Machine Learning Algorithms for Recommendation of Learning CS Courses in E-Learning Systems

Intelligent Recommender Systems (RS) on conceptual learning of Computer Science (CS) have been widely applied in the teaching of universities, in order to provide a personalized education path, by automatically identifying the students' preferences and the situations of learning. This paper firstly reviews the applications in CS learning for non-CS majors, using the major recommendation techniques, and that analyzes the results of CS Learning for non-CS majors in Macao Polytechnic University (MPU). The results show that different specialties should adopt different recommendation algorithms, in order to achieve the desired teaching effect, since the different professional student on a concept of cognition, and have a specific learning style. For the same course outline, the teaching materials, learning paths and practice activity etc, will vary, according to their professionals.