Open AccessIntelligent Selection Recommendation Algorithm in the “Double” Mechanism
Author(s) -
Chunhua Tang,
Xiaoli Chi,
Jinjun Tang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/750/1/012090
Subject(s) - selection (genetic algorithm) , curriculum , computer science , selection algorithm , course (navigation) , mechanism (biology) , mathematics education , machine learning , algorithm , psychology , engineering , pedagogy , philosophy , epistemology , aerospace engineering
Aiming at the phenomenon of blind selection during the course selection of college students under the credit system, the paper puts forward the most preferred course selection recommendation algorithm and the recommended course selection algorithm based on comprehensive evaluation of curriculum. The most preferred course selection recommendation algorithm uses 0-1 integer programming model to give the minimal courses and the maximum credits; the comprehensive evaluation of curriculum based on considering the students’ learning ability and learning interest gives he curriculum evaluation coefficient, students according to the curriculum evaluation coefficient can objectively and accurately select elective courses for their own development ability. These two elective courses conform to the actual situation of students’ elective courses, and can effectively guide students to select courses.