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Mary Kalantzis; Bill Cope – Harvard Educational Review, 2025
In this supplement to the reprint of "A Pedagogy of Multiliteracies: Designing Social Futures," Mary Kalantzis and Bill Cope revisit the foundational ideas of the New London Group thirty years after the article's publication. They explore how the multiliteracies framework has evolved over time in response to changes in technology, media,…
Descriptors: Multiple Literacies, Social Media, Artificial Intelligence, Justice
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Lei Deng – International Journal of Web-Based Learning and Teaching Technologies, 2025
As science and technology advance rapidly, video semantic understanding (VSU) technology has made significant strides. This technology has garnered widespread recognition within the music industry and piqued the interest of film and television music creators. In the realm of film music creation, VSU technology serves as a powerful tool,…
Descriptors: Video Technology, Artificial Intelligence, Films, Television
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Becky Tyler; Toni Sawhill – Journal of Faculty Development, 2025
Artificial intelligence (AI) is transforming education, offering tools that enhance learning, streamline instruction, and personalize student engagement. As AI adoption grows, faculty must develop competencies in using these tools effectively and ethically. This article explores strategies for faculty development, ethical considerations, and AI…
Descriptors: Technology Integration, Artificial Intelligence, Faculty Development, Ethics
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Gideon Dishon – Educational Philosophy and Theory, 2025
This paper examines visions of AI-personalized learning through an analysis of Neal Stephenson's Science Fiction Novel 'The Diamond Age'. While contemporary discourse is often characterized by deterministic visions of AI-based personalization as a panacea to the homogenization and standardization of mass schooling, the novel presents a more…
Descriptors: Artificial Intelligence, Individualized Instruction, Science Fiction, Novels
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Niklas Humble – European Journal of Education, 2025
Artificial Intelligence (AI) has been highlighted as a potentially disruptive force across several industries and in higher education. Research has suggested that education and upskilling of citizens should adopt a broad approach, not only focusing on experts, for better nationwide AI readiness. This study investigates the content of AI policies…
Descriptors: Higher Education, Educational Policy, Artificial Intelligence, Universities
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Yanchao Yang; Zhe Shi; Yilin Wang; Yang Lu – Turkish Online Journal of Educational Technology - TOJET, 2025
As China joined the World Trade Organization (WTO) and its national strength continued to grow, enthusiasm for learning Chinese has been heating up globally. Chinese language education has gradually integrated into the education systems of more countries, becoming a significant focus of attention and study. However, despite the increasing demand…
Descriptors: Artificial Intelligence, Chinese, Second Language Learning, Oral Language
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Mark A. Runco – Journal of Creative Behavior, 2025
This article examines theories which suggest that authentic learning requires creativity. The connection between creativity and learning has been recognized for quite some time. Several of the theories examined herein are decades old. The older theories include Piaget's and Dewey's, and less obviously the humanistic theory of self-actualization.…
Descriptors: Authentic Learning, Creativity, Brain, Artificial Intelligence
Imre Fekete – Multilingual Matters, 2025
This book explores the concept of artificial intelligence (AI) literacy within higher education, addressing both instructors' and students' preparedness to engage with AI technologies responsibly and effectively. By synthesising existing frameworks and empirical studies, alongside presenting two original research studies, the book bridges…
Descriptors: Artificial Intelligence, Higher Education, Foreign Countries, Technology Uses in Education
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Sarin Sok; Kimkong Heng; Mengkorn Pum – SAGE Open, 2025
Recently, there has been a plethora of studies about students' attitudes toward the use of artificial intelligence (AI) technologies in education, particularly in higher education and language education; however, research on AI use in high school settings has gained relatively little attention, leaving a huge research gap in the literature. This…
Descriptors: Foreign Countries, High School Students, Student Attitudes, Artificial Intelligence
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Matthew S. Johnson – ETS Research Report Series, 2025
The rapid proliferation of artificial intelligence (AI) in educational measurement presents both transformative opportunities and complex ethical challenges. This paper articulates foundational principles for the responsible integration of AI in measurement and learning, drawing on established guidelines set forth by leading organizations such as…
Descriptors: Artificial Intelligence, Educational Assessment, Ethics, Sustainability
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Ayatallah Mohamed Ali – Higher Education Quarterly, 2025
Artificial Intelligence (AI) is gaining global attention due to its potential benefits in various sectors, primarily the education sector. Egypt is gradually realising the importance of such integration; however, there is limited research on the AI readiness levels of stakeholders, particularly in Higher Education (HE). This research aims to…
Descriptors: Artificial Intelligence, College Faculty, Readiness, Foreign Countries
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Benny G. Johnson; Rachel Van Campenhout; Bill Jerome; María Fernanda Castro; Rodrigo Bistolfi; Jeffrey S. Dittel – International Journal of Artificial Intelligence in Education, 2025
The integration of formative practice questions with textbook content is a well-known method for increasing student learning, and recent advances in artificial intelligence have made automatic question generation a viable option for scaling this learning method to thousands of textbooks. To expand this method to even more students, a parallel…
Descriptors: Foreign Countries, Artificial Intelligence, Spanish, Textbook Content
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Meng, Huijuan; Ma, Ye – Educational Measurement: Issues and Practice, 2023
In recent years, machine learning (ML) techniques have received more attention in detecting aberrant test-taking behaviors due to advantages when compared to traditional data forensics methods. However, defining "True Test Cheaters" is challenging--different than other fraud detection tasks such as flagging forged bank checks or credit…
Descriptors: Artificial Intelligence, Cheating, Testing, Information Technology
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Hsu, Yu-Chang; Ching, Yu-Hui – TechTrends: Linking Research and Practice to Improve Learning, 2023
Generative artificial intelligence (GenAI), such as ChatGPT, has taken the world by storm. ChatGPT attracted 1 million users in 5 days and 100 million users in 2 months since its launch in November 2022. In this first article of a two-part series, we discuss the overall dynamic frontier of GenAI, its potential uses and benefits in education,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits
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Birks, Daniel; Clare, Joseph – International Journal for Educational Integrity, 2023
This paper connects the problem of artificial intelligence (AI)-facilitated academic misconduct with crime-prevention based recommendations about the prevention of academic misconduct in more traditional forms. Given that academic misconduct is not a new phenomenon, there are lessons to learn from established information relating to misconduct…
Descriptors: Artificial Intelligence, Cheating, Student Behavior, Prevention
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