From classroom to metaverse: a study on gamified constructivist teaching in higher education
Ng, Peter HF, Chen, Peter Q, Sin, Zackary PT, Jia, Ye, Li, Richard Chen, Baciu, George, Cao, Jiannong, Li, Qing
International conference on web-based learning 2023 (2023)
Abstract
In the rapidly evolving educational landscape, the integration of metaverse and gamification is emerging as a revolutionary approach. This paper presents the Gamified Constructivist Teaching in the Metaverse (GCTM) framework, aiming to enhance engagement and satisfaction in the computer science education domain. Implemented in two engineering classes using the metaverse platform, the GCTM model, with its unique combination of game world design, rule design, roleplay, mission assignments, and evaluation, demonstrated promising results in enhancing student-lecturer interactions. Feedback indicated a stronger sense of belonging among students in the virtual environment compared to conventional platforms like ZOOM or MS Teams. The findings underscore the potential of GCTM in transforming the educational experience, suggesting a significant stride towards a more interactive and learner-centric approach in the metaverse-driven educational era.
What GCTM Actually Proposes
The Gamified Constructivist Teaching in the Metaverse (GCTM) framework structures a course around five interlocking components: Game World Design (the virtual environment as a narrative space), Rule Design (constraints that shape learner behavior), Roleplay (students inhabit discipline-relevant identities), Mission Assignments (progressive tasks aligned with learning objectives), and Evaluation (continuous assessment embedded in gameplay). These are not independent modules layered onto a syllabus — they are mutually reinforcing. The game world makes roleplay credible; the rules create the friction that makes missions meaningful; evaluation closes the loop by feeding performance data back into mission design.
This structure draws on constructivist learning theory — specifically, the idea that knowledge is built through active experience rather than transmitted through lecture — but GCTM operationalizes it in a way that distinguishes it from earlier gamification frameworks. Most gamification models (points, badges, leaderboards) add motivational scaffolding to otherwise unchanged pedagogy. GCTM instead makes the game structure the pedagogy. The metaverse is not a delivery channel; it is the learning environment.
What the Study Actually Tested
The framework was deployed in two undergraduate engineering courses at Hong Kong Polytechnic University: Computer Graphics (37 students) and Artificial Intelligence (34 students), conducted entirely within a metaverse platform. Students completed missions — debugging exercises, algorithm design challenges, collaborative modeling tasks — within a persistent virtual world. The control was not a null condition but the same courses taught over ZOOM and MS Teams, which makes the comparison sharper: both conditions were remote and technology-mediated, but only one was spatially immersive.
Three findings stand out. First, student-lecturer interaction improved measurably in the metaverse condition. Students asked more questions and initiated more unscheduled interactions than in the video-conferencing baseline. Second, sense of belonging was significantly higher — students reported feeling "part of a class" rather than "watching a stream." Third, engagement metrics (mission completion rates, optional task uptake) favored the GCTM group, though the paper is appropriately cautious about attributing this solely to the metaverse rather than to the novelty effect or the structured gamification itself.
The authors are careful not to overclaim. They note that the sample is small (71 students across two courses), that the instructor was the same person in both conditions (confounding instructor enthusiasm with platform effect), and that the metaverse platform introduced technical friction — latency, device compatibility issues, a non-trivial onboarding curve — that the ZOOM condition did not have. These are not disqualifying flaws, but they bound the conclusions: GCTM shows promise for engagement and social presence in computer science education; it does not yet demonstrate learning outcome gains over video conferencing, because the study did not measure them with a controlled assessment instrument.
What This Means for the Field
The paper arrives at a moment when "metaverse for education" is heavy on vision statements and light on structured frameworks with empirical grounding. GCTM provides a concrete, replicable design pattern. The five components are sufficiently specified that another instructor could adapt them to a different engineering course without guessing at what "gamification" means in practice.
The more interesting signal, however, is the belonging effect. If the metaverse's advantage over video conferencing is primarily social-presence rather than gamification — if students engage more because they feel co-located rather than because they are earning points — then the design implication shifts. It suggests that metaverse education platforms should invest in spatial audio, avatar expressiveness, and environmental cues that reinforce co-presence, rather than in more elaborate reward systems. The GCTM framework includes both, but the data hints that the former may be doing more of the work.
Limitations to Keep in Sight
The study spans a single semester at one institution with one instructor. The metaverse platform is not named in detail, so replicability depends on assumptions about what constitutes a "metaverse" environment. The constructivist framing is coherent, but the paper does not isolate which of the five GCTM components contributes most to the observed effects — a dismantling study would be the natural next step. And critically, learning outcomes were assessed through course-embedded measures rather than a standardized instrument, which limits cross-study comparability. The framework is a strong starting point, not a validated intervention.