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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
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
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
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
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
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
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
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
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
M. V. Ambagts-van Rooijen; J. M. H. J. Beelen; R. J. Coelen – European Journal of Higher Education, 2025
To date, participation in an international classroom has been positioned as a means to prepare most Dutch higher education students to live and work in a globalised world. Nevertheless, it is not clear how the international classroom is defined and how lecturers should be equipped to deliver on its potential for Internationalisation at Home,…
Descriptors: Foreign Countries, Student Diversity, College Students, College Faculty
Rana Saeed Al-Maroof; Ragad M. Tawafak; Waleed Mugahed Al-Rahmi; Khadijah Amru Alhashmi; Ibrahim Yaussef Alyoussef – Contemporary Educational Technology, 2025
Despite the spread of artificial intelligence (AI) tools and applications, the Apple Vision Pro (AVP) stands out for its innovative features compared to other types of wearable technology. Moreover, traditional glasses have been deficient in incorporating many AI innovations that could enhance user experiences and pose new challenges. In response…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Foreign Countries
Minna Peltopuro – European Journal of Education, 2025
This study explores the perspectives of professionals working with children on the impact of digital device use in schools on health and learning. A survey was conducted among 62 experts, including doctors, psychologists, and opticians, to determine safe daily limits for time spent on digital devices for different age groups. The results suggest…
Descriptors: Technology, Handheld Devices, Children, Young Children
Shujoy Chakraborty; Dirk Loyens; Jeremy Aston – Open Education Studies, 2025
This research explores the impact of generative artificial intelligence (GenAI) on ideation and concept design of social robots capable of undertaking sustained long-duration human-robot interaction. The work reported here was developed between 2021 and 2024 through classroom teaching executed in four editions of 3-day project workshops involving…
Descriptors: Artificial Intelligence, Robotics, Man Machine Systems, Cues
Tippawan Meepung – Higher Education Studies, 2025
This study aimed to develop and evaluate the effectiveness of the LADEC model in promoting future skills among undergraduate learners. The research objectives included: (1) analyzing the components of the LADEC model; (2) designing and implementing the model; (3) comparing the effectiveness of the LADEC model with the DTP model; and (4) assessing…
Descriptors: Constructivism (Learning), Computer Simulation, Higher Education, Skill Development
Kristin Morgan – Texas Journal of Literacy Education, 2025
Effective phonemic awareness instruction is essential for early literacy development, yet teachers often seek additional support in designing structured, engaging, and standards-aligned lesson plans. Generative AI (GenAI), such as ChatGPT Plus, is a promising tool for assisting educators with lesson creation. This study explores the effectiveness…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Phonemic Awareness

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