Brown DLD Faculty Guides

Steps to Modify Assignments to Be More AI-Resilient

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  1. Define learning objectives: Start by listing the desired skills or knowledge students will gain from doing the assignment. We recommend using the Transparent Assignment Design Template (attached at the bottom of this page) by Mary-Ann Winkelmes to guide this process.
  2. Identify the tasks required to complete the assignments. Evaluate how each task aligns with the learning objectives defined in step 1.
  3. Prioritize essential tasks: Distinguish between essential tasks that directly support the learning objectives and non-essential tasks. Decide if you'll allow students to use AI tools for non-essential tasks, and if so, build these into your assignment guidelines. Alternatively, you may decide to remove them in favor of emphasizing critical tasks.
  4. Integrate AI-Resilient traits: Using the following questions as a guide, identify opportunities to integrate AI-resilient features into your assignments. Keep in mind that incorporating even one of these criteria can enhance the AI resilience of your assignment; there is no need to implement all of them.
    1. Process-oriented: Are there opportunities for students to submit drafts or prototypes earlier, either for peer review (particularly helpful in large classes), or to the instructor or TAs? If not, can they reflect on their progress at various checkpoints and submit these to see evidence of their evolving work and thought process?
    2. Project-based: Could you adapt the assignment to be part of a project-based assignment that requires multiple stages of development, allows for divergent and/or creative solutions, and promotes student ownership of the work?
    3. Authentic: Could the final product be diversified to include more authentic outputs (e.g., infographic, poster, business plan)?
    4. Multimodal: Would it be appropriate for this assignment to allow for various product formats, while keeping the performance evaluation criteria the same?
    5. Personal Relevance and Meaning: Are there ways students could incorporate personally meaningful experiences or motivators into the assignment?
    6. Experiential: Could students engage with people, organizations, or communities to add practical experiences and insights into their work?
    7. Reflective and metacognitive: Could a reflective component be incorporated, where students discuss their learning process, the evolution of their thoughts, or the study strategies they used?
  5. Revise assignment instructions: Update the assignment instructions to reflect the AI-resilient features you added. Describe the purpose and value of the assignment to students' learning and/or goals.
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