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Marlene Steinbach; Johanna Fleckenstein; Livia Kuklick; Jennifer Meyer – Journal of Computer Assisted Learning, 2025
Background: Providing students with information on their current performance could help them improve by stimulating their reflection, but negative feedback that saliently mirrors task-related failure can harm motivation. In the context of automated scoring based on artificial intelligence, we explored how feedback on written texts might be…
Descriptors: Student Motivation, Academic Achievement, Low Achievement, Feedback (Response)
Angela Gunder – WICHE Cooperative for Educational Technologies (WCET), 2025
This report reviews leading AI literacy frameworks through the lens of WCET's Policy and Practice Framework. Analyzing 50+ resources and highlighting three key frameworks, it offers actionable insights across the dimensions of AI governance, operations, and pedagogy. Rather than recommending a single model, it advocates for remixing openly…
Descriptors: Artificial Intelligence, Technological Literacy, Governance, Technology Uses in Education
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Bhibul Hongthong; Thada Jantakoon; Somsuk Trisupakitti – Higher Education Studies, 2025
Virtual reality (VR) technology has emerged as a promising educational tool in medical training, offering immersive learning experiences that address traditional limitations in medical education. However, comprehensive evidence regarding VR's overall effectiveness across diverse medical education contexts remains fragmented. To systematically…
Descriptors: Literature Reviews, Meta Analysis, Computer Simulation, Medical Education
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Szu-Yu Ruby Chen – Technology in Language Teaching & Learning, 2025
As technology becomes increasingly integrated into educational settings, computer-assisted translation (CAT) tools are gaining recognition as valuable aids in language learning. This study introduces "Termsoup", a CAT application, as a tool to support learners in bridging the gap between disciplines or subject areas within English for…
Descriptors: English for Special Purposes, Writing Skills, Translation, Computer Uses in Education
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Afeez Jinadu; Eugenia Okwilagwe – International Journal of Research in Education and Science, 2025
The study investigated the structural equation modelling of nine variables consisting of research undertaking, digi-tech construct (digital nativity, category of adoption of digital technologies, digital literacy, digital citizenship, statistical software anxiety, self-efficacy and knowledge) and researcher statistical software skills in the…
Descriptors: Statistical Analysis, Computer Software, Structural Equation Models, Foreign Countries
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Liping Chen – International Journal of Web-Based Learning and Teaching Technologies, 2025
In the evolving landscape of vocal pedagogy, ttehe integration of computer-assisted technologies represents a transformative shift from traditional master-apprentice models. This study investigates the efficacy of computer-assisted vocal training methods compared to conventional approaches, focusing on improvements in pitch accuracy, vocal range…
Descriptors: Computer Assisted Instruction, Singing, Music Education, Educational Technology
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Sophie Ward; Teti Dragas; Laura Mazzoli Smith; Kirsty Ross; Zhijing Miao – Teaching in Higher Education, 2025
In this paper, we identify the use of Digital Storytelling (DS) as a mode of pedagogy aligned with an ethics of care. We consider how DS, as summative assessment, may foreground care ethics such as attentiveness, responsiveness, and trust. Our interest in this topic stems from our concern over the impact on staff and students of the massification…
Descriptors: Education Majors, Computer Mediated Communication, Story Telling, Ethics
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Xiumei Hu; Yitong Jiang; Yunxuan Sun; Ziwei Xu; Fang Zheng; Xiaoyi Hu – Journal of Special Education Technology, 2025
Autistic children have significant difficulties in recognizing and labeling emotions, difficulties which may hinder the natural development of their ability to express and regulate further emotions. The purpose of this study was to evaluate the effect of an augmented reality emotion recognition program (ARERP) delivered in a group format on the…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Computer Simulation, Emotional Response
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Anuradha Peramunugamage; Uditha W. Ratnayake; Shironica P. Karunanayaka; Ellen Francine Barbosa; William Simão de Deus; Chulantha L. Jayawardena; R. K. J. de Silva – Journal of Learning for Development, 2025
Interactions among students in online learning environments are difficult to monitor but can be crucial for their academic performance. Moodle is one of the best and most popular online learning platforms, where its log records can reveal important information on students' engagement and the respective performance. This study examines the degree…
Descriptors: Cooperative Learning, Interaction, Electronic Learning, Learning Management Systems
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Carolyn Fitzpatrick – Journal of Faculty Development, 2025
In the rapidly evolving landscape of higher education, the clarity, measurability, and alignment of course objectives are more critical than ever. Effective course design hinges on well-defined learning objectives that guide both instruction and assessment. However, creating these objectives can be a daunting task for faculty, especially when…
Descriptors: Educational Change, Educational Objectives, Higher Education, Alignment (Education)
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Xing Hu; Wen Gong – Education and Information Technologies, 2025
Amid the growing interest in generative AI technologies like ChatGPT for educational purposes, this research seeks to better understand Chinese EFL learners' acceptance and usage of them for L2 writing purposes. This study conducts an investigation by establishing a structural equation model that incorporates the Technology Acceptance Model (TAM)…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Software, Technology Integration
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Rong Yaojun; Kizito Tekwa – Education and Information Technologies, 2025
Research on using generative artificial intelligence (GenAI) chatbots in learning environments continues to underpin research in and out of academia. However, GenAI text-to-video (T2V) models have not been adequately investigated in academia, mostly due to their novelty. That means their potential to improve learning remains to be determined. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Captions, Video Technology
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Nese Dokumaci Sütçü; Tugba Örnek – Journal of Theoretical Educational Science, 2025
The aim of this study was to examine the potential effect of intelligence games on the problem-posing skills of mathematics teachers. The research, in which case study, one of the qualitative research methods, was preferred, was conducted with two mathematics teachers enrolled in the Mathematics Education Master's Program with Thesis at a state…
Descriptors: Game Based Learning, Problem Solving, Mathematics Teachers, Masters Programs
Oliver Matthews – Graduate Management Admission Council, 2025
Generative artificial intelligence (GenAI) has become a commonly used technology on campuses by students, faculty, and administrators. Research indicates that more programs and schools are teaching artificial intelligence (AI)-related concepts, but relatively few have comprehensive policies governing AI use on campus--and there is a significant…
Descriptors: Artificial Intelligence, Business Education, Computer Uses in Education, Business Schools
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Haibin Sun; Tingting Liu – Higher Education Studies, 2025
To address existing challenges in teaching theoretical mechanics and enhance instructional quality, the teaching team implemented innovative reforms. Guided by a "student-centered" philosophy and powered by digital intelligence technologies with "Chaoxing" AI as the engine, the course reconstructed a three-dimensional objective…
Descriptors: Educational Change, Educational Innovation, Mechanics (Physics), Student Centered Learning
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