Academic Integrity and Generative AI Flex скачать в хорошем качестве

Academic Integrity and Generative AI Flex

An engaging session on navigating academic integrity in the era of generative AI. This teach-in will explore the ethical challenges and opportunities AI presents in academic literacy disciplines. Presenters will also offer concrete teaching and communication strategies for addressing academic integrity violations. We'll discuss: Critical Inquiry: How to guide students in evaluating how knowledge is constructed within disciplines and critiquing AI-generated content. Bias and Representation: Insights from scholars like Muldoon and Wu on how AI perpetuates Eurocentric and hegemonic narratives, marginalizing diverse perspectives. Practical Strategies: Active learning activities, such as guiding students to identify gaps in AI outputs and develop research questions. Tools for Analysis: Leveraging Anna Mills’ critique templates to assess AI-generated text for clarity, bias, accuracy, and relevance. Policy and Pedagogy: Strategies for fostering students' individual voices, promoting process-oriented assignments, and using reflective writing to discourage reliance on AI tools.