Title: Software design of intelligent interactive autonomous learning system

Authors: Xue Wen She

Addresses: School of Electronic and Information Engineering, Lingnan Institute of Technology, Guangzhou City of Guangdong Province, 510663, China

Abstract: Aiming at the problems of poor quality of service, low performance of system cluster and low accuracy of parameter calculation in current software design method of autonomous learning system, a software design method of intelligent interactive autonomous learning system is proposed. Through system architecture design, system module design, system interaction design, system network design and system database design, the overall structure of interactive autonomous learning system software is constructed, and the project parameters and capability parameters are calculated by maximum likelihood method and expert estimation method. According to the user's own ability, personalised test questions and learning content are set for users, and the software design of autonomous learning system is realised. The experimental results show that the proposed method has high quality of service, good cluster performance and high accuracy of parameter calculation.

Keywords: interactive; autonomous learning; system design; system cluster.

DOI: 10.1504/IJIPT.2020.108002

International Journal of Internet Protocol Technology, 2020 Vol.13 No.3, pp.167 - 175

Received: 16 Apr 2019
Accepted: 22 Jun 2019
Published online: 01 Jul 2020 *

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