Faculty Case Studies
Course Production Efficiency
Analyzing and Segmenting Content
Strategy: Use AI to Support Scalable Video Chunking and Formative Knowledge Checks
Artificial Intelligence can be used to support learning design by analyzing long-form lecture content and identifying logical segmentation points paired with formative knowledge checks. By leveraging AI-assisted transcript analysis, instructors and designers can improve cognitive load management, enhance student engagement, and preserve instructional intent while making content more accessible and digestible.
FIN 4504 – Principles of Investments
In FIN 4504 Principles of Investments, Dr. Vikas Soni and Learning Designer Todd Mendenhall
collaborated to address the challenge of delivering extensive lecture content in a
more student-centered and manageable format. The course initially included full-length
lecture videos exceeding twelve hours in total, which posed challenges for maintaining
student attention, pacing, and engagement. To support both the instructor and students,
the design team sought a way to efficiently identify natural breakpoints within the
lectures and introduce brief knowledge checks.
Using Kaltura, machine-generated transcripts were created for the full-length lecture
videos. These transcripts were then analyzed using Microsoft Copilot, which scanned
the text to suggest logical segment breakpoints and generate options for short knowledge
checks aligned to each segment. The instructor reviewed and validated the AI-suggested
breakpoints and questions to ensure content accuracy and instructional alignment.
This approach significantly reduced the time required to segment the lectures while
maintaining instructional quality. The instructor reported that the AI-generated suggestions
were largely accurate, requiring only minor refinement, and found the process effective
for transforming lengthy video content into structured, learner-friendly segments
with built-in formative assessment.
AI-Enabled Tools Used: Kaltura (machine-generated video transcripts), Microsoft Copilot
Digital Learning Designer Tips
- Confirm that any stakeholders that contributed to the creation of lecture content are comfortable with uploading lecture transcripts to AI tools.
- While AI can efficiently identify patterns and suggestions, instructors should always double-check content edit suggestions, breakpoints, and knowledge check questions and answers to ensure disciplinary accuracy and alignment with instructional intent.
Quick Details
Faculty Developer: Vikas Soni, Ph.D.
College: USF Muma College of Business
Learning Designer: Todd Mendenhall
AI Tools Used: Kaltura (machine-generated video transcripts), Microsoft Copilot