Packback

You didn't spend years mastering your field just to become a full-time digital detective, second-guessing the authenticity of every paragraph your students turn in. Policing AI is exhausting higher education, but there is a way to trade suspicion for actual learning.

The foundation of how learning is measured is shifting. When generative AI can produce final artifacts in seconds, the final PDF stops being reliable proof of student competency. 💡We need coursework that values the student’s journey, protects the cognitive heavy lifting, and reveals their thinking process.

Join Packback CEO, Kelsey Behringer, at our upcoming interactive workshop for a conversation on how to escape the reactive surveillance cycle and build an institutional infrastructure where human curiosity and genuine learning thrive.

➡️ Register here: https://hubs.ly/Q04lGHbD0

We’ve spent 4 years arguing over how to catch AI, hoping that more control and bans would somehow repair the loss to the cognitive process. But it’s the wrong conversation. AI is here, now, and students and faculty alike are already using it. Our latest eBook helps higher ed leaders answer the questions you're wrestling with now:
🛡️How do we protect academic integrity?

🫶How do we support faculty to teach judgment, reflection, revision, and original thought?

🤖How do we prepare students for an AI-enabled future without sacrificing the skills that matter most?

Get your copy of "Human-Centered AI in Higher Education" for a deep dive into why bans don't work and how to build assignments that require Cognitive Vigilance.

The Higher Ed Guide to Human-Centered AI Download Packback’s guide to human-centered AI in higher education and learn how to protect student engagement, original thinking, and educator oversight in an AI-rich classroom.

John Warner’s latest Inside Higher Ed piece makes an important point: the value of college was never just content delivery or workforce preparation.

At its best, college helps students think, question, grow, and make meaning. In Warner’s words, it can “rearrange molecules.”

That should shape how we think about AI in higher ed. The goal can’t be faster shortcuts or more automated output, it should be deeper learning, stronger writing, and more meaningful engagement with educators still at the center.

That’s the promise of Instructional AI when it’s built for learning, not replacement.

Read the full article here: https://hubs.ly/Q04hDSbl0

AI literacy can’t live in policy documents alone. It has to show up in the assignments students actually complete.

Join Kelsey Behringer, Oliver Short, and Barbara Kenny on Wednesday, May 20 at 12pm CT / 1pm ET for Operationalizing AI Literacy Through Assignment Design, a practical conversation on how institutions can design assignments that preserve productive struggle, make student thinking visible, and support responsible AI use.

Together, they’ll share how to approach AI literacy through guided use, structured reflection, and assignment models that help students practice judgment while giving faculty clearer evidence of effort, revision, and original thought.

Register Now: https://hubs.ly/Q04h7Bs40

If AI has made one thing clear it's that final submissions don’t tell the whole story.

If we want to protect academic integrity, we need a better view into how students are thinking, drafting, revising, and engaging along the way.

That’s the idea behind visible thinking and why it’s becoming such an important part of the academic integrity conversation.

Read the blog:
https://hubs.ly/Q04gDP9R0

AI is changing what students can produce, but the real work of learning still happens in the messy middle: asking questions, revising ideas, making judgment calls, and figuring out what you actually think.

That messy middle is where students build the skills they’ll need long after an assignment is submitted. Keeping AI human-centered means designing learning experiences where AI can support that process without taking over the thinking.

Peer review has always helped students see writing as a process, and in the age of AI, that process matters even more.

When polished output is easier to produce, instructors need ways to make student thinking, revision, and judgment visible. Peer review gives students a structured opportunity to read critically, respond thoughtfully, and revise with purpose.

In our latest blog, Maela Mead explores why peer review belongs in the future of writing instruction and why it’s essential for helping students build the skills AI can’t replace.

Read the full post: https://hubs.ly/Q04fDjVX0

We are always thrilled to see Packback making a meaningful impact on student learning!

From helping students use AI responsibly to strengthening their writing through Deep Dive assignments, it is exciting to see how educators are integrating into their classrooms.

Students aren’t always using AI the way we assume they are.

In our new eBook, The AI Trust Gap in Higher Ed, we surveyed 691 students about generative AI, academic integrity, and how AI is shaping the learning experience.

One finding: 82% said they are not using AI to write full assignments.

But the bigger story is what students believe their peers are doing, and how that perception is affecting trust in the classroom.

Request the eBook to see the full story: https://hubs.ly/Q04f2lQz0

Curious how originality can become part of the learning process, not just the final check?

With Packback Originality, students get visibility into their work before they submit. From citation support to writing feedback and AI detection, it helps students improve in real time while giving instructors deeper insight into authenticity.

Because originality is not just about catching issues. It is about helping students learn, reflect, and grow through their writing.

Learn more: https://hubs.ly/Q04cNG-q0