in research, particularly in the…

The "purpose" of the study is to identify how the speech production component of the linguistic competence, which seems to be a deficiency of using the Moodle LMS in the language training, can be enhanced through the use of the voice-administered language tests. Ten Moodle-based voice-administered language tests were designed, piloted,…

This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…

Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…

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…

The study examines the effects of using computer delivered Processing Instruction (PI) to teach English reflexives. Thirty intermediate ESL learners participated in the pretest-treatment-posttest study. Participants received the input-based PI activities. Gains were assessed by traditional offline tasks such as sentence interpretation and…

In two visual-world eye-tracking experiments, we explore the extent to which conflicting first-language (L1) based grammatical parses influence second-language (L2) learners' on-line and off-line interpretation of sentences in the L2. We used cross-linguistic structural priming to potentially boost competition from the L1 grammar during the…

This article reports on two studies, testing how three different types of input (skewed first, skewed random and balanced) affect second language (L2) learning of English present counterfactual (IF-Is) and past counterfactual (IF-IIs) conditionals, two constructions differing in complexity. The experiment included a proficiency test, a pretest, a…

VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…

To what extent does emotional reactivity differ when bilinguals process input in their native (L1) or non-native language (L2)? Does the L1 elicit a significantly stronger emotional arousal or can salient second language experience generate comparably strong associations between emotions and the L2? These questions were addressed through two…