Inspire Blog Category: AI

Beyond the AI Policy: Why Students Belong in the AI Conversation

If you are an instructor you’ve likely written some version of an Artificial Intelligence (AI) policy into your syllabi. If you’re an instructional designer, you’ve probably read dozens of versions of these policies or might have helped craft one. An AI policy is an important first step in communicating to our learners what is allowed, what is not, and how AI could impact their learning. In fact, the faculty senate at Oregon State University recently voted that an AI policy on course syllabi is now required that explicitly communicates expectations for student AI use. This is a step in the right direction, but a policy alone is not enough. As we already know, many learners are actively using AI tools. … Beyond the AI Policy: Why Students Belong in the AI Conversation

AI Disclosure Matters: Closing the alignment gap between online instructors and students

In online education, transparency is foundational to high-quality learning experiences (Ecampus Essentials, 2026). Transparency about who the instructor is, how the course set-up, what tools are available, and how learning will be assessed helps students trust the learning process. The emergence of generative artificial intelligence (AI) tools in higher education raises important questions about transparency in online courses, particularly regarding instructor and student disclosure of AI use. Disclosure of AI use in online teaching and learning can be challenging for a number of reasons. First, it may be difficult to know what constitutes “use.” For example, is a Google search that resulted in an AI generated summary to gather information for course development considered “use”?  What about a student using … AI Disclosure Matters: Closing the alignment gap between online instructors and students

Whose Work Is It Anyway? Writing an AI Statement Worth Reading

Last year, as the instructional designer for a software engineering course, I knew the instructor had leaned on AI throughout the course’s development. I suggested he be transparent about it with his students. After all, he was asking the same of them. What he wrote back went further than I expected. His syllabus statement opens not with rules for students but with an accounting of his own use. He names Claude the second author of his course, separates his own contribution from what emerged from that collaboration, and only then turns to what students may do. After getting his permission, I shared it with my team. Within minutes, colleagues were asking to keep it as an example. One had just … Whose Work Is It Anyway? Writing an AI Statement Worth Reading