We designed an integrated task scheduler to support students struggling with planning and follow-through—especially those facing executive function challenges. Built for platform-scale deployment, it laid the groundwork for momentum-driven tools in the next-gen learning experience.
A space for users to manage their learning tasks and create new ones. They could monitor their progress and set reminders directly in the learning app to entice them back to their studies later.
Our research showed that many students were falling behind—not because of a lack of motivation, but because the platform didn’t support how they actually work. Students with executive functioning barriers struggled with planning, prioritization, and follow-through. Some used external tools, but nothing really fit the flow of online learning.
I led UX design for a personalized scheduling tool that supports students with low time/energy, high distractibility, or planning difficulties—barriers identified through GEM research and reinforced by follow-up survey data. I collaborated with a team to design an integrated task scheduler that aligned with user needs.
We defined core features that matched real study behavior: task status, flexible views (3-day, 7-day, monthly), due dates, time estimates, tags, reminders, and mobile-first functionality. I created wireframes and interaction models that made planning feel approachable—even for overwhelmed students. We tested early concepts to gather insights that fed directly into planning the next-generation learning experience.
Timeline view where learners can see all of their courses and projects progress in one place as a Gantt chart.
The scheduler addressed a key student need identified in GEM: scaffolding decision-making when cognitive resources are low. It helped students feel more in control, lowered barriers to planning, and laid the foundation for deeper personalization across the platform.
Three day view where learners can see their tasks by date, time, duration, and category.
One day view where learners can focus on the tasks for one day at a time,
Due date view where learners can view their task details within their course list by due date.
AI Assisted task scheduling and reminders were also considered for future discovery.
