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Lisa Swindull – Journal of the American Academy of Special Education Professionals, 2025
This paper aims to inform other practitioners working with students with autism spectrum disorder about how to create and implement activity schedules for use in schools. This paper includes a review of research regarding the effectiveness of activity schedules on on-task behavior and the ability to transition. Creating these schedules has been…
Descriptors: Students with Disabilities, Autism Spectrum Disorders, Scheduling, Activities
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Yucheng Chu; Peng He; Hang Li; Haoyu Han; Kaiqi Yang; Yu Xue; Tingting Li; Yasemin Copur-Gencturk; Joseph Krajcik; Jiliang Tang – International Educational Data Mining Society, 2025
Short answer assessment is a vital component of science education, allowing evaluation of students' complex three-dimensional understanding. Large language models (LLMs) that possess human-like ability in linguistic tasks are increasingly popular in assisting human graders to reduce their workload. However, LLMs' limitations in domain knowledge…
Descriptors: Artificial Intelligence, Science Education, Technology Uses in Education, Natural Language Processing
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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Tatiana M. Lebedintseva; Andrey V. Nikitin; Anna M. Vasilieva; Olga Yu Dmitrieva; Valery A. Filippov – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2025
The emergence of artificial intelligence and neural networks creates a significant potential for automating an increasing number of business processes of large, small, and medium-sized businesses in various sectors of the economy. The financial sector, education, medicine, retail trade, and transport are the most promising from the point of view…
Descriptors: Artificial Intelligence, Technology Uses in Education, Labor Market, Automation
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Yuan Yang; Miao Xu; Bo Gong; Le Yang; Yuan Zang – Education and Information Technologies, 2025
Despite the growing demand for technological literacy and critical thinking in higher education, traditional pedagogical methods often fail to fully engage students in developing these essential skills. Science fiction presents an underutilized yet promising tool for addressing this gap. This study investigates the impact of Science fiction on…
Descriptors: Science Fiction, Technological Literacy, Critical Thinking, Higher Education
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Yasemin Darancik; Erdal Kaçar; Aise Sezik – Education and Information Technologies, 2025
The aim of this study is to examine the anxiety levels of prospective German teacher candidates in the face of rapid developments in artificial intelligence applications. Participants (n = 136) from the Department of German Language Teaching were included in the study. The 16-item Artificial Intelligence Anxiety Scale (AIAS) developed by Wang and…
Descriptors: Foreign Countries, Preservice Teachers, Anxiety, Artificial Intelligence
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Hakan Akçay; Elif Sekmen – International Journal of Research in Education and Science, 2025
The aim of this study is to investigate the effects of the flipped classroom model on the academic success and 21st century skills of middle school students in the unit of systems in our body. The study was conducted with 6th grade students studying in a state school in Istanbul. In the study, an applied study was conducted with two experimental…
Descriptors: Flipped Classroom, 21st Century Skills, Middle School Students, Grade 6
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Jingwen Sun; Qing Wu; Zhiji Ma; Wennan Zheng; Yongbin Hu – Educational Technology Research and Development, 2025
Generative Artificial Intelligence (GAI) has received widespread attention recently, influencing teacher education in various ways. However, there is little discussion on pre-service teachers' behavioral intention towards GAI. Therefore, this study employs subjective norm, AI self-efficacy, facilitating conditions, and trust to expand the…
Descriptors: Preservice Teachers, Artificial Intelligence, Student Attitudes, Technology Uses in Education
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Miray Tekkumru-Kisa; Jennifer Richards – Journal of Research in Science Teaching, 2025
Taking the "practice turn" in K-12 science classrooms requires students to engage in processes of knowledge building, constructing explanatory accounts of natural phenomena. To support students in these sensemaking opportunities, a significant departure is needed from how science is typically taught in many classrooms. Teachers will need…
Descriptors: Science Teachers, Science Education, Science Instruction, Teaching Methods
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Yaping Yan; Jie Zhang – European Journal of Education, 2025
This study examines the impact of academic resilience on the engagement of Chinese as a foreign language (CFL) pre-service teachers amid the disruption caused by generative AI (GenAI). Using the Conservation of Resources theory as a foundation, we suggest that resilience helps reduce vulnerabilities by influencing how GenAI is perceived--either as…
Descriptors: Preservice Teachers, Language Teachers, Second Language Instruction, Chinese
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Connor M. Barnes; Stefan Djordjevic – History Teacher, 2025
Since the release of ChatGPT, concerns about artificial intelligence (AI) and its capabilities and impact on education at all levels have been voiced by instructors in disciplines ranging from computer science to composition to history. This article explores two specific examples from the University of Illinois Urbana-Champaign (UIUC) that provide…
Descriptors: Technology Uses in Education, Experiential Learning, Undergraduate Study, History Instruction
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Siyi Wang; Yongxiang Wang – European Journal of Education, 2025
Cognitive and affective factors play crucial roles in shaping learners' attitudes towards generative artificial intelligence (GenAI). However, the synergistic influence of language attitude and emotions, including foreign language enjoyment (FLE) and foreign language classroom anxiety (FLCA) on struggling EFL learners' GenAI attitudes remains…
Descriptors: Second Language Learning, English (Second Language), Anxiety, Artificial Intelligence
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Yang Wang – Technology, Pedagogy and Education, 2025
Learning engagement is a key indicator of online learning. Given that interpretable learning engagement analysis method with multimodal data is to be explored, a multimodal data supported learning engagement analysis method was proposed and validated in this study. Specifically, 179 students' behavioral, posting, and facial expression data during…
Descriptors: Online Courses, Learner Engagement, Student Behavior, Nonverbal Communication
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Sara Torre; Antonio Ulloa Severino; Maria Beatrice Ligorio – Technology, Knowledge and Learning, 2025
In the case of training programs for workplace settings, design customization can help trainers to better address trainees' needs and, at the same time, it can help them build a sense of competence and autonomy. This is particularly difficult when trainees are skeptical because of former failing training experiences. The case study presented here,…
Descriptors: Foreign Countries, Case Studies, Job Training, Work Experience
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Kavitha Krishnan; Vazhayil Peedikayil Joshith; Shana Chittakath; Sashi Ranjan – Journal of Education and Learning (EduLearn), 2025
Massive open online courses (MOOCs) have gained rising popularity as a transformative approach to making education accessible to a global audience. This bibliometric review aims to map the evolving landscape of MOOCs research from 2008 to 2023, analyzing 2,026 Scopus-indexed articles using VOSviewer 1.6.20. The findings highlight a publication…
Descriptors: MOOCs, Educational Research, Bibliometrics, Educational Technology
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