Syllabai

At 20, I was diagnosed with ADHD, prompting a reevaluation of my approach to schoolwork. Like many students, I find identifying where to start and actually sitting down to complete assignments overwhelming.

I started to think, what if we could use artificial intelligence to create these prioritized task lists based on student's syllabi and learning styles?

During an interview, I learned about the Master Syllabus, a comprehensive document consolidating students' syllabi by day, date, class, tasks, and deadlines, often customized by the accessibility services office and taking about two hours per student.

I began to think about the impact of automating this process using frameworks I learned from an introductory artificial intelligence course.

I interviewed over 30 students to learn about their processes and frameworks for completing their coursework. As part of these interviews I had students draw what they believed the app should look like which helped understand how students visually organize information and what features they would find helpful within the app.

I conducted a thematic analysis of my research notes from my interviews and focus groups, in addition to labeling sketches that students created during my interview sessions. Through this analysis I was able to gauge important features, visual design elements, and settings for users to have within the app.

I then used this data to start developing some sketches and paper prototypes for the apps main interface. I brought these sketched concepts to my senior seminar class for some feedback. I used this information to further develop one of my concepts into the digital design of the interface using Figma.

Finally, I created a brief promotional video for the app. Check it out below!