Predicting Students Performance in Examination Using Supervised Data Mining Techniques.
Moses Kazeem AbiodunEmmanuel Abidemi AdeniyiDayo Reuben AremuJoseph Bamidele AwotundeEmmanuel OgbujiPublished in: ICIIA (2021)
Keyphrases
- data mining techniques
- student learning
- data mining
- learning environment
- learning experience
- high school
- intelligent tutoring systems
- higher education
- college students
- distance learning
- historical data
- undergraduate students
- learning activities
- learning outcomes
- learning styles
- high school students
- learning process
- tutoring system
- learning algorithm
- e learning
- unsupervised learning
- collaborative learning
- distance education
- computer science students
- problem based learning
- association rule mining
- supervised learning
- data mining applications
- machine learning
- online course
- control group
- middle school students
- peer assessment
- educational environment
- university students
- feature selection
- helping students
- data mining systems
- secondary school
- subject matter
- information retrieval
- information technology
- association rules
- computer supported collaborative learning
- knowledge discovery
- learning analytics
- data mining algorithms