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Richard Brock; Liam Cini O'Dwyer; Ben Rogers – Journal of Research in Science Teaching, 2025
Research reports that interesting but irrelevant information, seductive details, in teaching material can impede learning. In science education, the inclusion of historical narratives in lessons to promote interest has been recommended but may hinder learning. This study examines the impact of seductive details on UK high school students'…
Descriptors: Science Education, High School Students, Knowledge Level, Retention (Psychology)
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Pu Wang; Yijiang Liu – European Journal of Education, 2025
Artificial Intelligence (AI) is transforming music education by providing adaptive learning tools and personalised feedback. However, existing research has primarily focused on technological outcomes, with limited attention to the affective and motivational processes that drive effective AI-assisted music learning. This study aims to examine how…
Descriptors: Music Education, Artificial Intelligence, Technology Uses in Education, College Students
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William J. Fassbender – Learning, Media and Technology, 2025
Recent advancements in generative Artificial Intelligence (GenAI) were accompanied by both hype and fear regarding the ways in which such technologies of automation would replace human labor in various fields, including education. Rather than focusing on the replacement of humans in teaching, this piece uses new materialist thought [Barad, Karen.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Automation, Educational Change
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Maria Gretzky; Gideon Dishon – Learning, Media and Technology, 2025
The emergence of large language models (LLMs) that generate human-like texts has raised questions about the boundaries between human-authored and machine-generated outputs. This article examines how LLMs are re-shaping academic knowledge production through the emergence of the Algorithmic-Author. Drawing on Foucault's Author-Function and the…
Descriptors: Artificial Intelligence, Authors, Influence of Technology, Scholarship
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Rebecca Marrone; Andrew Zamecnik; Srecko Joksimovic; Jarrod Johnson; Maarten De Laat – Technology, Knowledge and Learning, 2025
This article examines students' opinions regarding the use of artificial intelligence (AI) as a teammate in solving complex problems. The overarching goal of the study is to explore the effectiveness of AI as a collaborative partner in educational settings. In the study, 15 groups of grade 9 students (59 students total) were assigned a challenging…
Descriptors: Student Attitudes, Artificial Intelligence, Problem Solving, Teamwork
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Claudia Krebs; Sabine Hildebrandt – Anatomical Sciences Education, 2025
Amid the accelerating integration of digital technologies in the health professional education, anatomy education with an emphasis on engagement with real human bodies can provide a crucial counterweight to digital abstraction. Rapid advances in artificial intelligence and algorithm-driven medicine may lead to the intrinsic value of embodied human…
Descriptors: Anatomy, Experiential Learning, Human Body, Science Education
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Shani Dettman; Dawn Choo; Richard Dowell – Volta Review, 2025
Purpose: The identification of child, device, and family/environmental factors that are associated with optimum language outcomes for infants and children using cochlear implants is a high research priority. Understanding the contributions of these factors for an individual child and family may inform clinical decisions about intensity of services…
Descriptors: Assistive Technology, Deafness, Hard of Hearing, Children
Marisol Cruz Cain – US Government Accountability Office, 2025
The Department of Education's Office of Federal Student Aid (FSA) manages the Free Application for Federal Student Aid (FAFSA), which students and parents submit to determine a student's eligibility for receiving financial aid. The FAFSA Processing System (FPS)--the system that underpins federal student aid--processes these applications. In…
Descriptors: Student Financial Aid, Financial Aid Applicants, Federal Government, Federal Programs
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Quang Nhat Nguyen – TESL-EJ, 2025
This conceptual paper presents a multidimensional framework for applying affordance theory to language education, moving beyond traditional, linear models. Drawing on ecological and rhizomatic perspectives, the framework views affordances as context-sensitive opportunities for action, shaped and enacted by learners, and analyzed across five key…
Descriptors: Affordances, Models, Second Language Learning, Second Language Instruction
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Ulrich Kortenkamp; Silke Ladel; Kevin Larkin – Digital Experiences in Mathematics Education, 2025
In this article, we investigate the effects of the app "Fingu" on a child's understanding of the part-whole concept. Using the Artifact Centric Activity Theory framework, we initially analyse the internalisation and externalisation processes that appear to occur during one child's use of the app. Based on the learning from this process,…
Descriptors: Technology Uses in Education, Computer Oriented Programs, Mathematical Concepts, Educational Games
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Monica Rodriguez-Bonces; Jeisson Rodriguez-Bonces; Christopher Esposito – Journal of Second Language Acquisition and Teaching, 2025
This reflective article explores how short films may be incorporated into the World Languages Classroom to achieve the American Council on Language Teaching and Learning (ACTFL) World-Readiness Standards. Having the definition and benefits of short films as a starting point, the authors suggest a pedagogical sequence. The sequence begins with the…
Descriptors: Second Language Learning, Films, Instructional Materials, Educational Strategies
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Harikrishnan Ranganathan; Saravana Kumar; Shobha Sharma; Chua Siew Kuan; Nabilah Binti Ahmad; Kamalambal Harikrishnan; Devinder Kaur Ajit Singh – Journal of Learning for Development, 2025
Online learning has become an integral part of higher education, but many online courses fail to meet undergraduates' expectations, leading to high attrition rates. In this study, we explored physiotherapy undergraduates' (PTUGs) expectations of online courses. A qualitative study was conducted using purposive sampling among PTUGs from four…
Descriptors: Physical Therapy, Online Courses, Undergraduate Students, Allied Health Occupations Education
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Hunhui Na; K. Bret Staudt Willet; Hui Shi; Jaesung Hur; Dan He; Chaewon Kim – Journal of Research on Technology in Education, 2025
Generative AI tools, like ChatGPT, have ignited global discussions and debates about potential educational impacts. By examining initial reactions to ChatGPT shared in online spaces, this study aims to deepen understanding of opportunities and concerns related to integrating such tools into education. With the keyword "chatgpt," we…
Descriptors: Discourse Analysis, Artificial Intelligence, Social Media, Computer Mediated Communication
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Weipeng Shen; Xiao-Fan Lin; Jiachun Liu; Xinxian Liang; Ruiqing Chen; Xiaoyun Lai; Xinwen Zheng – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (GenAI) chatbots extend transformative impact in higher education. Current research requires more comprehensive evaluations of the collaborative learning fostered by students and GenAI chatbots. However, existing articles have rarely explored the dynamic process of student--AI collaboration in higher…
Descriptors: Undergraduate Students, Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication
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Jamie Vescio – Journal of the Learning Sciences, 2025
Background: While there exists a large body of research on the benefits of play in supporting children's mathematical learning, the vast majority of such research has been conducted in early childhood or informal contexts, rather than formal K-12 schools. Moreover, this research has predominantly focused on adults' perspectives of children's play.…
Descriptors: Play, Mathematics Education, Elementary School Students, Elementary School Mathematics
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