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Jiahui Luo; Chrysa Pui Chi Keung; Hei-hang Hayes Tang – Assessment & Evaluation in Higher Education, 2025
This study uses the concept of dilemmatic space to unpack the complexities of teachers' work when it comes to assessing students in the GenAI age. A key idea of dilemmatic space is that dilemmas are not 'out there' but constructions based on individuals' priorities, knowledge and values. Therefore, studying what teachers perceive as 'dilemmatic'…
Descriptors: Artificial Intelligence, College Faculty, Student Evaluation, Computer Uses in Education
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Christine E. Bell; Oana Birceanu – Advances in Physiology Education, 2025
One of the identified points of confusion and a barrier to students using generative artificial intelligence (GenAI) is knowing what their professor would consider appropriate use of GenAI in a classroom setting or course framework. This creates points of friction for instructors and students as they try to navigate an ever-changing landscape,…
Descriptors: Scaffolding (Teaching Technique), Artificial Intelligence, Physiology, Pharmacology
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Amosi Waruwu; Humaizi; Dewi Kurniawati; Tunggul Sihombing – Educational Process: International Journal, 2025
Background/purpose: The main problem addressed in this study is the challenge of enhancing public service efficiency and transparency in North Nias Regency, an area with significant geographical and infrastructural limitations. This research was conducted to investigate how human resource education can facilitate the transformation of public…
Descriptors: Foreign Countries, Public Service, Government Employees, Inservice Education
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Francesca Borgonovi; Elodie Andrieu – Journal of Adolescence, 2025
Introduction: As technology progresses, individuals will be increasingly expected to solve digital tasks. At the same time, many worry that a high use of connected devices will reduce young people's ability to perform with accuracy long cognitively challenging tasks online. Methods: We examine whether 15-year-old students' ability to accurately…
Descriptors: Internet, Adolescents, Problem Solving, Computer Use
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Khalida Parveen; Abdulelah A. Alghamdi; Nagwan Abdel Samee; Muhammad Shafiq – Journal of Educational Computing Research, 2025
As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Foreign Countries
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Margaret C. Hoffman – Journal of Extension, 2025
Immersive 360 technologies are increasing equity and inclusion, learning motivation, and engagement of students in many educational disciplines. Extension stakeholders could also benefit from the use of this technology in educational settings. The affordability and ease of use adds a tool to the Extension repertoire to interest and engage…
Descriptors: Extension Education, Computer Simulation, Computer Uses in Education, Tourism
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Lin Chang; Hui Zhang – Psychology in the Schools, 2025
Technoference, the disruptions in parent-child communication caused by parental mobile device overuse, has been linked to academic burnout in adolescents. However, the specific effects of technoference on adolescent academic burnout remain underexplored. This study, based on family systems theory, expectation violation theory, and the conservation…
Descriptors: Parent Child Relationship, Telecommunications, Handheld Devices, Adolescents
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Michael W. Kessinger, Editor; Gera S. Nelson, Editor; Lesia Lennex, Editor; Kimberely Fletcher Nettleton, Editor – IGI Global, 2025
The role of AI in education is slowly growing. As a new technology, its uses and capabilities have not been fully realized or understood. AI provides many opportunities as well as challenges for supporting students, teachers, and skills development. However, from higher education faculty to preschool teachers, the ways in which AI can support…
Descriptors: Artificial Intelligence, Educational Change, Technology Integration, Educational Policy
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Eiman Negm – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study investigates the significant determinants that lead different work-field employees to develop intentions to enroll in educational programs that use artificial intelligence (AI). Venkatesh's (2000) technology acceptance model 3 (TAM3) is the foundation for the proposed research model in the current study, presenting a complete…
Descriptors: Work Based Learning, Artificial Intelligence, Computer Uses in Education, Intention
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Thomas Rogers; Mike Carbonaro – Journal of Teaching and Learning, 2025
This paper explores the distinctions and connections between AI literacy and AI fluency, drawing parallels with the historical development of other literacies such as computer literacy and digital fluency. The paper argues that while AI literacy focuses on understanding and evaluating AI technologies, AI fluency represents a higher-order…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Multiple Literacies, Computer Uses in Education
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Huiling Liu – Decision Sciences Journal of Innovative Education, 2025
This study leverages the digital sticky note feature in Zoom's whiteboard to provide students with opportunities to gain a better understanding of supply chain management through engagement and hands-on experience in a synchronous online class. The activity was implemented within an online graduate course in Operations and Supply Chain Management…
Descriptors: Business Education, Online Courses, Graduate Students, Videoconferencing
Scott Cameron; Carmel Mesiti; Paul Fijn – Mathematics Education Research Group of Australasia, 2025
Generative Artificial Intelligence (GenAI) chatbots provide teachers with opportunities to enhance their expertise by exploring topics relevant to their practice. However, studies have raised concerns about ChatGPT's mathematical accuracy. This pilot study evaluated ChatGPT's Pedagogical Content Knowledge (PCK) and Content Knowledge (CK),…
Descriptors: Artificial Intelligence, Pedagogical Content Knowledge, Mathematics Education, Computer Uses in Education
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John Michael D. Aquino; Leah E. Perez – Journal of Learning for Development, 2025
Opportunities and challenges in the integration of Artificial Intelligence (AI) in education require thorough exploration, particularly in the context of Open and Distance Learning (ODL). This study examines faculty members' perceptions of AI's role, opportunities, and the challenges faced in its implementation to develop policy recommendations.…
Descriptors: Teacher Educators, Teacher Attitudes, Artificial Intelligence, Computer Uses in Education
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Alexandros Tsichouridis; Stelios Xinogalos; Apostolos Ampatzoglou – Journal of Educational Computing Research, 2024
Teaching and learning programming, and especially Object-Oriented Programming (OOP), is a complicated and challenging task. Students have to comprehend various OOP concepts and utilize them for designing object-oriented programs. Various types of educational programming environments, such as microworlds and educational games, have been devised for…
Descriptors: Programming, Computer Uses in Education, Educational Resources, Computer Science Education
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Wen Cheng; Pham Ngoc Thien Nguyen; Nhan Duc Nguyen – Education and Information Technologies, 2024
This study aimed to explore the effects of active social network usage (ASNU) and passive social network usage (PSNU) on academic performance. Using a survey sample of 621 high school students in Taiwan, the results showed that PSNU did not associate with learning results, whereas ASNU may have its function on students' learning. Specifically,…
Descriptors: Social Networks, High School Students, Academic Achievement, Social Media
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