Title: Modelling and analysis of the impact of smart mobile devices on learning effect based on partial least square regression

Authors: Meng Qu

Addresses: Qingdao Vocational and Technical College of Hotel Management, Qingdao 266100, China

Abstract: Aiming at the problems of long running time, high learning cost and low accuracy of the current learning effect model of intelligent mobile devices, a learning effect model of intelligent mobile devices based on partial least squares regression is designed. Use E-R diagram to analyse the relationship between courses and other resources, and build a learning database. Partial least-squares regression method is adopted to establish the influence model of intelligent mobile devices on learning effect, and partial regression coefficients are used to modify the partial least-squares regression model, so as to realise the modelling and analysis of the influence of intelligent mobile devices on learning effect. The experimental results show that the running time of this method is less than 30s, the average learning cost is only 6.25, and the fitting degree is higher than 80%, which proves that the comprehensive performance of the model in this paper is better.

Keywords: partial least square regression; smart mobile device; learning effect; impact modelling; E-R diagram.

DOI: 10.1504/IJCEELL.2022.10027336

International Journal of Continuing Engineering Education and Life-Long Learning, 2021 Vol.31 No.2, pp.185 - 201

Received: 30 Jul 2019
Accepted: 29 Sep 2019

Published online: 20 Apr 2021 *

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