A fast measure for identifying at-risk students in computer science.
Nickolas J. G. FalknerKatrina E. FalknerPublished in: ICER (2012)
Keyphrases
- computer science
- computer science students
- computer scientists
- electrical engineering
- computer engineering
- computing education
- computer science education
- computer science curriculum
- computer programming
- graduate students
- learning experience
- high school students
- student learning
- collaborative learning
- learning environment
- undergraduate students
- high school
- learning activities
- lecture notes
- learning styles
- risk management
- learning outcomes
- introductory programming courses
- students studying
- higher education
- similarity measure
- data mining
- researchers and practitioners
- distance education
- risk assessment
- intelligent tutoring systems
- automata theory
- introductory computer science
- introductory programming
- undergraduate engineering
- social aspects
- instructional systems
- artificial intelligence
- e learning
- college students
- problem based learning
- online course
- learning community
- related topics
- distance learning
- social sciences
- machine learning
- information technology
- mobile learning
- african american
- library and information science
- control group
- university level
- university students
- information science