Bayesian Knowledge Tracing Implemented in a Telecommunications Serious Game

The University of Johannesburg has integrated serious games into its teaching, exemplified by Codebreakers, a 2D game teaching information theory. While successful, Codebreakers lacked person-alisation and used a criticised assessment method based on answer streaks. Knowledge tracing algorithms, known for their effectiveness in intelligent tutoring systems, were considered to address these limitations. This led to the research question: "Can a new serious game be designed, incorporating knowledge tracing algorithms to deliver personalised learning experiences in telecommunications education?" In response, an escape-themed serious game was developed, integrating Bayesian Knowledge Tracing as a sta-tistical student model for personalised learning. This innovative approach combines free-roam gameplay with tailored educational content, significantly advancing serious game design. While pri-marily aimed at enhancing Codebreakers, this new game contrib-utes substantially to serious game theory by successfully imple-menting personalised learning within an engaging format. The pro-ject showcases the potential of knowledge tracing algorithms in creating adaptive, student-centered learning experiences within the context of educational games.