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. 

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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 

  1. Clearly communicate when AI use is permitted or restricted and explain the rationale behind those decisions to support student understanding and buy-in. 
  2. 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. 
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Todd Mendenhall, Learning Designer 

 

 

Quick Details

Faculty DeveloperC. Jordan Howell, Ph.D.

College: USF College of Behavioral and Community Sciences

Learning Designer: Todd Mendenhall

AI Tools Used: Student-selected AI tools