Integrating VR and Game Design for Transformative Learning
Teaching Talks include:
- Collaborating with the VSGI to develop a VR crime scene - Steven Burmeister, Jacob Enfield - This presentation will describe a virtual reality learning experience imagined by Steven Burmeister, Assistant Professor of the Forensics Science Department, and developed by students working with GMU’s Virginia Serious Game Institute (VSGI). A demo of the existing prototype will be shared and a vision of how the project will evolve and be used will be discussed. From attending this presentation, participants will see how VR can provide an immersive and highly interactive learning experience; develop an understanding of how faculty could utilize the VSGI as a production studio to progress their own game-based learning endeavors; and try out the immersive experience using the Meta Quest.
- Solving the Mystery of How to Engage Learners - Sherif Abdelhamid - This presentation will discuss the implementation of a murder mystery game developed to promote learning of SQL (Structured Query Language). The project was funded by the 4VA grant as a collaboration between Virginia Military Institute where the game will soon be implemented and GMU’s Virginia Serious Game Institute (VSGI) where the game is currently being developed. The initiative underscores a novel approach to engaging undergraduate students in mastering SQL by integrating game-based learning within the curriculum. The study will be completed in time to share the results during the presentation, including student perceptions of the game and the impact it has on their performance on subsequent assignments. From attending this presentation, participants will learn how to engage students in the revision process, which can result in improved student performance. Those interested in game-based learning, online learning, data science, or working with the VSGI to design and develop their own serious games may benefit from attending.
- Improving Game Programming Reading Comprehension with AI Generated Code - Nathaniel Hahn - This session will describe an approach to integrate AI generated code into a game programming course for the goal of improving code reading comprehension of students. While many programming courses focus on teaching students how to write code, when many students enter their careers they will spend more time reading code than writing code. Students without experience reading code may struggle early on in their careers, but it can be hard to provide opportunities for students to practice code reading comprehension. By using AI generated code, students can practice their code reading comprehension skills and prepare for when AI code generation tools become more mainstream in the industry. This talk's audience is educators in computer science, programming, and other tech-focused disciplines at the undergraduate level.
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