Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…

As artificial intelligence and natural language processing methods rapidly develop, communication plays a pivotal role in every-day interactions. In this theoretical paper, we explore the overlap and commonalities between question-asking and prompt engineering. While seemingly distinct, these processes share a common foundation in essential skills…

Purpose: Word learning requires the creation of phonological and semantic representations and links in long-term memory. Phonological distance of a given word from the spoken language affects children's lexical-phonological representations and processing. The study investigates the role of the phonological distance of Modern Standard Arabic (StA)…

Although the idea of translation psychology dates from the 1970s, it is still a rather neglected branch of translation studies. The purpose of this study is to describe the relations of translators' implicit theories of translation to goal orientation, self-efficacy and self-regulation. The sample consisted of 125 adults (of at least 18 years old)…

A short form of the 60-item computer-based orthographic processing assessment (long-form COPA or COPA-LF) was developed. The COPA-LF consists of five skills, including rapid perception, access, differentiation, correction, and arrangement. Thirty items from the COPA-LF were selected for the short-form COPA (COPA-SF) based on cognitive diagnostic…

Purpose: This study aimed to investigate how hearing loss affects (a) spoken language processing and (b) processing of faster speech in school-age children who are deaf and hard of hearing (DHH). Method: Spoken language processing was compared in thirty-six 7- to 12-year-olds who are DHH and 31 peers with normal hearing using a word detection…

Purpose: The objective of this study was to elucidate the intentions of university teachers regarding the utilization of ChatGPT for instructional purposes. Design/methodology/approach: In this cross-sectional quantitative research, data were collected through an online survey tool from 493 university teachers across Pakistan. Findings: The…

The development of explanations for scientific phenomena is crucial in science assessment. However, the scoring of students' written explanations is a challenging and resource-intensive process. Large language models (LLMs) have demonstrated the potential to address these challenges, particularly when the explanations are written in English, an…

The purpose of this research is to provide a first-person account of the dynamics and needed adaptations in an academic's transition from being a doctoral student to a doctoral supervisor. By employing autoethnography, this study explores the inner experiences, challenges, and insights encountered in the process of developing a supervisory…

Like many student writing centers, the American University of Sharjah Writing Center is seeing a rise in student reliance upon generative AI (GenAI) tools, which are artificial intelligence systems capable of generating human-like text. Peer tutors frequently seek guidance on how to approach student papers involving GenAI tools such as ChatGPT,…

This study investigated the effects of linear distance, agreement attraction, and working memory (WM) on the processing of English third-person singular subject-verb agreement by second language (L2) learners whose first language (L1) is Thai. Grounded in the Linear Distance Hypothesis (Gibson, 1998, 2000), the study hypothesized that linear…

An outgrowth of work submitted for Howard University's Generative Artificial Intelligence (AI) Writing Faculty Task Force, this essay examines what is at stake for students of color with the use of AI as well as the potential opportunities it presents. The research is tailored to explore how the mission of Historically Black Colleges and…

Large language models (LLMs) are increasingly being utilized to develop tools and services in various domains, including education. However, due to the nature of the training data, these models are susceptible to inherent social or cognitive biases, which can influence their outputs. Furthermore, their handling of critical topics, such as privacy…

This study investigates the impact and role of an instructional chatbot, ARUChatbot, in a distance education setting. Using a sequential explanatory mixed-methods design, the research involved 130 students from Ardahan University's Basic Information Technologies course. Participants were selected through purposive sampling. Quantitative data were…

Artificial Intelligence (AI) has the potential to revolutionize education as it develops, offering dynamic, individualized, and effective learning experiences that might change teaching practices. However, there is still inconsistency and limitations in the integration and use of AI in Tanzanian universities. Therefore, the study delt to…