Support vector regression for predicting the productivity of higher education graduate students from individually developed software projects.
Cuauhtémoc López MartínRosa Leonor Ulloa-CazarezAndrés García-FlorianoPublished in: IET Softw. (2017)
Keyphrases
- higher education
- support vector regression
- graduate students
- software projects
- software development
- learning technologies
- mobile learning
- e learning
- distance learning
- support vector
- online learning
- regression model
- faculty members
- researchers and practitioners
- learning in higher education
- computer science
- blended learning
- educational technology
- software engineering
- project management
- data sets
- kernel function
- learning management systems
- support vector machine
- neural network
- source code
- object oriented
- information technology
- machine learning
- software developers
- data mining