Course AI Resilience Tracker (CART) Tool
Overview | AI Decision Tree | Bloom's Taxonomy Revisited | Student Perceptions of Generative AI Tools in Online Courses | Promoting Students' AI Literacy | Course AI Resilience Tracker (CART) Tool | Practical Strategies | AI Readiness Playbook | Archive |
The Course AI Resilience Tracker (CART) tool will help you evaluate and enhance the resiliency of your course in the context of generative artificial intelligence tools. Resilient courses are flexible, adaptable, transparent, and integrate opportunities for alternative learning pathways.
At the conclusion of the activity, you will be presented with your answers and notes as well as feedback on what you have inputted; you will be able to print or save this information. OSU is not collecting or tracking any information that you input. Closing, reopening, or refreshing the page will clear all entered information.
Should you choose to complete the diagnostic activity again (e.g., for a different course or at a later date), simply begin a new session by refreshing the page or returning here to begin again.
You should anticipate spending about 15 minutes to complete the activity.
Course ID
Please enter your course ID below (e.g. CS 161)
Learning Outcomes
Think about your Course Learning Outcomes (CLOs) relative to the current capabilities of GenAI tools. Check the verbs that are used in your outcomes or verbs that are similar, then select “Test Resiliency” to evaluate how AI tools might handle common tasks associated with these verbs. You can select up to 5 verbs at a time.
Your Learners
Think about your learners. Consider the following:
- What academic program(s) do learners come from, and why do they take the course?
- What career paths do learners typically follow, and how is GenAI currently used in those fields?
- What prior knowledge, skills, and/or experiences related to GenAI will learners come prepared with? (For example, is it used in other courses?)
- What GenAI tools do learners currently have access to through the institution (tools that are free to students, include data protection, etc.)?
In the text box below, describe your learners and any details you know about their exposure to, knowledge of, and access to GenAI.
Learning Materials
How do you ensure the relevance and flexibility of your learning materials? Reflect on the approaches you currently employ. Select all that apply.
Activities and Assessments
Do specific activities, tasks, and assignments in the course articulate if, when, and how GenAI may be used?
Consider your assessment approach. Are students given multiple opportunities to demonstrate the process of learning? For example, does your course include low-stakes or formative assessments before higher-stakes, summative assessments?
Does the course employ one or more methods for promoting academic integrity in assessments, such as:
Course Policies
Does the course syllabus include a clear policy on student GenAI use?
Next Steps
Adapting courses to use or restrict GenAI tools is imperative to the effectiveness of course learning outcomes as the technology evolves and is increasingly adopted by students. Now that you have considered the current state of your course, please answer one final question about your possible next steps with that course. The selection you make below will generate considerations and resources for you as part of a final, printable summary of all of your answers.
Which of the following approaches might you take in your course going forward?
License and additional resources
This work created by Oregon State University Ecampus is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
The main artificial intelligence tools page offers more resources and guidance for online course development.
