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Isabella Margarethe Venter; Rénette Julia Blignaut; Desireé Joy Cranfield; Andrea Tick; Soha El Achi – Journal of Applied Research in Higher Education, 2025
Purpose: This research aims to investigate the use of conversational artificial intelligence (CAI) in academic practice through the lens of activity theory, which emphasises the mediation of human actions by tools within a social context. Additionally, it seeks to determine if and how the results of qualitative analysis differ when using…
Descriptors: Artificial Intelligence, Higher Education, Foreign Countries, College Faculty
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Izida I. Ishmuradova; Alexey A. Chistyakov; Tatyana A. Brodskaya; Nikolay N. Kosarenko; Natalia V. Savchenko; Natalya N. Shindryaeva – Contemporary Educational Technology, 2025
This investigation aimed to ascertain latent profiles of university students predicated on fundamental factors influencing their intentions to acquire knowledge in artificial intelligence (AI). The study scrutinized four dimensions: supportive social norms, facilitating conditions, selfefficacy in AI learning, and perceived utility of AI. Through…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Electronic Learning
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Nabil Hasan Al-Kumaim; Siti Hasnah Hassan; Samer Ali Al-Shami; Abdulsalam K. Alhazmi – International Journal of Technology in Education, 2025
Generative artificial intelligence (GenAI) is driving a technological revolution, significantly impacting education, with universities as primary beneficiaries. This study explores the varied use of GenAI among university users in Malaysia, examining its challenges and effects across different demographic groups. A mixed-methods approach,…
Descriptors: Foreign Countries, Artificial Intelligence, Communication Skills, Interpersonal Competence
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Muhammad Shaban Rafi; Iram Amjad – Discover Education, 2025
The arrival of Generative Artificial Intelligence (henceforth GenAI) has prompted the academic world to debate its benefits and risks for academic writing in ESL and EFL contexts. This study aims to explore the perceived usefulness and use of GenAI-assisted dissertation writing to engage in nuanced reasoning. Using non-probability sampling…
Descriptors: Artificial Intelligence, Value Judgment, Doctoral Dissertations, Writing (Composition)
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Tommaso Feraco; Elena Carbone; Giulia Cramarossa; Chiara Meneghetti – Environmental Education Research, 2025
Following indications from international organizations, this study tests the associations between the five domains of social, emotional, and behavioral (SEB) skills (self-management, innovation, social engagement, cooperation, and emotional resilience) and two key antecedents of proenvironmental behavior, namely nature connectedness and…
Descriptors: Adolescents, Interpersonal Competence, Emotional Intelligence, Self Management
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Xuefan Li; Marco Zappatore; Tingsong Li; Weiwei Zhang; Sining Tao; Xiaoqing Wei; Xiaoxu Zhou; Naiqing Guan; Anny Chan – IEEE Transactions on Learning Technologies, 2025
The integration of generative artificial intelligence (GAI) into educational settings offers unprecedented opportunities to enhance the efficiency of teaching and the effectiveness of learning, particularly within online platforms. This study evaluates the development and application of a customized GAI-powered teaching assistant, trained…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation, Academic Achievement
Steve Ventura – ASCD, 2025
Strong instructional leadership is the cornerstone of student success. But what truly makes an instructional leader effective, and how can you foster a collaborative environment where teacher teams thrive? In Improving Instruction Together, Steve Ventura draws on years of experience and research-based strategies to demystify the often-challenging…
Descriptors: Instructional Improvement, Communities of Practice, Instructional Leadership, Academic Achievement
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Wang Qiang – World Journal of Education, 2025
Currently, digital technology is becoming a leading force driving global education reform. The integration of artificial intelligence and education has brought opportunities for innovation and improvement in education. The level of AI ability of teachers and students determines the level of digitalization and intelligence in the development of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technological Literacy, Teacher Competencies
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Michelle Xin Yi Tan; Yao Qu; Jue Wang – Higher Education Quarterly, 2025
The rapid adoption of generative artificial intelligence (GenAI) in higher education has raised questions about student use, academic integrity, and institutional regulation. This study examines students' perceptions of and compliance with GenAI regulations in higher education, using a Singaporean university as a case study. Adopting a…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
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Kendall Willems; Susan J. Loveall; J. Marc Goodrich; Danika Lang – Language, Speech, and Hearing Services in Schools, 2025
Purpose: Autistic individuals often exhibit poorer emergent literacy skills (e.g., phonological awareness, print knowledge, oral language) relative to their non-autistic peers. Although emergent literacy skills are known to impact future reading success in typical development, their relationship with word recognition and reading comprehension in…
Descriptors: Emergent Literacy, Reading Skills, Young Children, Autism Spectrum Disorders
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Areen Hazzan-Bishara; Ofrit Kol; Shalom Levy – Education and Information Technologies, 2025
This study examines factors influencing teachers' intention to adopt Generative AI technologies in education by extending the Technology Acceptance Model (TAM). The proposed comprehensive model incorporates both external factors (exposure to AI information, information credibility, and institutional support) and internal factors (intrinsic…
Descriptors: Technology Uses in Education, Artificial Intelligence, Teacher Attitudes, Computer Attitudes
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Ayesha C. Penuela; Maylin P. Habaña; Ryan Michael F. Oducado; John Erwin P. Pedroso; Ernie A. Bonzo; Khen A. Tamdang – Journal of Education and Learning (EduLearn), 2025
The proliferation of ChatGPT in educational contexts and incorporating such technology into students' academic lives raise intriguing questions. Understanding the factors influencing the intention to adopt this novel technology is necessary for better integration and utilization. This study determined the correlates of intention to use ChatGPT…
Descriptors: Technology Uses in Education, Artificial Intelligence, Intention, College Freshmen
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Qianqian Wang; Zhengwei Gu; Lin Chai; Yangreng Shang; Tingzhao Wang – Journal of Research in Reading, 2025
Background: Understanding the reading ability of children with intellectual disabilities (ID) can help them improve their communication skill and cognition, but little is known about how home literacy environment (HLE) improves the reading ability of children with ID. The aim of the current study was to explore the mutual predictive relationship…
Descriptors: Family Environment, Reading Skills, Children, Mild Intellectual Disability
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Orkun Kocak; Sahin Idil – Journal of Education in Science, Environment and Health, 2025
This study is developing a Deep Learning model automating the coding of drawings students provide about climate change phenomena in our world, as a learning contribution through formative assessment. We started first with ResNet50 architecture, but ultimately, we settled on MobileNetV2 reduced architecture for the sake of being able to integrate…
Descriptors: Climate, Artificial Intelligence, Accuracy, Environmental Education
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Alanna L. Peebles; Maura N. Snyder – Communication Teacher, 2025
Higher education has witnessed a paradigm shift from the rapid rise of generative artificial intelligence (genAI). Basing its name on the television show, Are You Smarter Than a 5th Grader?, this single- class activity was designed to foster media literacy students' understanding of popular genAI tools. To compare and contrast the capabilities of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Media Literacy, Digital Literacy
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