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Tai Ming Wut; Elaine Ah-heung Chan; Helen Shun-mun Wong; Jason K. Y. Chan – Education & Training, 2025
Purpose: Artificial intelligence (AI) has been used in the workplace for years. There are compulsory or elective AI courses in some universities for students to enroll in. With the wide adoption of AI in many industries now, employers also expect students to make good use of AI to enhance their work productivity and efficiency. Hence, the purpose…
Descriptors: Artificial Intelligence, Computer Literacy, Employment Potential, College Students
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Oliver Woollett – Curriculum Journal, 2025
Debate exists about the role and value of teaching spelling in the middle years of schooling. The increasing use of assistive technology in schools, has prompted questions about the time devoted to teaching spelling. Yet spelling and writing continue to be the means through which students are assessed as they move through school. In their study of…
Descriptors: Spelling Instruction, Curriculum Development, Computer Uses in Education, Artificial Intelligence
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Ruth A. Ortega-Dela Cruz; Ramiro Z. Dela Cruz – Journal of Teaching and Learning, 2025
The rapid advancement of artificial intelligence (AI) has generated significant interest within the educational sector, particularly in information technology (IT) education. This study explored the current challenges, opportunities, and future directions of AI in IT education in the Philippines, a nation working to enhance its educational system…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Educational Technology
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Anusha Anthony; Sonal Sharma – Journal of Educational Technology Systems, 2025
Generative AI like ChatGPT is transforming education and research rapidly. This study focuses on ethical considerations surrounding ChatGPT in academic research through a comprehensive bibliometric analysis of 245 research articles published between 2019-2024, collected from the Scopus database. The study uncovers a substantial surge in…
Descriptors: Literature Reviews, Bibliometrics, Artificial Intelligence, Intelligent Tutoring Systems
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Harpreet Auby; Namrata Shivagunde; Vijeta Deshpande; Anna Rumshisky; Milo D. Koretsky – Journal of Engineering Education, 2025
Background: Analyzing student short-answer written justifications to conceptually challenging questions has proven helpful to understand student thinking and improve conceptual understanding. However, qualitative analyses are limited by the burden of analyzing large amounts of text. Purpose: We apply dense and sparse Large Language Models (LLMs)…
Descriptors: Student Evaluation, Thinking Skills, Test Format, Cognitive Processes
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Kashinath Boral; Krishna Kanta Mondal – Journal of Educational Technology Systems, 2025
This study evaluates the performance of three leading AI chatbots--OpenAI's ChatGPT, Google's Gemini, and Microsoft Bing Copilot--in answering multiple choice questions (MCQs) from the UGC-NET Education paper. Using 150 randomly selected questions from examination cycles between June 2019 and December 2023, the chatbots' accuracy was assessed…
Descriptors: Artificial Intelligence, Technology Uses in Education, Multiple Choice Tests, Program Effectiveness
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Lu Han; Zhongchen Ban; Nan Zhao – Asia-Pacific Education Researcher, 2025
The prevalence of nomophobia (anxiety and fear caused by not having access to working mobile phone) has raised concerns among college students because of its negative influence on their physical and psychological health. This study aimed to investigate the impact of alexithymia on nomophobia in college students and to examine the chain mediating…
Descriptors: Anxiety, Fear, Handheld Devices, Telecommunications
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Sebastian Schorcht; Franziska Peters; Julian Kriegel – Digital Experiences in Mathematics Education, 2025
This study explores the application of communicative AI agents, specifically a network of customized generative pretrained transformer agents, in designing mathematical tasks. It focuses on how these AI agents, functioning as a multi-professional team, can perform mathematical task design (concerning a collection of task activities and not…
Descriptors: Artificial Intelligence, Mathematics Activities, Mathematics Education, Computer Uses in Education
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Bianca Manuela Sandu; Mégane Lesuisse; Soraya García-Sánchez – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
This article reports on the findings of a research study which has approached language learning motivation (LLM) following Ushioda's (2009) person-in-context relational view of L2 motivation, Consoli's life capital (2021, 2022), Dweck's mindset (2017) and Dörnyei's vision system (2009). Our study provides insights into how LLM research is key to…
Descriptors: Learning Motivation, Second Language Learning, English (Second Language), Undergraduate Students
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Brent A. Stevenor; Nadine LeBarron McBride; Charles Anyanwu – Journal of Applied Testing Technology, 2025
Enemy items are two test items that should not be presented to a candidate on the same test. Identifying enemies is essential for personnel assessment, as they weaken the measurement precision and validity of a test. In this research, we examined the effectiveness of lexical and semantic natural language processing techniques for identifying enemy…
Descriptors: Test Items, Natural Language Processing, Occupational Tests, Test Construction
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Charles R. Davis; Ellen Moskowitz; Michael Plotkin; Nichole Kelly – School Community Journal, 2025
Research shows that when school professionals--such as administrators, teachers, and nurses--communicate with families, students have improved academic achievement and attendance and are less likely to drop out. This article addresses how to improve the effectiveness and efficiency of school-home communication at minimal cost, especially when a…
Descriptors: Family School Relationship, Interpersonal Communication, Artificial Intelligence, Technology Uses in Education
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Wei Lu; Gurpinder Singh Lalli; Guiyou Jiang – European Journal of Education, 2025
AI has been introduced into design courses to enhance student learning outcomes, foster creativity, provide personalised learning support and improve design productivity. This study integrated AI tools as a facilitative aid in a creative product design course, focusing on examining students' learning outcomes and the creativity of their final…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Design
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Thomas Corbin; Phillip Dawson; Danny Liu – Assessment & Evaluation in Higher Education, 2025
Generative AI (GenAI) challenges assessment validity by enabling students to complete tasks without demonstrating genuine capability. In response to this challenge, institutions have developed and implemented various approaches that aim to communicate permissible AI use to students. Familiar examples include the 'traffic light' approach now…
Descriptors: Artificial Intelligence, Student Evaluation, Evaluation Methods, Change
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Yoonseo Kim – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
This study explores the potential of OpenAI's ChatGPT-4 (gpt-4-0613) as an automated essay scoring (AES) tool in a trial involving 300 essays from an American university's academic English program placement test. Three prompting strategies (minimal/detailed rubric, require/not require rationale, and with/without scoring examples) were tested for…
Descriptors: Automation, Scoring, Artificial Intelligence, Placement Tests
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Georgios P. Georgiou; Aretousa Giannakou – Journal of Psycholinguistic Research, 2024
Although extensive research has focused on the perceptual abilities of second language (L2) learners, a significant gap persists in understanding how cognitive functions like phonological short-term memory (PSTM) and nonverbal intelligence (IQ) impact L2 speech perception. This study sets out to investigate the discrimination of L2 English…
Descriptors: Nonverbal Ability, Second Language Learning, Short Term Memory, Accuracy
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