generative ai

Bringing a HASS lens to work-integrated learning: Australian contexts, challenges, opportunities

This paper examines Work-integrated Learning (WIL) as a pedagogy within Humanities, Arts and Social Sciences (HASS) learning and teaching. It examines WIL as an important strategy for ensuring that the university is contemporary, connected, and engaged with the realities of the rapidly changing nature of work. WIL has...

Leveraging Generative AI for Personalized Career Guidance: A Hybrid Approach Using XGBoost, KNN, and LLMs

Moral and legal resilience influencing the professionalism of future history teachers: a statistical dimension

Background History teachers transmit sociocultural norms, requiring high ethical-legal stamina. This study verifies an extracurricular program cultivating future teachers’ moral-legal resilience to prevent adolescent deviance. Methods This sequential-cohort longitudinal study (2021–2025 admissions) evaluated “Teacher T...

AI Empathy as a Human Disposition in Generative AI Interaction: Development and Preliminary Psychometric Evaluation of a Cognitive–Affective–Motivational Scale

Preliminary psychometric evidence is provided for a proposed multidimensional human disposition relevant to behavioral research on human–AI interaction; confirmatory, behavioral, and cross-context validation remains necessary.

The association between generative AI use and university students’ critical thinking: a moderated mediation model of GenAI feedback literacy and reflective thinking

Generative artificial intelligence (GenAI) has rapidly become an everyday learning resource for university students, yet evidence on whether such use is associated with stronger or weaker critical thinking is sharply divided. Recent work documents both cognitive scaffolding and “metacognitive laziness” effects, suggest...

AI-supported assessment in online learning: a Chinese- and English-language systematic scoping review and evidence map of computational approaches, assessment-use impact, and technical validation

This systematic scoping review and evidence map examined computational approaches, assessment-use impact, publication-language patterns, and technical validation evidence in Chinese- and English-language reports published from 1 January 2020 to 31 May 2026, finding that the literature is dominated by Medium-impact diag...

Identity Negotiation in AI Styling Interactions on Short-Video Platforms

After generative AI entered everyday decision-making, how algorithmic aesthetic evaluation affects the identity construction of young users has become a question worth attention. This study adopts content analysis and examines 109 interaction units from 15 AI styling videos on short-video platforms. The findings show t...

Accuracy and Error Patterns of Generative AI on the Korean National Dental Hygienist Licensing Examination Across Prompt Engineering Strategies

Objective: This study aimed to compare GPT-4o accuracy across five prompt engineering strategies using items from the Korean National Dental Hygienist Licensing Examination and to examine differences by question domain and type. Methods: A total of 399 items from the 2024-2025 examinations were classified by domain (Ba...

Artificial Intelligence in Music Education

Abstract Music education exists at the intersection of philosophy, psychology, and praxis, and the emergence of artificial intelligence (AI) has introduced both opportunities and challenges in these domains. This chapter examines the integration of AI in music education, analyzing its influence on pedagogical approache...

AI-Driven System for Automated Generation and Evaluation of Multiple-Choice Questions

The results showed that the BankGen-generated MCQs are curriculum-related, aligned with learning outcomes, and free from spelling and grammatical errors, indicating that BankGen can reduce the effort required to evaluate and improve MCQs.

Artificial Empathy? AI’s Role in Amplifying (or Erasing) Queer Identities in Music Education

Abstract This chapter interrogates how generative and data-driven artificial intelligence (AI) reshape the conditions of visibility for queer youth in music education. Drawing on queer pedagogy, it frames AI as a cultural text whose training data and interfaces encode cis/heteronormative assumptions that can misrecogni...

Automating knowledge work while preserving human judgement: Chat Everywhere and AI-mediated learning platforms in the automated economy

This article uses Chat Everywhere as a case through which to examine how generative artificial intelligence platforms can automate parts of knowledge work while keeping consequential judgement under human responsibility. In this AI co-created article, the human author provided the case material, interview-based informa...