Title: Research on integration method of AI teaching resources based on learning behaviour data analysis

Authors: Xiaohua Yang

Addresses: Clothing Department, Luohe Vocational Technology College, Luohe, China

Abstract: Aiming at the problem of long running time and low precision of traditional artificial intelligence resource integration method, a new artificial intelligence teaching resource integration method based on learning behaviour data analysis is proposed. Analyse online learning behaviour data, extract relevant data of artificial intelligence teaching resources, and realise sample collection of artificial intelligence teaching resources. Random forest algorithm was used to classify them, reward and punishment factors were added, and mountain-climbing method was used to search the solution space, so as to realise the integration of artificial intelligence teaching resources. The experimental results show that this method can improve the efficiency and precision of the whole method, and obtain better integral results.

Keywords: learning behaviour data analysis; artificial intelligence; teaching resources; integration method; random forest algorithms; mountain climbing method.

DOI: 10.1504/IJCEELL.2020.110930

International Journal of Continuing Engineering Education and Life-Long Learning, 2020 Vol.30 No.4, pp.492 - 508

Received: 25 Jun 2019
Accepted: 04 Nov 2019

Published online: 01 Nov 2020 *

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