AI-Powered Virtual Teaching Assistant

Transforming education with AI.

Business Challenges

Key challenges include integrating the AI TA with Kellogg’s Canvas LMS for seamless data exchange, fostering discussions, supporting Q&A, and facilitating collaborative learning. The assistant must organize materials, aid in grading, and manage scheduling per Kellogg’s academic structure. Utilizing Azure for scalability, incorporating NLP and machine learning, and designing an intuitive interface on Canvas DL are essential. Tailoring the assistant to Kellogg’s needs and ensuring compliance with privacy regulations and university policies are also critical.

Our Approach

We developed a comprehensive Virtual Teaching Assistant (TA) for Northwestern University’s Kellogg School seamlessly integrated with their Canvas LMS. The solution supports discussions, Q&A sessions, and collaborative learning while also organizing materials, aiding in grading, and managing scheduling. Leveraging Azure for scalability and advanced AI technologies like NLP and machine learning, we ensured enhanced professor-student interactions. The intuitive interface is accessible via Canvas DL, tailored to meet Kellogg’s unique academic needs, and compliant with privacy regulations and university policies.

Key Takeaways

  • Up to 18% better student engagement and compliance
  • Up to 22% reduction in assignment submission delays
  • Up to 15% increased bandwidth for educators and faculty
  • Up to 20% enhancement in collaborative learning experiences
  • Up to 30% faster access to academic resources
  • Up to 35% increase in response accuracy during Q&A sessions
  • Up to 40% more effective data management and integration
  • Up to 50% reduction in administrative workload for professors
  • Up to 28% improvement in overall student satisfaction with course support

Use Case

Kellogg School needs a Virtual TA integrated with Canvas LMS to streamline data exchange, facilitate discussions, support Q&A, and promote collaborative learning. The TA should organize materials, aid in grading, and manage scheduling per academic structure. Utilizing Azure for scalability and advanced AI for improved interactions is crucial. An intuitive Canvas DL interface tailored to Kellogg’s needs ensuring compliance with privacy and policies is essential.

Results

  • Automated Optimization: Reduced time and resources needed for teaching assistant tasks, streamlining operations, increasing productivity, and meeting academic deadlines.
  • Precise Predictions: Minimizes costly trial and error, reducing wastage, and ensuring consistent quality in educational support.
  • Cost-Effective Solutions: Optimizes teaching assistant tasks to minimize expenses without compromising quality, maximizing efficiency, and improving service delivery.
  • Enhanced Competitiveness: Enables the institution to quickly adapt to changing educational demands, maintaining a competitive edge and capturing greater student satisfaction.