Artificial Intelligence Tools
Advancing meaningful online teaching in the AI era
At Oregon State University Ecampus, we approach generative and agentic artificial intelligence (AI) as both a challenge and an opportunity for online education. We ground our recommendations for course design and teaching in principles that advance student and faculty success. Explore the framework, tools, and examples below to find what you need and choose your next move.
Redesign activities and assessments
Examine what your activities ask students to do, and confirm that your assessments accurately capture student progress.
Bloom's Taxonomy revisited
Determine where to emphasize distinctive human skills and where AI can supplement learning at each cognitive level.
AI assessment examples library
Adapt assessment examples built by OSU Ecampus instructional designers and contributing instructors. Filter by discipline, Bloom's Taxonomy level and scope of AI integration.
Six practical moves to support AI-resilient courses
Our research-based framework, Six Essential Pedagogical Moves for Online Education in the AI Era, offers a holistic view of considerations and practical steps for ensuring course quality and academic integrity in the AI era.
Ecampus offers a full suite of faculty-facing tools and practical resources that align to and support the Six Moves framework. Browse and access these tools by Move below.
1 Evaluate and revise outcomes
Revisit course and module outcomes with AI in mind.
AI decision tree
Identify if AI use is appropriate in a course context.
Bloom's Taxonomy revisited
Distinguish between distinctive human skills and AI-assisted skills.
2 Create and reinforce course policies
Add or improve the clarity of policy language.
Syllabus guidance
Review Oregon State policies and AI syllabus statement guidelines.
Course AI Resilience Tracker (CART) tool
Analyze a course for AI resilience, step-by-step.
3 Guide AI literacy
Shape how students think about and use AI.
Online student perceptions of AI
Review research about what OSU students have to say about AI.
Student AI literacy
Offer your students a generative AI primer from OSU's AI Literacy Center.
4 Motivate students
Support engagement and self-determination.
Motivating online students
Read a selection about how to support online student motivation.
5 Refine assessments and rubrics
Design meaningful tasks in which human learning is measurable.
AI assessment examples library
Explore assessment examples from Ecampus instructional designers and instructors.
Course AI Resilience Tracker (CART) tool
Identify assessment strengths and weaknesses in the AI era.
6 Review, reflect and revise
Iterate as tools and evidence change.
Course AI Resilience Tracker (CART) tool
Review a course holistically for AI resilience and identify possible improvements.
More AI resources
Explore these resources to help shape course development and program assessment.
AI guidelines for course development
Apply these standards when considering use of AI in course development.
AI resilience playbook
Use this structured self-assessment to support AI resilience at the program level.
Course AI Resilience Tracker (CART)
Evaluate and enhance the resilience of your course with targeted recommendations based on our learning outcomes, learning materials, activities and assessments.
Foundations
Our recommendations are based on seven principles of responsible AI use.
The seven principles behind our AI recommendations
- Be student-centered – Decisions to use an AI tool in course development work or in student-based online activities should be centered on whether it provides significant benefit to student learning and whether any risks in using it can be mitigated adequately.
- Demonstrate transparency – If there’s a desire to use AI tools to support course development work, stakeholders’ approval should be requested in advance. If AI tools are being integrated into student activities or assignments or used in other functions related to teaching, we will recommend that faculty are clear in the syllabus that such tools would be used.
- Promote quality and practice integrity – When AI tools are used, we will ensure that the information provided is vetted by professionals who would be well-versed in whether the information is accurate and credible. If AI tools are used in student assignments, we will work with course developers to ensure that accuracy is considered as part of the work.
- Safeguard privacy and security – When AI tools are used in any capacity in course development, there will be attention paid to ensuring that personal data is protected and that users are aware of any security risks associated with using the tool(s).
- Mitigate bias – When AI tools are used, we should assess to the best of our ability whether there might be risk of biased information being produced and determine how to address this.
- Ensure access – When AI tools are required in a course, they should be available and accessible to all users.
- Establish accountability – Regardless of how or whether AI is used, emphasize that the human author is accountable for all content produced.
