Term of Award

Fall 2018

Degree Name

Master of Science in Computer Science (M.S.)

Document Type and Release Option

Thesis (open access)

Copyright Statement / License for Reuse

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Department

Department of Computer Science

Committee Chair

Andrew Allen

Committee Member 1

Lixin Lee

Committee Member 2

Vladan Jovanovic

Abstract

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).

Research Data and Supplementary Material

No

Available for download on Sunday, December 03, 2023

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