Modelling and analysis of the impact of smart mobile devices on learning effect based on partial least square regression. (10th February 2021)

• Record Type: Journal Article
• Authors: Qu, Meng
• Is Part Of: International journal of continuing engineering education and lifelong learning. Volume 31:Number 2(2021)
• Page Start: 185
• Page End: 201
• Publication Date: 2021-02-10
• Subjects: partial least square regression -- smart mobile device -- learning effect -- impact modelling -- E-R diagram; Engineering -- Study and teaching -- Periodicals; 620.00715
• Languages: English
• ISSNs: 1560-4624

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.