Applying Data Analysis to Identify Early Indicators for Potential Risk of Dropout in CS Students.
Axel BöttcherVeronika ThurnerTanja HäfnerPublished in: EDUCON (2020)
Keyphrases
- data analysis
- student motivation
- introductory programming
- introductory computer science
- student learning
- learning activities
- online course
- learning environment
- intelligent tutoring systems
- introductory programming courses
- learning styles
- higher education
- learning outcomes
- data mining
- high school students
- collaborative learning
- computer science students
- students learning
- grounded theory
- university students
- college students
- tutoring system
- risk management
- mobile learning
- data collection
- data processing
- machine learning
- decision making
- undergraduate students
- e learning
- distance learning
- programming course
- learning experience
- learning community
- learning gains
- grade students
- programming assignments
- learning process
- novice programmers
- computer programming
- cluster analysis
- risk assessment
- distance education