What an AI teaching assistant does for college faculty
Faculty spend most of the week on work that happens outside the classroom. They prepare sessions, write questions, mark against rubrics, write feedback and keep an eye on who is struggling. An AI teaching assistant produces the first draft of that routine work so faculty can put their time into the parts that call for judgment.
What separates one AI teaching assistant from another is where the drafting stops. The AcademicOS Copilot drafts and suggests, and faculty review, change and approve. AI drafts are marked and need a person’s approval, so nothing the Copilot produces reaches a learner until a faculty member has signed it off.
Four ways the AI Teaching Copilot helps
There are four kinds of teaching work the Copilot covers.
Plan
For each session, the Copilot suggests lesson plans, activities and examples aligned to that session’s outcomes. You begin with a draft plan already aimed at what learners should be able to do by the end, and you change anything that does not suit your class. Our AI lesson plan generator page walks through the full planning workflow.
Assess
The Copilot drafts questions and rubrics at a chosen difficulty for faculty to review. You set the difficulty, look over each question and keep or adjust the rubric before anyone uses it. Because rubrics map to course and program outcomes, your marking ties back to what the course is meant to achieve. Our rubric generator page covers rubric drafting in more detail.
Feedback
Written feedback takes a lot of teaching time, and learners value it highly. The Copilot acts as an AI feedback generator under faculty control. It suggests feedback for each submission, which you accept, edit or discard. Learners only see AI feedback after a faculty member has approved it, so what they read sounds like their teacher.
Insight
The Copilot alerts you early to learners who are falling behind, while help can still make a difference. Its signals come from course activity in AcademicOS. Faculty receive the notice and choose the response, whether that is a message, a meeting, extra material or no action at all.
Early notice, not a verdict
Spotting at-risk students early is one of the oldest problems in teaching. A learner has often been behind for weeks by the time a mark reveals it. Early alert systems in higher education generally try to get a concern about a student’s progress to someone who can help while there is still time.
Insight in the Copilot covers one part of that job. It gives the faculty member teaching the course early notice of learners who are falling behind. If your institution is evaluating student retention software or a student early warning system, think of Insight as the signal from the teaching side, separate from a campus-wide retention program. This page does not cover how Insight notices might be shared with advisors or other offices.
Every notice follows two rules:
- It is about progress in the course. The Copilot never infers a learner’s emotions, personality or intent.
- A person decides. Faculty receive the notice. The Copilot never contacts the learner, changes a mark or opens a case by itself.
Every suggestion stays in faculty hands
Faculty will only rely on an AI teaching assistant they trust, and that trust depends on knowing exactly where the AI stops.
What the Copilot does: it suggests lesson plans, activities, examples, questions, rubrics and feedback, and it gives early notice of learners who may need help.
What the Copilot never does:
- Send a learner feedback that faculty have not accepted or edited.
- Publish questions, rubrics or lesson material without faculty approval.
- Grade, sanction or act on a learner by itself.
- Judge a learner’s character, emotions or intentions.
The person who teaches the course remains the one who decides. This also makes the Copilot useful as AI feedback for teachers themselves. You can read a suggested comment, disagree with it and write your own, and the decision stays with you.
A week with the AI Teaching Copilot
This is how an AI teacher assistant fits into a normal teaching week:
- Before the first class. You open the next session, look over the suggested lesson plan and activities, replace one example with your own and approve it.
- Midweek. You ask for five questions at a set difficulty on this week’s outcome, keep three, rewrite one and drop one, then adjust the rubric.
- After submissions come in. You read each submission next to its suggested feedback. Comments that fit are accepted, ones that need your voice get edited and the ones that miss the point are discarded.
- End of the week. The early notices show two learners have fallen behind. You message one and set up a short meeting with the other.
You keep the work that needs your judgment and hand off the first drafts.
What to look for in an AI assistant for teachers
When you compare AI teaching assistants for a department or institution, put these questions to every tool, ours included:
- Is it tied to your outcomes? Are plans, activities and questions aligned to each session’s outcomes, or are they generic?
- Can you set the difficulty? Can faculty request questions and rubrics at a stated level?
- Who sends the feedback? Does feedback reach learners only once a faculty member accepts or edits it?
- What does early notice mean? Is it based on course progress, and does it go to faculty instead of setting off automatic action?
- Does it work with what you have? Can you run it beside your current LMS?
- Does it connect to the rest of the course? Are its outcomes the same ones the course was designed around and the exam will test?
If an AI teaching copilot answers these well, it saves time and keeps academic decisions with faculty.
Where the Copilot fits in AcademicOS
- Courses are designed in Studio, our AI course creator, which maps every item to course outcomes and Bloom’s levels. During the term the Copilot plans and assesses against session outcomes, and your team decides with us how Studio’s outcome map carries into the Copilot.
- AskOS, our chatbot for education, picks up routine questions about deadlines and policies so they stay out of your inbox.
- Courses run on the AI-powered learning management system built into AcademicOS or on your current LMS.
- Once the course is ready for assessment, the Proctorly Examination module takes over. The same outcomes feed its question bank, the exam is proctored and results return to the same record.
Every AcademicOS product shares sign-in and data, so you can begin with the Copilot and add the others later.
Frequently asked questions
What does an AI-powered teaching assistant do?
It produces first drafts of routine teaching work. The AcademicOS Copilot suggests lesson plans, activities and examples aligned to each session’s outcomes, drafts questions and rubrics at a chosen difficulty, suggests feedback on submissions and gives early notice of learners who are falling behind. Faculty review and decide on each suggestion before learners see anything.
Does the Copilot grade learners?
No. It suggests feedback on submissions, and faculty accept, edit or discard each suggestion. The Copilot never grades, sanctions or acts on a learner by itself, and the questions and rubrics it drafts go to faculty for review. Every mark and every piece of feedback a learner receives remains the responsibility of the faculty member teaching the course.
How does early notice of learners falling behind work?
The Copilot tells faculty early when learners are falling behind, while there is still time to help. Faculty receive the notice and decide whether and how to act. It covers course progress only. The Copilot never infers emotion, personality or intent, and it does not act on a learner unless a person has decided to.
Can we use the AI Teaching Copilot without the AcademicOS LMS?
Yes. AcademicOS runs alongside your current systems and you can start with a single product. The Copilot works with courses on the AcademicOS LMS, or you can keep your current LMS and use AcademicOS next to it. Let us know which LMS you use and we will explain how the Copilot would fit with it.
How is the Copilot different from AskOS?
The Copilot is a faculty tool. It helps plan sessions, draft questions and rubrics, suggest feedback and identify learners who need help. AskOS answers learner and faculty questions about courses, deadlines and policies from your own documents, shows the source and passes requests that need a person to staff. Many institutions use both, and they share sign-in and data.