Case Study: Cybersecurity Training on AI Systems

Executive Summary:

As part of my coursework for EDUC 765 I designed a project for a fictional company based on cybersecurity training. This course was developed based on the ADDIE framework.

Stratoview Analytics, a (fictional) midsized marketing firm based in Minneapolis MN, has identified significant cybersecurity risks related to the unregulated use of AI products by employees. Some employees have logged on to personal AI accounts on company laptops and have used said accounts to process work-related tasks. Stratoview has purchased a paid version of Microsoft Copilot as an approved AI system to be integrated into workflow. This instructional project aims to train staff to use Microsoft Copilot effectively in the workplace. Additionally, this project aims to increase awareness of cybersecurity risks related to unregulated AI use and ultimately to eliminate the risk. Instruction will occur through a blended model of self-paced modules and in-person learning on the Stratoview campus.

Click the button to view the full Course Design Document, which includes the following:

  • Project Description

  • Instructional Needs Analysis

  • Learner Analysis

  • Contextual Analysis

  • Application of Learning Theories

  • Application of Motivational Theories

  • Impact of Diverse Audience on Instruction

  • Task Analysis

  • Terminal Objectives and Enabling Objectives

The Enabling Objectives Matrix, based on Dr. David Merrill’s Component Display Theory, sets up the outline for the content for the course on cybersecurity. On the left you will find a sample teaching aid for use during instruction.