At-Risk Students Identification based on Machine Learning Approach: A Case Study of Computer Science Bachelor Student in Tunisia.
Amani KhalifaFatma BenSaidYessine Hadj KacemZouhaier JridiPublished in: AICCSA (2023)
Keyphrases
- computer science
- computer science students
- machine learning
- student learning
- computer engineering
- computer science curriculum
- students studying
- computer programming
- introductory computer science
- introductory programming courses
- learning environment
- intelligent tutoring systems
- high school students
- undergraduate students
- undergraduate engineering
- university level
- mathematical concepts
- online course
- automata theory
- computer scientists
- tutoring system
- artificial intelligence
- electrical engineering
- students learning
- helping students
- university courses
- learning styles
- instructional systems
- educational environment
- classroom setting
- programming course
- graduate students
- middle school students
- reflective learning
- student motivation
- sixth grade
- collaborative writing
- high school
- computer science education
- data mining
- distance learning
- peer assessment
- science education
- engineering courses
- conceptual understanding
- engineering students
- learning objectives
- student participation
- novice programmers
- online learning
- teaching methods
- student progress
- learning process
- higher education
- e learning
- introductory programming
- student knowledge
- educational settings
- college level
- classroom environment
- student centered