Using the random forest classifier to assess and predict student learning of Software Engineering Teamwork.
Dragutin PetkovicMarc Sosnick-PérezKazunori OkadaRainer TodtenhoeferShihong HuangNidhi MiglaniArthur VigilPublished in: FIE (2016)
Keyphrases
- student learning
- software engineering
- learning tools
- collaborative activities
- software development
- programming language
- collaborative learning
- science learning
- activity theory
- student motivation
- classroom learning
- student engagement
- science inquiry
- student perceptions
- college level
- learning gains
- learning sciences
- development process
- machine learning
- student interaction
- programming course
- science instruction
- middle school mathematics