Reimagining how students learn computer science
R.S. Mansur also presented a poster at the symposium titled “Code, Test, Battle: Gamifying CS2 Through Adversarial Programming Tournaments.” The project introduces a game-based learning system designed for second-semester programming courses, where students often encounter more abstract and challenging concepts.
The system, called “Dungeon Master,” allows student teams to build and customize hero characters throughout the semester. As they learn new programming concepts, those concepts translate into abilities for their heroes. Inheritance, recursion and algorithm design become tools that directly power how their characters compete in automated classroom tournaments.
“As programming concepts become more abstract, students can disengage,” R.S. Mansur said. “I wanted to design an experience where those ideas feel real, relevant and motivating.”
At the end of the semester, student-created heroes compete in live tournaments in the classroom, turning complex code into a visible and shared learning experience.
“It is not about entertainment for its own sake,” R.S. Mansur said. “The system is grounded in behavioral science and integrates industry-standard practices like version control, writing tests before code and collaborative development. Students are practicing the exact skills they will need in their careers.”
R.S. Mansur’s research sits at the intersection of artificial intelligence in education, human interaction with learning technologies and the science of how students learn to program. He is exploring questions about how AI tools can be used responsibly in the classroom, how automated feedback can accelerate learning and how engagement strategies can improve retention in computer science programs.
“Many students leave computer science early,” R.S. Mansur said. “If we can design courses that increase motivation, provide faster feedback and reward genuine skill-building, we can help more students succeed.”
Research as part of the campus culture
Beyond presenting his poster, R.S. Mansur served in multiple leadership roles at the conference, including ACM Student Research Competition judge, senior program coordinator, session chair for a panel on teaching AI concepts to K-12 students, paper reviewer and mentor in the conference’s Buddy Program.
“Being involved at that level meant I was not just attending,” R.S. Mansur said. “I was contributing to the field, representing this campus and helping move the discipline forward.”
Both faculty members emphasized that opportunities like SIGCSE reflect the unique environment at Penn State Lehigh Valley, where close faculty-student collaboration makes undergraduate research both accessible and impactful.
“At a smaller campus, we know our students well,” R.S. Mansur said. “I can see in real time what challenges they face and design research questions that come directly from my classroom. That closeness makes both my teaching and my research stronger.”
For students like Pol and Heimbach, participating as presenters and volunteers demonstrates that research at Penn State Lehigh Valley is not limited to graduate students at large research institutions. Instead, undergraduates are actively contributing to conversations that shape how computer science is taught nationwide.
“Our goal is for students to see themselves as innovators and researchers,” Stone said. “Penn State Lehigh Valley is a place where that ambition is supported and encouraged.”
Through projects that combine social impact, industry relevance and national engagement, the campus continues to position undergraduate research as a central component of the student experience — and as a pathway to leadership in the evolving field of computer science education.
Part of the AI strategy at Penn State
Research initiatives at Penn State Lehigh Valley, including faculty-led projects that integrate artificial intelligence, experiential learning and interdisciplinary innovation, directly align with the University’s AI Transformation strategy and land-grant mission. By embedding AI literacy, ethical reasoning and hands-on, industry-informed problem solving into undergraduate classrooms, the campus advances Penn State’s broader commitment to human-centered AI, cross-disciplinary research and workforce-ready education. These efforts reflect the University’s investment in preparing students not only to understand emerging technologies, but to apply them responsibly and creatively in ways that serve communities across Pennsylvania and beyond.