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Chih-Chung Lin; Tzu-Hsuan Lin; Chi-Kay Tang – Journal of Computer Assisted Learning, 2025
Background: The integration of generative artificial intelligence (Gen-AI) into second language (L2) education has opened new possibilities for personalized and adaptive instruction. While Gen-AI has shown promise in supporting language production skills, its application in reading, particularly in pre-reading scaffolding, remains underexplored.…
Descriptors: Reading Comprehension, English (Second Language), Second Language Learning, College Freshmen
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Brayan Diaz; Cesar Delgado; John Bacher; Collin Lynch; Kevin Han – International Journal of STEM Education, 2025
Background: Policy documents call for supporting STEM students in developing collaborative abilities for working in multidisciplinary teams. Courses with intra- and inter-group collaboration are therefore essential to prepare STEM students to participate in modern multidisciplinary professional environments. To analyze those courses, this paper…
Descriptors: Graduate Students, Cooperation, Teamwork, Computer Mediated Communication
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Sarah J. Wallace; Zheng Yen Ng; Bridget Burton; Megan Isaacs; Ryan Deslandes; Gopal Sinh; Kim Barron; Phill Jamieson; Kirstine A. Shrubsole; David A. Copland; Janet Wiles; Victoria J. Palmer; Pippa Evans; Kyla Hudson; Anthony J. Angwin; Annie J. Hill; Barbra H. B. Timmer; Matthew J. Gullo; Jessica H. Campbell; Peter Worthy – International Journal of Language & Communication Disorders, 2025
Background: Speech and language therapy for post-stroke aphasia (language/communication impairment) improves language and communication in the short-term; however, access to therapy is limited, and effects are not always maintained. Mobile Health (mHealth) applications may support long-term therapy access and maintenance of gains. We present a…
Descriptors: Neurological Impairments, Aphasia, Rehabilitation, Speech Therapy
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Xian Shang – European Journal of Education, 2025
Artificial intelligence (AI) technologies have been increasingly recognised for their transformative potential in education. However, limited research has examined the emotional and behavioural impacts of AI-powered robots on students. To bridge this gap, the present study explored whether instruction supported by AI-powered robots enhances…
Descriptors: Artificial Intelligence, Technology Uses in Education, Robotics, Learner Engagement
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Dan Fang; Shouhong Zhao; Wei Wei – European Journal of Education, 2025
Within the changing perspective of artificial intelligence (AI) teaching, English as a Foreign Language (EFL) students normally face an extensive range of educational challenges and difficulties, which can put their well-being at risk. Therefore, taking into account the elements that affect EFL students' well-being is crucial. Teachers' support…
Descriptors: English (Second Language), Second Language Learning, Well Being, Artificial Intelligence
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Nihal Dulkadir Yaman – European Journal of Education, 2025
Artificial intelligence (AI) is a technology that has been used quite effectively in the 21st century and has the potential to directly affect education as well as many other fields. AI is supported in many areas such as developing skills in education, increasing the effectiveness of education and student motivation, contributing to the…
Descriptors: Preservice Teachers, Teacher Developed Materials, Artificial Intelligence, Natural Language Processing
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Qi Xia; Yiming Yang; Xiaojing Weng; Wing Kin Cheng; Thomas K. F. Chiu – European Journal of Education, 2025
The success of efforts to integrate generative AI (GenAI) into classrooms depends heavily on teachers' willingness to integrate the relevant technologies. However, few studies have examined the effect of perceived psychological needs satisfaction on teachers' willingness to integrate GenAI (WIAI). This study investigated the effect of perceived…
Descriptors: Technology Integration, Artificial Intelligence, Computer Uses in Education, Need Gratification
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Batuhan Cicikler; H. Tugba Ozturk; Peri Tutar – European Journal of Education, 2025
This study examines demographic factors explaining adult digital literacy in Türkiye through a functional literacy approach. Demographics were chosen to examine functional digital literacy because factors such as gender, education and age significantly influence access to and use of digital technologies, making them key predictors of digital…
Descriptors: Foreign Countries, Adults, Technological Literacy, Individual Characteristics
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Mihaela Franjic; Biljana Božinovski – Teaching English with Technology, 2025
Despite their use in the classroom remaining controversial, generative AI chatbots that utilize LLMs have revolutionized all aspects of learning, formal and informal, and are proving remarkably useful in a second-language setting even if not primarily designed for foreign language learning. Across the globe, students' and faculty members' written…
Descriptors: Artificial Intelligence, English (Second Language), Writing Skills, Computer Uses in Education
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Shanna E. Hirsch; Steven A. Rufe; Hannah M. Mathews – Beyond Behavior, 2025
Special educators who work with students with significant behavior support needs require professional development opportunities that provide practice-based professional development and create the social support inherent in communities of practice. We outline a practice-based professional development model with follow-up sessions using the U.S.…
Descriptors: Communities of Practice, Special Education Teachers, Faculty Development, Learning Experience
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Jaye Johnson Thiel – Journal of Early Childhood Literacy, 2025
Using a feminist-new materialist lens, this paper attends to child-digital interactions in fostering Indigenous literacies, by focusing on the "Quantum Sandbox" exhibit in the Digital Immersion Lab at a Canadian children's science museum. Analytically, this paper explores how a digital exhibit ("Quantum Sandbox") creates a…
Descriptors: Children, Museums, Science Teaching Centers, Literacy
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Masabata Anna Thakaso – Discover Education, 2025
This study investigates intervention strategies aimed at enhancing student participation in blended learning and teaching, particularly in low-resource environments. With the increasing adoption of blended learning methodologies, many students face challenges related to access and affordability of technological resources, which can hinder their…
Descriptors: Intervention, Student Participation, Blended Learning, Disadvantaged
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Ngo Thi Huyen Trang; Phuoc Tai Nguyen – Educational Process: International Journal, 2025
Background/purpose: The research was conducted to explore how digital transformation can enhance LLCT teaching quality by integrating advanced technologies, improving interactivity, and fostering critical thinking among cadres. The main purpose is to analyze the necessity, current status, challenges, and solutions for digital transformation in…
Descriptors: Foreign Countries, Technology Uses in Education, Technology Integration, Educational Technology
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Igor Kotlyar; Joe Krasman – International Journal of Educational Technology in Higher Education, 2025
As AI technologies become increasingly integrated into education, this research investigates how students react to AI-generated versus human feedback in teamwork skills assessment. In Study 1, 108 students completed a virtual teamwork simulation and received assessment feedback framed as either AI- or human-generated. Students showed a clear…
Descriptors: Student Attitudes, Student Reaction, Artificial Intelligence, Man Machine Systems
National Centre for Vocational Education Research (NCVER), 2025
This publication summarises Australian employers' use and views of the vocational education and training (VET) system, and focuses on employer engagement and satisfaction with both accredited and unaccredited training. The findings are derived from the 2025 Survey of Employers' Use and Views of the VET System, a biennial survey that collects…
Descriptors: Foreign Countries, Career and Technical Education, Employer Attitudes, Satisfaction
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