Artificial intelligence isn’t here to replace teachers—it’s here to make their work more efficient, insightful, and impactful. At Innovation Assessments, we’ve built AI into our platform in three carefully designed ways. Each of these functions addresses a different part of the teaching cycle: preparing lessons, evaluating student work, and monitoring learning behaviors in real time.
Let’s take a closer look.
1. Teaching Assistant: Generating Prompts, Tasks, and Test Questions
Teachers often spend countless hours preparing materials: prompts for writing, comprehension tasks, practice questions, or even entire quizzes. Our AI-powered Teaching Assistant helps cut that prep time by generating high-quality starting points:
- Assessment & activity prompts: Suggests open-ended discussion questions, role-play scenarios, or practice drills tailored to your subject.
- Test question generation: Builds multiple-choice or short-answer items aligned to your chosen level and category, whether it’s social studies DBQs, French language tasks, or science practice sets.
- Adaptability: Because the generator accepts teacher input on topic, difficulty, and format, you still set the pedagogical direction—the AI just does the heavy lifting.
The result? More time to focus on pedagogy and less on busywork.
2. Grading Assistant: Scoring Short Answers and Longer Essays
Grading is where AI can provide meaningful support without ever removing teacher authority. Our Grading Assistant uses OpenAI’s models to analyze student responses and offer suggested scores or rubric-based comments:
- Short answer scoring: Provides a confidence-scaled score (e.g., full credit, partial credit) with a rationale tied to your rubric.
- Essay analysis: Surfaces structure, clarity, and argument strengths/weaknesses so you can give students faster, more targeted feedback.
- Teacher control: Every score is a suggestion—teachers make the final call. AI never replaces professional judgment.
This approach reduces turnaround time and makes it easier to give richer feedback, even on assignments with dozens of responses.
3. Proctor Function: Analyzing Student Activity in Online Apps
Digital classrooms introduce new challenges: how do you know if students are fully engaged, struggling, or even drifting off task? Our Proctor Function gives teachers insight into behavior patterns during online interactions:
- Session monitoring: Tracks student activity logs (e.g., navigation events, copy/paste, time away from page).
- Pattern analysis: Uses AI to highlight irregularities—like frequent page exits during a quiz—or flag potential academic integrity concerns.
- Formative insights: Goes beyond “cheating detection” by helping you spot disengagement, pacing issues, or moments when students may need extra support.
Think of it as a lens into classroom dynamics that’s hard to see in a virtual environment.
Why These Three?
We chose these categories—Teaching Assistant, Grading Assistant, Proctor—because together they cover the full arc of digital instruction:
- Before class (plan): generate engaging materials.
- After class (assess): provide consistent, fast feedback.
- During class (monitor): ensure students are active and supported.
Our guiding principle: AI should serve teachers, never the other way around.