Second language learners constitute a significant and expanding portion of the global population and there is a growing demand for tools that facilitate language learning and instruction across various levels and in different countries. The development of large language models (LLMs) has brought about a significant impact on the domains of natural…

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…

The purpose of this study was to examine the effects of Build a Word-Easy Spelling with Phonics, an electronic application of the word box intervention, on the acquisition, maintenance, and generalization of letter-sound correspondences for Learners of English as an Additional Language (LEALs). A single-subject multiple probe experimental design…

Although the use of technology for pragmatics instruction has attracted significant attention from scholars, the number of studies regarding the impact of self-access materials to this end is limited. Nearpod is a useful cloud-based application to support self-paced learning. This paper aims to probe the effect of learning through Nearpod on EFL…

Derived from Vygotsky's works, dynamic assessment (DA) enables learners to move beyond their current level of functioning through offering needs-sensitized mediation. This study aimed at exploring the learners' development in novel and increasingly more challenging situations called transcendence (TR) in an L2 context focusing on reading…

Concordancers are software programs that allow users to search for all occurrences of a word or sequences of words. Early descriptions of the potential for student concordancing were given by Tim Johns, who called it Data Driven Learning (DDL). Johns (1991) explains DDL as an investigation allowing students to form their own questions about the…

In this research, we investigated the suitability of implementing "e-rater"® automated essay scoring in a high-stakes large-scale English language testing program. We examined the effectiveness of generic scoring and 2 variants of prompt-based scoring approaches. Effectiveness was evaluated on a number of dimensions, including agreement…

E-rater[R] is an automated essay scoring system that uses natural language processing techniques to extract features from essays and to model statistically human holistic ratings. Educational Testing Service has investigated the use of e-rater, in conjunction with human ratings, to score one of the two writing tasks on the TOEFL-iBT[R] writing…

Electronic language corpora, and their attendant computer software, are proving increasingly influential in language teaching as sources of language descriptions and pedagogical materials. However, few teachers are clear about their nature or their relevance to language teaching. This paper defines corpora and their types, discusses their…