Workshops with over 100 creative writers produced metaphors and four themes for language model governance that favor consent-driven, smaller open models encoding community values.
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Standard LLM chats produce high perceived understanding but low objective learning in students, while future-self explanations best align confidence with actual gains and guided hints maximize learning with moderate workload.
Self-reported LLM usage frequency associates more consistently with pre-instruction AI perceptions than prior education or self-rated familiarity in graduate trainees.
Proposes task-specific GenAI declaration structures for writing and coding tasks to move beyond binary disclosures in higher education.
citing papers explorer
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Seed Bank, Co-op, Stoop Swap: Metaphors for Governing Language Model Data for Creative Writing
Workshops with over 100 creative writers produced metaphors and four themes for language model governance that favor consent-driven, smaller open models encoding community values.
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Confidence Without Competence in AI-Assisted Knowledge Work
Standard LLM chats produce high perceived understanding but low objective learning in students, while future-self explanations best align confidence with actual gains and guided hints maximize learning with moderate workload.
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Engagement Intensity as a Learner-Modeling Signal for Adaptive AI Ethics Instruction
Self-reported LLM usage frequency associates more consistently with pre-instruction AI perceptions than prior education or self-rated familiarity in graduate trainees.
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Structuring Transparency: Developing Domain-Specific Generative AI Declaration Frameworks in Higher Education
Proposes task-specific GenAI declaration structures for writing and coding tasks to move beyond binary disclosures in higher education.