Machine Learning for the Identification of Students at Risk of Academic Desertion.
Leidy Daniela Forero ZeaYudy Fernanda Piñeros ReinaJosé Ignacio Rodríguez MolanoPublished in: LTEC (2019)
Keyphrases
- machine learning
- learning experience
- student learning
- information literacy
- learning environment
- computer engineering
- computer science education
- e learning
- special education
- intelligent tutoring systems
- learning activities
- learning styles
- college students
- undergraduate students
- higher education
- machine learning methods
- learning outcomes
- national science foundation
- decision trees
- distance education
- data mining
- collaborative learning
- computer science
- learning tasks
- artificial intelligence
- faculty members
- learning analytics
- high school students
- educational data mining
- problem based learning
- learning algorithm
- feature selection
- machine learning algorithms
- computer supported collaborative learning
- post secondary
- mobile learning
- learning tools
- secondary school
- university students
- high school
- concept maps
- elementary school
- educational institutions
- university level
- statistical methods
- teaching materials
- online course
- active learning
- online discussion forums
- tutoring system
- hong kong
- control group