The debate over halting artificial intelligence (AI) development stems from fears of malicious exploitation and potential emergence of destructive autonomous AI. While acknowledging the former concern, this paper argues the latter is exaggerated. True AI autonomy requires education inherently tied to ethics, making fully autonomous AI potentially…

Knowledge tracing (KT) models predict how students will perform on future interactions, given a sequence of prior responses. Modern approaches to KT leverage "deep learning" techniques to produce more accurate predictions, potentially making personalized learning paths more efficacious for learners. Many papers on the topic of KT focus…

Evaluating the performance of Large Language Models (LLMs) is a critical yet challenging task, particularly when aiming to avoid subjective assessments. This paper proposes a framework for leveraging subjective metrics derived from the class textual materials across different semesters to assess LLM outputs across various tasks. By utilizing…

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,…

The aim of the present study is to examine the effect of COVID-19 victimization experience (CVE) on university students' academic behaviors, which has not received sufficient attention in current research. Based on the job demands-resources model, which claims that insufficient resources and high demands can result in burnout, the present study…

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,…

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…

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…

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…

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…

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.…

Background/purpose: Threshold theory posits that a certain minimum level of intelligence, the "threshold," is essential for creativity to emerge. Beyond this level, the influence of intelligence on creativity diminishes. This study investigates the relationship between creativity and intelligence scores among exceptionally gifted,…

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…

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…

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…