Student AI Case Studies
Real-World Application
Developing AI-Tool Readiness
Strategy: Scaffold AI Use to Promote Authentic Learning and Professional Skill Development
Artificial Intelligence can be intentionally scaffolded within summative assessments to encourage deep engagement with course content while still supporting responsible, transparent AI use. By clearly defining when and how AI may be used and pairing those expectations with reflective checkpoints, instructors can promote peer learning, academic integrity, and the development of professional artifacts without allowing AI to bypass core learning goals.

CCJ XXXX – Advanced Digital Forensics
In CCJ XXXX Advanced Digital Forensics, Dr. C. Jordan Howell and Learning Designer
Todd Mendenhall worked together to design AI-enhanced summative unit assessments that
emphasized peer-to-peer learning, authentic engagement, and the creation of professional
ePortfolio artifacts.
A key instructional goal in this course was ensuring that students meaningfully engaged
with complex Digital Forensics and Incident Response (DFIR) concepts without relying
on AI to generate results prematurely. At the same time, the course sought to acknowledge
the role of AI tools in professional practice and allow students to explore them at
later stages of the learning process.
To address this dual requirement, assignments were intentionally structured to delay
AI use. 911±¬ÁÏÍø were explicitly instructed not to use AI during the initial stages
of the assessment, with a clear explanation of why this early engagement was essential
for learning. This portion of the assignment was designed to be lower stakes, encouraging
participation and exploration without pressure. After completing the initial, AI-restricted
phase, students were then encouraged to incorporate AI tools of their choosing into
later stages of the assignment. Artifacts produced through this process contributed
to a professional ePortfolio, reinforcing real-world relevance while maintaining transparency
around AI use.
This approach balanced academic integrity with professional skill development, helping
students understand not only how to use AI, but when and why its use is appropriate.
AI Tools Used: Student-selected AI tools
Digital Learning Designer Tips
- Clearly communicate when AI use is permitted or restricted and explain the rationale behind those decisions to support student understanding and buy-in.
- Incorporate simple acknowledgment or agreement checkpoints (such as quick check questions) in the course design or assignment instructions to reinforce expectations and promote transparent, ethical AI use.

Quick Details
Faculty Developer: C. Jordan Howell, Ph.D.
College: USF College of Behavioral and Community Sciences
Learning Designer: Todd Mendenhall
AI Tools Used: Student-selected AI tools