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Liisa Rebane; Triin van Doorslaer – Interpreter and Translator Trainer, 2025
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)…
Descriptors: Translation, Metacognition, Self Efficacy, Goal Orientation
Yi-Jui I. Chen; Yi-Jhen Wu; Yi-Hsin Chen; Robin Irey – Journal of Psychoeducational Assessment, 2025
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…
Descriptors: Computer Assisted Testing, Test Length, Test Validity, Orthographic Symbols
Rosanne Abrahamse; Titia Benders; Katherine Demuth; Nan Xu Rattanasone – Journal of Speech, Language, and Hearing Research, 2025
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…
Descriptors: Hard of Hearing, Deafness, Oral Language, Language Processing
University Teachers at the Crossroads: Unpacking Their Intentions toward ChatGPT's Instructional Use
Muhammad Jaffar; Nazir Ahmed Jogezai; Abdul Rais Abdul Latiff; Fozia Ahmed Baloch; Gulab Khan Khilji – Journal of Applied Research in Higher Education, 2025
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…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Man Machine Systems
Jie Yang; Ehsan Latif; Yuze He; Xiaoming Zhai – Journal of Science Education and Technology, 2025
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…
Descriptors: Artificial Intelligence, Technology Uses in Education, Automation, Scoring
Adrian Lundberg – Research in Post-Compulsory Education, 2025
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…
Descriptors: Doctoral Students, Supervisors, Adjustment (to Environment), Professional Identity
Maria Eleftheriou; Muhammad Ahmer; Daniel Fredrick – Contemporary Educational Technology, 2025
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,…
Descriptors: Laboratories, Writing (Composition), Artificial Intelligence, Man Machine Systems
Montira Berteau; Nattama Pongpairoj – rEFLections, 2025
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…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Language Processing
Adrienne Carthon – Thresholds in Education, 2025
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…
Descriptors: Writing (Composition), Black Colleges, African American Students, Racism
Ishrat Ahmed; Wenxing Liu; Rod D. Roscoe; Elizabeth Reilley; Danielle S. McNamara – Grantee Submission, 2025
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…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, College Students
Ahmet Yusuf Cevher; Serkan Yildirim – Turkish Online Journal of Distance Education, 2025
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…
Descriptors: Distance Education, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Moabu Jimmy Chandafa; Fang Huang – International Journal of Technology in Education, 2025
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…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Attitudes, Teacher Attitudes
Farrow, Robert – Learning, Media and Technology, 2023
Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical practice in algorithmic education. Based on a critical review of the literature, this paper argues that XAI should be understood as part of a wider socio-technical turn in AI. The socio-technical perspective indicates that explicability is a relative term.…
Descriptors: Artificial Intelligence, Algorithms, Computer Uses in Education, Language Usage
Cychosz, Margaret; Mahr, Tristan; Munson, Benjamin; Newman, Rochelle; Edwards, Jan R. – Child Development, 2023
To learn language, children must map variable input to categories such as phones and words. How do children process variation and distinguish between variable pronunciations ("shoup" for "soup") versus new words? The unique sensory experience of children with cochlear implants, who learn speech through their device's degraded…
Descriptors: Preschool Children, Child Language, Pronunciation, Assistive Technology
Sello Prince Sekwatlakwatla; Vusumuzi Malele – International Journal of Education and Development using Information and Communication Technology, 2023
The emerging generative artificial intelligence (AI) chatbots, such as Chat Generative Pre-Trained Transformer (ChatGPT), have recently taken different disciplines by surprise. Very few scholarly papers show the collaborative effort by researchers on the impact of generative AI in higher education (HE) and its implication on HE disciplines and…
Descriptors: Artificial Intelligence, Natural Language Processing, Higher Education, Technology Uses in Education

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