eSpark
We designed and engineered a system that required students to complete teacher-assigned lessons before moving on, transforming assignments from optional to essential. This shift not only highlighted the value of differentiated instruction, but also supported our AI-powered Teacher Assistant by ensuring its recommendations were acted on. The result was a smarter, more intentional learning path powered by thoughtful UX and responsive, classroom-informed engineering.
The Problem
Teachers were creating meaningful assignments, but students were bypassing them through the self‑guided adaptive path (“set it and forget it”). This undermined efforts around differentiation and our new AI‑powered Teacher Assistant. Plus, teachers lacked quick, actionable visibility into student performance, rescheduling needs, and commonly missed questions.
How might we
Teacher Interviews & Classroom Testing
Spoke with more than 8 teachers across different grade levels. We observed firsthand how they assign, monitor, and adapt in real time.
Iterative Prototyping
From early wireframes to polished mockups, we tested features like lock indicators, inline buttons, and dynamic scoreboards in real classroom environments.
Insight | Design Response |
---|---|
Students felt confused by invisible blocks | Added grayed adaptive cards with tooltips and lock icons |
Teachers needed to act fast on reassignment or rescheduling | Added inline “Reassign” and “Reschedule” buttons in tracker |
Lack of clarity around who struggled and why | Built score tier visuals and surfaced most commonly missed questions |
We delivered two interconnected updates:
22%
increase in assignment usage from teachers within six weeks
17%
increase in differentiated assignments across students
Time
Teachers reported significant time savings and better classroom control
AI
Reinforced the value proposition of our AI Assistant