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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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Spencer J. Smith – Philosophical Studies in Education, 2025
This paper explores educators' use of generative artificial intelligence (AI) for their work. While educators might be more worried about their students farming out some of the tasks they are given to AI, there is an argument that educators ought to also be concerned about the damage done when they offload seemingly administrative or…
Descriptors: Artificial Intelligence, Educational Philosophy, Teacher Response, Technology Uses in Education
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Erik Voss – Language Testing, 2025
An increasing number of language testing companies are developing and deploying deep learning-based automated essay scoring systems (AES) to replace traditional approaches that rely on handcrafted feature extraction. However, there is hesitation to accept neural network approaches to automated essay scoring because the features are automatically…
Descriptors: Artificial Intelligence, Automation, Scoring, English (Second Language)
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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
Kristin Bailey Wilson; Kristen Gay; Dylan Barth; Colette Chelf; Cristi Ford; Emma Zone – Online Learning Consortium, 2025
The role of generative Artificial Intelligence (AI) in education has been the topic of scholarly and public debate, and research shows that institutional support for student use of AI remains a challenge. Given the rapid growth and adoption of AI, it is crucial to understand how students in higher education both perceive and use these new…
Descriptors: Learner Engagement, Artificial Intelligence, College Students, Student Attitudes
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Eliseo Vilalta-Perdomo, Editor; Alessandra Scroccaro, Editor; David Ernesto Salinas-Navarro, Editor; Rosario Michel-Villarreal, Editor – Emerald Publishing Limited, 2025
Written by teachers for educators and researchers, this is the first handbook to present a series of insights that teachers may use to conceive, design, execute, and develop active learning experiences for authentic assessment that will enrich students' learning experiences. Active Learning considers a series of educational methods where students…
Descriptors: Active Learning, Performance Based Assessment, Transformative Learning, Cooperative Learning
Cindy L. James – Sage Research Methods Cases, 2025
To further my research investigating the affective skills of university students, I engaged in a longitudinal mixed-methods study that explored the emotional intelligence (EI) of law students. For this study, I collected quantitative data to measure changes in EI of law students from their first to final year in the degree program. Then I gathered…
Descriptors: Law Students, Emotional Intelligence, Student Characteristics, Student Attitudes
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Liangyong Xue; Norliza Ghazali; Jazihan Mahat – International Journal of Technology in Education, 2025
The rapid integration of Artificial Intelligence (AI) in education has led to a surge in research on teachers' adoption of these technologies. However, there is a noticeable lack of comprehensive reviews synthesizing the current state of research on this topic. This study addresses this gap by systematically reviewing 33 studies published since…
Descriptors: Artificial Intelligence, Adoption (Ideas), Teacher Attitudes, Technology Uses in Education
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Chinnaphat Junruang; Issara Kanjug – Educational Process: International Journal, 2025
Background/purpose: In response to the increasing need to foster future-ready competencies, this study investigates the relationship between computational thinking (CT) and creative thinking (CrT) in early childhood. Traditional early education often overlooks the integration of these higher-order cognitive skills. This research aims to examine…
Descriptors: Foreign Countries, Preschool Children, Kindergarten, Artificial Intelligence
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