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Sarah Prestridge; Kym Fry; Eun-Ji Amy Kim – Technology, Pedagogy and Education, 2025
The broad approach to using Generative AI in K-12 schooling focuses on identifying risks and productivity gains rather than the more complex issues of transformational change. As a response, this study examined how school leaders considered Gen AI transformation within their disciplines. Ten subject leaders were interviewed about their pedagogical…
Descriptors: Teacher Attitudes, Secondary School Teachers, Artificial Intelligence, Computer Software
Ying Zhang – Novitas-ROYAL (Research on Youth and Language), 2025
Second language acquisition (SLA) in English can be revolutionized by artificial intelligence (AI) because it can provide personalized learning methods for learning English. Although AI has made advancements in this area, the standard SLA systems that are familiar with often fail to provide real-time, personalized feedback that can enhance…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Educational Technology
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
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
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
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)
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
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
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
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
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
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
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
Chih-Hung Wu; Vu Tran Ho – Education and Information Technologies, 2025
The present study investigated the potential of ChatGPT in enhancing the learning outcomes and engagement. Data were gathered from a survey of 687 university personnel and higher education students who utilized ChatGPT for educational purposes. The conceptual framework of the study was validated and analyzed using partial least squares structural…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits, Learner Engagement

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