Reflection & Learning

Throughout this project, our team learned that design thinking is not just about creating a polished interface. It is about understanding the problem, listening to users, testing ideas, and being willing to change the design based on feedback. At the beginning, our idea was mostly focused on creating an AI study tool that could help students answer questions. However, as we continued our research, we realized that the deeper issue was not just that students needed help with coursework. The bigger problem was that students were relying on AI too much without fully understanding what they were learning. 

One challenge our team faced was balancing AI support with independent learning. If StudyNest gave answers too quickly, it would become similar to existing AI tools and could still encourage over-reliance. But if it gave too little help, students might feel frustrated and stop using it. Because of this, we focused on adaptive support, guided hints, and reflection so students could receive help while still thinking through the problem themselves.

Our idea also changed a lot during the design process. Early on, we included many possible features, such as social learning, achievement badges, deadline reminders, AI explanations, and progress tracking. After prioritizing features and receiving usability feedback, we realized that the core experience needed to be simpler and more focused. We decided to emphasize the AI Tutor, progress tracking, and study planner because these features best supported our goal of helping students learn more responsibly with AI. 

Usability testing helped us see that even if an idea makes sense to the design team, it may not always be clear to users. For example, users wanted to better understand how StudyNest connects to Canvas, where the academic data comes from, and how the AI decides when to give hints or direct support. This taught us that transparency is important, especially when designing with AI. Users need to understand not only what the system does, but also why it behaves a certain way. 

If we had more time, we would improve the onboarding process, add clearer explanations of the AI support levels, and make the Canvas integration more transparent. We would also continue testing the AI Tutor chat because it is the main feature of StudyNest, but also the part with the most complexity. We would want to make sure it feels helpful without being overwhelming. 

Overall, this project helped us understand that good design is not only about making something look nice. It is about making intentional decisions that support real user needs. StudyNest helped us think more deeply about responsible AI design, student learning, and how technology can guide users without replacing their own thinking.