Problem
- Our sponsor’s current educational workflow relies on static resources and asynchronous methods, offering limited interactivity and personalization. Key issues include a lack of real-time support, minimal engagement, delayed feedback, and inconsistent progress tracking, which hinder student learning and motivation. This results in a disconnect between students and their classes, making it difficult for them to access the personalized help they need.
Solution
- To address the challenge of students feeling under-supported academically, TutorTech is proposed as a web application designed to provide real-time, personalized learning resources that go beyond what is typically available in the classroom. Through features such as interactive AI assistance, progress tracking, and tailored feedback, TutorTech will give students the academic support they need, in a format that adapts to their individual learning needs.
Motivation
- TutorTech addresses academic under-support by giving students immediate, personalized help. It streamlines learning, reduces the academic burden, and promotes deeper engagement through an AI-driven, interactive approach. This solution improves efficiency, saves time, and enhances both student and teacher experiences.
The initial concept for this project was provided by our sponsor, in the form of a Capstone project proposal.
To visit the initial capstone project proposal, click here.