1 of 7

Boosting Feedback Productivity:�AI-Driven Insights for Student Project Success

Nicole Wang

Assistant Professor of Practice

Interactive Media & Business | NYU Shanghai

2 of 7

What is Capstone Project?

Capstone Projects, usually lasting 6 months to 12 months, require students to identify a problem, conduct extensive research, and apply their knowledge to solve it, often resulting in a final presentation or prototype that embodies their academic journey.

The Culmination of Learning

Capstone is a requirement in many Universities’ curricula

3 of 7

The cost of administer capstone projects…

Busy schedules

Hard to store and retrieve files

What did we agree on?

No one takes notes…

Multiple user feedback

Hard to track evidence on progress

Expectation gap and dispute

4 of 7

  • Automated Task Management����

Goals: Streamlining Workflows

Streamlines routine tasks with calendar sync, enhancing efficiency

  • Intelligent Feedback��

Records and analyzes one-to-one meetings and student presentations, offering actionable insights and integrating them into the student database.

  • Enhanced Assessment Tools:

Automates grading processes with customizable rubrics and leverages historical data for consistency and accuracy.

  • Multimodal Data Integration and Protection with Local AI models

Extracts vital information from various file types and incorporates it into existing learning management systems without disrupting workflows.

5 of 7

Functional Prototype

(Key dates/information extracted with one click from long-text syllabus and automatically added to meeting calendars with recording functionalities)

6 of 7

Functional Prototype

Notetaking - Designed Specifically for the Higher Education Community

7 of 7

Vision: Beyond Productivity

  • Investigate the impact of AI-generated feedback on student performance compared to traditional instructor-generated feedback.
  • Bias Detection and Correction
  • AI as a mediator agent in conflict resolution: Examine the role of AI as an intermediary in resolving conflicts or misunderstandings between students and instructors. This could involve scenarios where there are discrepancies in expectations, grading disputes, or communication barriers.
  • Testing the scalability of personalized communication (for example, the effectiveness of AI in adapting communication style to fit the emotional state of the student, potentially enhancing understanding and comfort levels)