Inspire Blog Tag: AI

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
by · September 8, 2026

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
by · August 10, 2026

Students Don’t Want AI Bans—They Want a Seat at the Table

Many educators are grappling with questions about AI detection. Yet, AI detection tools are unreliable, biased, and distressing. False positives can harm students’ academic standing and well-being, with marginalized groups often disproportionately affected, while detectors still miss significant portions of AI-generated text (Lurye, 2025; Encouraging Academic Integrity, 2025; Hirsch, 2024). And detection tools assume students simply copy and paste AI outputs, when in reality many use these tools more fluidly–taking suggestions, rewriting, or iterating through prompts–making their work indistinguishable from original writing. As one student noted, “it’s very easy to use AI to do the lion’s share of the thinking while still submitting work that looks like your own…” (Terry, 2023). What Students Want Most students believe institutions should address … Students Don’t Want AI Bans—They Want a Seat at the Table
by · November 25, 2025

Meet Agentic AI: Implications for Academic and Learning Integrity

Over the past few years, Higher Education (HE) has been called to action in response to the rise of Generative Artificial Intelligence (GenAI) tools. As Artificial Intelligence (AI) becomes more autonomous and capable, proactive steps are needed to preserve academic and learning integrity. This article will explore tangible strategies educators can apply to their unique program and course contexts. Only slight adjustments may be necessary to support learning processes and capture evidence of learning, as changes will build upon the excellent work that is already occurring. Initially, the focus in HE was on understanding the potential impact these tools would have on teaching and learning. Awareness of GenAI capabilities, limitations, and risks has been acknowledged with great care. Today, the … Meet Agentic AI: Implications for Academic and Learning Integrity
by · June 25, 2025

Augmenting Course Development with Generative AI: A Self-Assessment

This post is adapted from a panel talk for AI Week, Empowering OSU: Stories of Harnessing Generative AI for Impact in Staff and Faculty Work This past spring marked one year in my role as an instructional designer for Ecampus. Like many of our readers, I started conversing with AI in the early months of 2023, following OpenAI’s rollout of ChatGPT. Or as one colleague noted in recapping news of the past year, “generative AI happened.” Later, I wrote a couple of posts for this blog on AI and media literacy. A few things became clear from this work. Perhaps most significantly, in the words of research professor Ethan Mollick: “You will need to check it all.” As the range … Augmenting Course Development with Generative AI: A Self-Assessment
by · July 15, 2024