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Hybrid GANs with quantum blocks performed better than classical ones
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Dependency-aware synthetic tabular data better preserves feature relationships
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WorldView-Bench evaluates cultural inclusivity in large language models
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GenAI-enabled vibe coding made simulation-based curriculum redesign accessible
Discover how generative AI enables educators to create interactive simulations without coding expertise. Learn the vibe coding approach transforming management education through accessible.
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GPT-4o shows partial understanding of science and GenAI-influenced science
Study examines GPT-4o's capacity to represent the nature of science and epistemic dimensions of AI-influenced scientific knowledge production for educational contexts.
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Most K-3 teachers used AI, but worried about student use
Study of 107 K-3 teachers reveals 80% use AI for instructional materials but express concerns about student writing tasks due to developmental readiness and creativity loss.
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AI in higher education offers benefits and raises governance concerns
Explore AI's transformative impact on higher education, examining opportunities in personalized learning alongside challenges in academic integrity, bias, and institutional governance.
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Students valued an AI learning assistant but had ethical concerns
Mixed-methods evaluation of an AI learning assistant in engineering courses reveals high usability appeal but identifies ethical policy uncertainty as a key barrier to broader student engagement.
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AI changes assessment practices in management education
Qualitative study examining how AI technologies reshape assessment practices in management education, analyzing adoption patterns and organizational drivers across Sri Lankan institutions.
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Digital technologies support meaningful connections in care homes
Scoping review of 72 studies examines how digital technologies facilitate meaningful connections in care homes, identifying gaps in generative AI applications.
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GenAI matched human scoring of students’ scientific inquiry understanding
Study evaluates generative AI's capacity to assess and provide feedback on elementary students' epistemic understanding in science inquiry, demonstrating high reliability with human raters.
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Students viewed generative AI as useful but risky
Survey of 71 students reveals perceptions of generative AI as academically beneficial while raising concerns about privacy, reliability, and plagiarism, with strong commitment to integrity principles.
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AI-assisted qualitative analysis shifts from coding to dialogue
Framework replacing traditional coding with iterative dialogue between researchers and language models for qualitative analysis, grounded in hermeneutic epistemology.
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L1 teachers show moderate acceptance of generative AI
Study of 124 Dutch L1 teachers' beliefs about generative AI in language education, examining acceptance levels, concerns, and opportunities for integration in writing, linguistics, and literature.
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Article discusses AI and course objectives
How educators reimagine course objectives to emphasize human cognition, critical judgment, and creativity in response to generative AI capabilities.
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GenAI can improve consulting efficiency but raises risks
Qualitative study of German consulting firms examining how Task-GenAI Fit framework balances generative AI efficiency gains against risks like hallucinations and skill loss.
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AI and machine learning reshape international business research
Structured roadmap for integrating AI and machine learning into international business research, covering methods, applications to core IB constructs, and methodological challenges.
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Study maps how AI guardrails shape language and control
Study examines how major AI companies implement guardrails as sociotechnical control mechanisms, revealing how code and language jointly regulate discourse in large language models.
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Generative AI is reshaping accounting workflows
Systematic analysis of generative AI applications in accounting, examining workflow integration, data security considerations, and human-AI collaboration models for organizational implementation.
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Linguistic analysis is central to understanding GenAI in education
Linguistic analysis of generative AI discourse in higher education reveals how agency, evaluation, stance, and coherence constructions shape learner outcomes and disciplinary representation.