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Andrew Kwok-Fai Lui; Sin-Chun Ng; Stella Wing-Nga Cheung – Interactive Learning Environments, 2024
The technology of automated short answer grading (ASAG) can efficiently process answers according to human-prepared grading examples. Computer-assisted acquisition of grading examples uses a computer algorithm to sample real student responses for potentially good examples. The process is critical for optimizing the grading accuracy of machine…
Descriptors: Grading, Computer Uses in Education, Educational Technology, Artificial Intelligence
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Arantes, Janine Aldous; Vicars, Mark – Qualitative Research Journal, 2023
Purpose: The purpose of this paper is to examine how automation in the ever-changing technological landscape is increasing integrated into, and has become a significant presence in, our personal lives. Design/methodology/approach: Through post qualitative inquiry, the authors provide a contemplation of automation and its effect on creativity, as a…
Descriptors: Automation, Creativity, Computer Mediated Communication, Interaction
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Charlotte Dumont; Marie Belenger; Arnaud Destrebecqz; Mikhail Kissine – Developmental Science, 2025
Statistical learning refers to the ability to detect regularities from sensory input, including speech. Statistical learning plays a key role in language acquisition, particularly for complex structures, such as nonadjacent dependencies, that are ubiquitous in natural language syntax. This study investigates nonadjacent dependency learning in…
Descriptors: Bilingualism, Autism Spectrum Disorders, Children, English (Second Language)
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Paraskevi Triantafyllopoulou; Jessie Newsome; Winnie Tsang; Michelle McCarthy; Karen Jones – Journal of Applied Research in Intellectual Disabilities, 2025
Background and Aims: The internet and social media are increasingly accessible to people with intellectual disabilities, offering significant benefits but also posing unique challenges and risks. This study aimed to explore the online experiences of adults with intellectual disabilities in England. Methods: An accessible survey was conducted from…
Descriptors: Internet, Social Media, Intellectual Disability, Adults
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Antonios Kafa – International Journal of Educational Management, 2025
Purpose: The rapid digitalization and emergence of AI tools are transforming school organizations. However, limited research exists on how school leaders integrate these technologies into their leadership practices. This study focuses on the experiences of school leaders in Cyprus, exploring the benefits and challenges of adopting digital and AI…
Descriptors: Artificial Intelligence, Computer Uses in Education, Elementary Schools, Secondary Schools
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Sarah Burriss; Blaine Smith; Amanda Yoshiko Shimizu; Melanie Hundley; Emily Pendergrass; Ole Molvig – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
Generative artificial intelligence (AI) models are increasingly able to produce and combine sophisticated text, image, and audio. These advancements are challenging composers and teachers, as they work to reimagine and resist ways that composition and creative work are changing. This paper reports on one analysis in a larger study on multimodal…
Descriptors: Ethics, Artificial Intelligence, Writing (Composition), Computer Uses in Education
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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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