Detecting students-at-risk in computer programming classes with learning analytics from students' digital footprints.
David AzconaI-Han HsiaoAlan F. SmeatonPublished in: User Model. User Adapt. Interact. (2019)
Keyphrases
- computer programming
- learning analytics
- educational data mining
- student success
- programming course
- learning sciences
- student learning
- learning experience
- learning environment
- learning outcomes
- lego mindstorms
- intelligent tutoring systems
- high school
- introductory computer
- informal learning
- learning activities
- collaborative learning
- learning process
- subject matter
- networked learning
- educational settings
- learning analytics and knowledge
- higher education
- visual analytics
- personal learning environments
- teaching materials
- programming concepts
- formative assessment
- online course
- learning tools
- learning technologies
- learning styles
- e learning