The “Software Engineering for Games in Serious Contexts: Theories, Methods, Tools, and Experiences” book is now out! If you have the opportunity to read it there is a chapter co-authored by SEER Lab’s Michael Miljanovic and Jeremy Bradbury on “Engineering Adaptive Serious Games Using Machine Learning.”
Category Archives: Personalized Learning
SIGCSE 2023 Poster – “Adapting Between Parsons Problems and Coding Tasks”
Parsons problems are an effective scaffolding activity for coding. The development of Adaptive Parsons problems has provided more flexible scaffolding for students learning to code. However, there is still a gap between Parsons problems and coding tasks which can both challenge and frustrate learners. If you interested in learning more about Nadia Goralski‘s MSc thesis researchContinue reading “SIGCSE 2023 Poster – “Adapting Between Parsons Problems and Coding Tasks””
ICSE 2020 SEET Paper – “GidgetML: An Adaptive Serious Game for Enhancing First Year Programming Labs”
The paper “GidgetML: An Adaptive Serious Game for Enhancing First Year Programming Labs” by SEER Lab’s Michael Miljanovic and Jeremy Bradbury has been accepted for publication in the Software Engineering Education and Training (SEET) track of the 42nd International Conference on Software Engineering (ICSE 2020).
Adaptive Serious Games for Computer Science Education
PhD student and SQR Lab member Michael Miljanovic was selected as a finalist in the 2017 Three Minute Thesis (3MT) competition at UOIT. Michael’s 3MT talk discussed his PhD research into the use of adaptive serious games to improve Computer Science education. The goal of his research is to adapt games to an individual player in an effort to improve learning andContinue reading “Adaptive Serious Games for Computer Science Education”