TY - GEN
T1 - Machine Learning Algorithms for Recommendation of Learning CS Courses in E-Learning Systems
AU - Cheong, Ngai
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/8/26
Y1 - 2022/8/26
N2 - 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.
AB - 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.
KW - Computer Science
KW - E-Learning Environments
KW - Machine Learning Algorithms
KW - Non-CS Majors
KW - Personalized Learning Path
KW - Recommender Systems
UR - http://www.scopus.com/inward/record.url?scp=85143253619&partnerID=8YFLogxK
U2 - 10.1145/3561877.3561899
DO - 10.1145/3561877.3561899
M3 - Conference contribution
AN - SCOPUS:85143253619
T3 - ACM International Conference Proceeding Series
SP - 136
EP - 141
BT - Proceedings of the 5th International Conference on Information Science and Systems, ICISS 2022
PB - Association for Computing Machinery
T2 - 5th International Conference on Information Science and Systems, ICISS 2022
Y2 - 26 August 2022 through 28 August 2022
ER -