Term of Award
Master of Science in Computer Science (M.S.)
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Department of Computer Science
Committee Member 1
Committee Member 2
This work presents Mazetec, a scenario-based learning platform for delivering non-linear scenarios format asynchronously. It enables subject matter experts to create interactive, state-dependent case studies or courses with branching logic for online learning and knowledge testing. Mazetec is a complex web application designed to deliver decision-based or case-based educational scenarios and simulations in a time-limited, non-linear format. There are many e-learning systems in the open source and commercial markets, but while these systems may have similar functions, we have found none that are both domain independent and able to deliver state-dependent content asynchronous and non-linearly. Mazetec can serve as a standalone training system or serve as a supplementary activity provider to an existing course in an organization's existing learning management system (LMS).
Bietz, Daniel, "Mazetec: A Scenario-Based Learning Platform" (2018). Electronic Theses and Dissertations. 1865.
Research Data and Supplementary Material
Available for download on Sunday, December 03, 2023