Forecasting Success of Computer Science Professors and Students Based on Their Academic and Personal Backgrounds.
Ghazal KalhorBehnam BahrakPublished in: CoRR (2023)
Keyphrases
- computer science
- computer engineering
- computer science education
- graduate students
- computer science students
- computer scientists
- electrical engineering
- computer science and engineering
- computing education
- undergraduate students
- undergraduate engineering
- artificial intelligence
- student success
- computer programming
- students studying
- introductory programming courses
- learning environment
- student learning
- researchers and practitioners
- short term
- introductory computer science
- learning experience
- learning activities
- faculty members
- library and information science
- state university
- higher education
- computer science curriculum
- college students
- long term
- high school
- distance learning
- special education
- post secondary
- social context
- cooperative learning
- mathematical concepts
- learning outcomes
- national science foundation
- automata theory
- machine learning
- e learning
- learning process
- information literacy
- collaborative learning
- management science
- high school students
- educational technology
- social sciences
- lecture notes
- information technology
- social issues
- postgraduate students
- online environment
- african american
- blended learning
- young researchers