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References: Systems Thinking and AI in Writing

  1. Systems thinking - Wikipedia - Comprehensive overview of systems thinking as an analytical framework: its history, core concepts (elements, interconnections, feedback loops, emergent behavior), key thinkers (Forrester, Meadows, Senge), and applications to social and literary analysis.

  2. Causal loop diagram - Wikipedia - Detailed treatment of causal loop diagrams as a visualization tool for feedback systems, covering balancing and reinforcing loops, notation conventions, and how to read and construct diagrams for complex real-world situations.

  3. Generative artificial intelligence - Wikipedia - Overview of generative AI including large language models, how they are trained, their capabilities and limitations (hallucination, bias, stylistic flatness), and the emerging ethical and academic integrity questions they raise for student writers.

  4. Thinking in Systems: A Primer - Donella H. Meadows (edited by Diana Wright) - Chelsea Green Publishing - The definitive introduction to systems thinking; Meadows' clear explanations of feedback loops, stocks and flows, and system archetypes are the conceptual foundation for the causal loop diagram and systems analysis content in this chapter.

  5. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies - Erik Brynjolfsson and Andrew McAfee - W.W. Norton & Company - Influential analysis of how AI and automation are transforming work and society; its accessible treatment of AI capabilities and limitations provides essential context for the AI in writing content in this chapter.

  6. The Systems Thinker - Leverage Networks / The Systems Thinker - Articles, tools, and case studies on systems thinking principles and applications; includes accessible introductions to feedback loop analysis, unintended consequences, and the system archetypes that recur in this chapter's content.

  7. Kumu: Systems Mapping Tool - Kumu - Free web-based tool for building causal loop diagrams and systems maps; students can construct and share interactive diagrams of the feedback systems analyzed in this chapter without any software installation.

  8. MLA Style Center: Citing Generative AI - Modern Language Association - Official MLA guidance on how to cite AI-generated content in academic papers, directly supporting the AI disclosure and citation skills in this chapter's AI in Writing section.

  9. Common Sense Media: AI Literacy - Common Sense Media - Free AI literacy resources for students including lessons on how AI works, AI bias, the difference between AI-assisted and AI-generated content, and ethical use frameworks aligned with this chapter's academic integrity objectives.

  10. MIT System Dynamics Group - System Dynamics Society - Academic resources on system dynamics and feedback modeling developed at MIT; its introduction materials and stock-and-flow simulation tools support the advanced systems thinking concepts in this chapter.