ProgramsComputer Science Capstone 2026ProjectsBuild an AI-Driven Student Feedback and Auto-Grading System

Project Title: Build an AI-Driven Student Feedback and Auto-Grading System

CapSource Technologies

Details
Project Title Build an AI-Driven Student Feedback and Auto-Grading System
Project Topics Artificial Intelligence & Machine Learning Entrepreneurship Growth Strategy Information Technology (IT) Innovation PR & Communications Product Design & Development Technology Commercialization UX/UI & Human-Centered Design
Skills & Expertise Agile methodologies AI-assisted grading Algorithm development Data analysis Data modeling Documentation Educational technology Front-end development JavaScript Machine learning Natural language processing (NLP) Needs assessment Product development Project management Prototyping Python Quality assurance Software design Stakeholder communication System testing Technical writing User research UX/UI design Wireframing
Project Synopsis: Challenge/Opportunity
CapSource Technologies specializes in providing innovative educational solutions that enhance student engagement and learning outcomes. However, one of the significant challenges they face is the lack of an integrated system for providing timely feedback on student deliverables and efficient grading processes. Currently, educators spend an excessive amount of time manually reviewing and grading submissions, leading to delays in feedback and diminishing the learning experience for students. This challenge not only affects student motivation and performance but also limits the scalability of CapSource’s educational offerings.
Project Synopsis: Activities/Actions Required
  1. Key activities for this project will include user research to identify the needs and preferences of students and educators, followed by the development of user personas and user journey maps.
  2. Students will employ agile methodologies to design wireframes and prototypes of the feedback and grading system, incorporating user feedback iteratively.
  3. They will utilize machine learning techniques to build algorithms capable of analyzing student submissions and generating feedback based on a rubric.
  4. Final activities will include user testing, system refinement, and preparation of comprehensive documentation detailing the development process and system functionality.
Project Synopsis: Expected Results
  • The expected outcomes of this project include the successful design and implementation of a functional feedback and auto-grading system, which will streamline the grading process and enhance student learning.
  • Learning outcomes for students will encompass practical experience in AI and machine learning, UX/UI design, and product development, with the goal of preparing them for careers in technology and education.
  • Business value will be realized through increased efficiency in grading, improved student satisfaction, and the potential for scalability of CapSource's educational offerings.
  • SMART goals include completing user research within the first two months, developing a prototype by month six, and achieving system testing and feedback implementation by month eleven.

Project Timeline

Touchpoints & Assignments Date Type

VIRTUAL PROJECT FARE

 Jan 22 2026, 15:00 PM Canada/Eastern (UTC-04:00) Event

Temp Check #1

 Jan 31 2026 Evaluation

Temp Check #2

 Feb 28 2026 Evaluation

Temp Check #3

 Mar 31 2026 Evaluation

Temp Check #4

 Apr 30 2026 Evaluation

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