Undergraduate computer science majors in the database management course at Virginia Military Institute (VMI) are now having fun learning Structured Query Language (SQL), through a unique game playing approach — bypassing the traditional educational methods of memorization and passive participation.

Although mastery of SQL is recognized as a necessary skill to manage a variety of data-intensive domains, it is acknowledged that the instructional methods have not evolved to address the learning challenges found in the course materials. Thanks to George Mason’s Jacob Enfield, in the College of Visual and Performing Arts and the Virginia Serious Game Institute, and Sherif Abdelhamid at VMI — along with a 4-VA grant — students at VMI are approaching SQL education in an entirely different way, and the results are impressive.

To add in the fun factor, Enfield and Abdelhamid created a ‘murder mystery’ game. As players advance through the game, they encounter a series of questions designed to test their SQL skills. Each correctly answered question brings the player closer to solving the mystery and reinforces concepts in a practical approach. The game provides a simulated real-world context in which learners apply their skills to solve an authentic problem within the simulated context of the game world. Additionally, the game incorporates common components that enhance engagement, such as story, goals, points, and increasing levels of challenge. The scoring system introduces a competitive element among players, as players answer more questions correctly their scores increase and they can advance to the next level. “With this approach, we were able to target today’s digital-native students, accommodating their preference for interactive, feedback-rich learning environments,” explains Enfield.
Supporting Enfield and Abdelhamid in the development of the system were Mason students Swetha Annapoorna and Ajay Addike, who built the web apps.
Student evaluations show that the new learning approach is working. Students liked the system’s engaging nature, competitive elements, visual simplicity, and interactive features. In addition, students rated the game highly for reinforcing SQL concepts learned in class. All students reported interest in understanding more about SQL due to the game. Says Abdelhamid, “A large majority of the students felt that this approach taught them to manage SQL problems strategically, which is essential for learning any programming language.”


With the successful course redesign under their belt, Enfield and Abdelhamid are now in the dissemination process. The course was featured at George Mason’s Innovations in Teaching and Learning Conference and presented at the Frontiers In Education Conference.
In another result of the collaboration, the Enfield and Abdelhamid relationship has proved fruitful, as the two have already received outside funding for a different project. “This 4-VA opportunity has helped me reach out to other universities and make connections I normally would not have made,” concludes Enfield. “And we were able to deliver a great new way to teach an important skill.”

To that end, Green sought the involvement of scholars in the field at several 4-VA partner schools to help her put the project into motion: Mary Caton Lingold at VCU and Bonnie Gordon at UVA. Both readily volunteered their time to bring this multi-level and multi-faceted research to fruition. Michael Nickens (a.k.a. Doc Nix — most recognized as the leader of George Mason University’s “Green Machine,”) also eagerly joined the team. Additionally, Maria Ryan, at Florida State University, came on to collaborate on the project.








This was achieved following 4-VA’s approval of a proposal by George Mason’s Yun Yu, an Assistant Professor in Chemistry and Biochemistry Department, for a grant entitled

Angeline Lillard, a widely respected developmental psychologist and researcher in the Department of Psychology at UVA. Explains Doebel, “Our collaboration would not have taken off the way it did if it hadn’t been for Angeline, because she was the one who sent me an email about 4-VA. She said, ‘Have you heard of 4-VA? We should consider this option.’”


Led by Myeong Lee, Mason’s Assistant Professor of Information Science and the Director of the Community Informatics Lab, the researchers also included former College of Science faculty members Olga Gkountouna, who assisted with machine learning model development, and Ron Mahabir who provided insight on geographical data analysis. Amr Hilal of Virginia Tech helped with data analytics from a machine learning perspective.
in their geographical area, it tends to attract more participants. In a second finding, the team implemented three advanced machine learning models to predict the success of local Meetup groups, finding that the performances of these prediction models vary across different categories and cities, with some outperforming the state-of-the-art models.
Graduate student Muhammad Umair (left), who gathered and processed fMRI and firing rate data for the research, won first place at the College of Engineering and Computing Innovation Week at Mason with a poster titled ‘Subject and Task Fingerprint using Dynamic Reconstruction from fMRI Time-series Data’.
This dilemma had been on the mind of Margaret Weiss, Associate Professor of Special Education at Mason who has long researched co-teaching and pre-service teacher preparation. She saw an acute need to develop and then test a hybrid professional learning series to prepare general and special education teachers in secondary inclusive classrooms to implement effective co-teaching practices.
Rodgers, an Associate Professor at VCU, would be the perfect collaborator. Rogers specializes in inclusive classrooms, co-teaching, learning disabilities, single-case design methods, collaboration, and classroom observation. As VCU is a partner in the 4-VA network, Weiss was able to invite Rodgers to join her in a 4-VA proposal as a co-principal investigator, which was subsequently greenlighted by the 4-VA@Mason Advisory Board.

