Assignments That Invite AI Into the Process
Level 3 assignments focus on students revising, reflecting, and collaborating using AI tools. The final output is primarily student-led, with AI serving as a collaborative partner in the learning process.
Level 3 assignments emphasize student ownership while incorporating AI as a collaborative tool. Students engage in an iterative process where they maintain creative control while leveraging AI to enhance their work and develop critical evaluation skills.
Students work through multiple drafts, using AI feedback to improve their work.
Students maintain creative control and decision-making throughout the process.
Students document AI interactions and reflect on how they shaped their work.
Students begin with their own ideas and create a first draft independently.
Students engage with AI tools for feedback, suggestions, or to explore alternatives.
Students critically evaluate AI input, make revisions, and reflect on the process.
Consider implementing Level 3 AI collaboration assignments when your course objectives include any of the following:
Faculty Tip: Level 3 assignments work best when students have clear guidelines for how to document their AI interactions and specific criteria for evaluating the effectiveness of their collaboration with AI tools.
Implement these strategies to create effective Level 3 assignments
Require students to maintain a log of their AI interactions, including prompts used, responses received, and decisions made about incorporating AI suggestions.
Ask students to explain why they accepted or rejected specific AI suggestions, encouraging them to develop criteria for evaluating AI contributions.
Build in opportunities for students to reflect on how AI collaboration affected their learning process and final product compared to working independently.
Evaluate both the final product and the documented process, including how effectively students engaged with AI tools and applied critical thinking to their work.
Empower students to work with AI as a collaborative tool while developing critical thinking and digital literacy skills
Ready-to-use across disciplines
For various learning styles
Ready-to-use statements
Designed for any discipline and course level, with examples from Psychology, Biology, Math, and more.
Four adaptable rubric models (analytic, reflective, contract, and comparative) plus feedback tools to make grading efficient.
Cultivates essential student skills in evaluating AI-generated content while emphasizing transparency and ethical engagement.
Over 6 distinct feedback tools including feedback ladders, plus/delta reflections, self-assessment scorecards, and peer AI use audits.
Students develop a research proposal on social media's impact, using AI for clarity and coherence while ensuring original content. They submit original and AI-assisted drafts with a reflective commentary.
Students write a lab report on an experiment, using AI to improve clarity and organization without altering scientific accuracy. They submit original and AI-enhanced drafts with a reflective commentary.
Students solve a problem set, then use AI to review their steps, identify errors, and explore alternate approaches, reflecting on the process.
This library offers different rubric models (analytic, reflective, contract, comparative) for assessing AI-collaborative assignments. They focus on evaluating the integration of AI and student work, revision quality, student voice, and ethical transparency.
A worksheet for students to track and document their use of AI tools during an assignment, promoting transparency and ethical engagement.
Structured protocols to guide meaningful group discussions and reflections after assignments that may have involved AI tools, collaboration, or creative exploration.
Have students generate an AI draft alongside their own, then compare both during peer review sessions to identify strengths and weaknesses.
Students can generate AI summaries of sources, then critically evaluate and revise these summaries for their annotated bibliographies.
Encourage students to use AI as a writing coach, documenting the feedback received and reflecting on how they implemented or challenged it.
Level 3 assignments help students revise thoughtfully, engage ethically with AI, and reflect on their writing process. They emphasize transparency, student ownership, and metacognition.
By incorporating AI collaboration into assignments, students develop critical digital literacy skills while learning to leverage AI as a tool rather than a replacement for their own thinking. These assignments create opportunities for students to: