Application of recommendation algorithm in the construction of specialized innovation and integration courses
Year: 2024
Type: conference-paper
Abstract: Universities play a vital role in promoting the implementation of the "innovation-driven development strategy", and it is particularly urgent to lead the reform of the education and teaching of mass innovation (innovation and entrepreneurship) in universities with innovative thinking. This paper focuses on "personalized learning" as a new engine to promote the teaching practice of mass entrepreneurship education, and puts forward a curriculum construction scheme of "combining professional and innovation and entrepreneurship" with recommendation algorithm. Through the use of recommendation algorithms, this program effectively matches "innovation needs" with "professional needs", so as to tailor a personalized learning path for each student, and comprehensively enhance students' independent learning ability and innovative problem-solving ability.
Authors: Wei Shi, Tong Wang, Lili Huang
Institutions: Ningbo Polytechnic, Shanghai Polytechnic University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4409965494