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Dilobar M. Mavlyanova; Sherzod Sh. Axmedov; Meerimai Zh. Karbekova; Dmitry S. Andreev – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2025
Digitalization of university education in countries of Central Asia influences the satisfaction of the region's citizens' needs for knowledge and skills that are required in the quickly globalizing world. A high level of knowledge and practical skills, their accessibility, the openness of digital universities and teachers, flexibility of the…
Descriptors: Foreign Countries, Values, Universities, Global Approach
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Hasan Zuhtu Okulu – Education and Information Technologies, 2025
Recent advancements in generative artificial intelligence for visualization offer significant opportunities to develop instructional materials. These opportunities can benefit astronomy education, which frequently relies on visual aids like representations. This document analysis study investigates ChatGPT-4o's capabilities for creating and…
Descriptors: Artificial Intelligence, Instructional Materials, Visual Aids, Astronomy
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Ziqing Peng; Yan Wan – Education and Information Technologies, 2025
What makes students prefer to self-disclosure to AI teaching assistant (AI TA) than human teaching assistants? Understanding this question can help online learning platforms better understand students' needs in the data collection stage to provide more appropriate recommendations and deploy AI and human-AI collaboration more effectively. Based on…
Descriptors: Teaching Assistants, Artificial Intelligence, Student Attitudes, Self Disclosure (Individuals)
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Joanna Blahopoulou; Silvia Ortiz-Bonnin – Education and Information Technologies, 2025
Today, there is no doubt that Artificial Intelligence (AI) presents both opportunities and challenges in higher education. This study examines three key areas: (1) students' use of ChatGPT, (2) their perceptions of its benefits and costs, and (3) the differences in attitudes toward AI integration in higher education between ChatGPT users and…
Descriptors: Student Attitudes, Undergraduate Students, Artificial Intelligence, Technology Uses in Education
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Reem AbdElkareem Alomoush – Issues in Educational Research, 2025
This study aims to identify the challenges faced by primary school teachers when implementing blended learning and to suggest the most important ways to overcome them. It also explores the impact of variables such as gender, academic qualification, and years of experience, on these challenges. A descriptive approach was adopted, and a…
Descriptors: Foreign Countries, Blended Learning, Elementary School Teachers, Technology Integration
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Yu Xiong; Shengyi Chen; Ting Cai; Lulu Chen; Jun Li – International Educational Data Mining Society, 2025
Teacher gesture recognition aims to identify and interpret teacher gestures within academic settings. It has been applied in domains such as teaching performance evaluation, the optimization of online education, and special needs education. However, the background similarity of teacher gestures, the inter-class similarity, and the intra-class…
Descriptors: Artificial Intelligence, Natural Language Processing, Nonverbal Communication, Classroom Communication
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Liang Tang; Nigel Bosch – International Educational Data Mining Society, 2025
Feature engineering plays a critical role in the development of machine learning systems for educational contexts, yet its impact on student trust remains understudied. Traditional approaches have focused primarily on optimizing model performance through expert-crafted features, while the emergence of AutoML offers automated alternatives for…
Descriptors: Artificial Intelligence, Design, Trust (Psychology), Student Attitudes
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Anurata Prabha Hridi; Muntasir Hoq; Zhikai Gao; Collin Lynch; Rajeev Sahay; Seyyedali Hosseinalipour; Bita Akram – International Educational Data Mining Society, 2025
Social interactions among classroom peers, represented as social learning networks (SLNs), play a crucial role in enhancing learning outcomes. While SLN analysis has recently garnered attention, most existing approaches rely on centralized training, where data is aggregated and processed on a local/cloud server with direct access to raw data.…
Descriptors: Privacy, Peer Relationship, Online Courses, Social Networks
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Maciej Pankiewicz; Yang Shi; Ryan S. Baker – International Educational Data Mining Society, 2025
Knowledge Tracing (KT) models predicting student performance in intelligent tutoring systems have been successfully deployed in several educational domains. However, their usage in open-ended programming problems poses multiple challenges due to the complexity of the programming code and a complex interplay between syntax and logic requirements…
Descriptors: Algorithms, Artificial Intelligence, Models, Intelligent Tutoring Systems
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Fan Yang; Jill E. Stefaniak – Educational Technology Research and Development, 2025
In this study, Q methodology was employed to explore instructional designers' perceptions of integrating ChatGPT in their design practices. Compared with traditional survey-based instruments that rely heavily on Likert-scale items, open-ended questions, interviews, or focus groups, Q methodology has the potential to systematically reveal and study…
Descriptors: Instructional Design, Technology Integration, Artificial Intelligence, Teacher Attitudes
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Mehmet Emrah Kuru; Mustafa Yunus Eryaman – Educational Policy Analysis and Strategic Research, 2025
This systematic review examines the extent to which educational policy and practice in Turkey are informed by research evidence. Drawing on national and international literature, the review explores the theoretical foundations of evidence-based policymaking, the current status of research-informed policy in Turkey, and the challenges faced in…
Descriptors: Educational Policy, Educational Practices, Evidence Based Practice, Foreign Countries
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Terrell L. Strayhorn – Journal of College Student Development, 2025
Data from 296 college students were analyzed to examine their use and perceptions of artificial intelligence (AI) tools. A diverse sample across different academic majors reported relatively pervasive use of AI tools. Almost 80% reported using voice assistants such as Alexa, Google, and SIRI. Nearly three-fourths reported using ChatGPT, one of the…
Descriptors: College Students, Student Attitudes, Artificial Intelligence, Technology Uses in Education
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Lingxi Li; Jana Patricia M. Valdez; Yingqiao Du – International Journal of Child Care and Education Policy, 2025
Users of technology are becoming younger over the years. Although the current generation of young children is often referred to as "digital natives," this designation primarily reflects their intuitive engagement with digital tools rather than a comprehensive understanding of their responsible use. In contrast, fostering balanced,…
Descriptors: Citizenship Education, Early Childhood Education, Ethics, Information Security
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Yuxing Cai; Sha Tian – Education and Information Technologies, 2025
The rise of Generative AI (GenAI) tools, such as ChatGPT, is transforming translators' information-seeking behavior (ISB), traditionally centered on web search. This study compares student translators' ISB in web-based and GenAI-driven contexts using a literature-informed ISB analytical framework, developed from a systematic review of existing ISB…
Descriptors: Translation, Web Sites, Artificial Intelligence, Technology Uses in Education
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Nathan Strange – BU Journal of Graduate Studies in Education, 2025
Many K-12 schools, including those in Manitoba, Canada, have implemented cell phone bans to reduce distractions in the classroom, but these measures often fail to improve student focus and can negatively impact learning, and school-community relationships. Instead of bans, schools can adopt balanced cell phone policies with designated usage times,…
Descriptors: Foreign Countries, Elementary Secondary Education, Telecommunications, Handheld Devices
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