Use of Wearable Technologies with Machine Learning to Understand University Student Learning Behaviours to Predict Students at Risk of Failing.
Aidan McGowanPhil HannaDes GreerJohn BuschNeil AndersonMatthew CollinsDavid CuttingDarryl StewartAndrew McDowellPublished in: IHIET (2019)
Keyphrases
- student learning
- machine learning
- learning tools
- collaborative learning
- student motivation
- scientific inquiry
- learning gains
- college level
- introductory programming
- science learning
- classroom learning
- student engagement
- learning algorithm
- student attitudes
- instructional strategies
- programming course
- student perceptions
- science inquiry
- computer science
- middle school mathematics
- e learning
- engineering students
- student achievement
- formative assessment
- learning outcomes
- learning experience
- science instruction