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Article
Publication date: 13 May 2022

Xiangju Meng and Zhenfang Hu

This paper aims to use a quantitative approach to explore the role of online learning behavior in students’ academic performance during the COVID-19 pandemic. Specifically, the…

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Abstract

Purpose

This paper aims to use a quantitative approach to explore the role of online learning behavior in students’ academic performance during the COVID-19 pandemic. Specifically, the authors probe its mediating effect in the relationship between student motivation (extrinsic and intrinsic) and academic performance in a blended learning context.

Design/methodology/approach

Survey data were collected from 148 students taking an organizational behavior course at one Chinese university. The data were paired and analyzed through regression analysis.

Findings

The results show that students should actively engage in online learning behavior to maximize the effects of blended learning. Extrinsic motivation was found to positively influence academic performance both directly and indirectly through online learning behavior, while intrinsic motivation affected academic performance only indirectly.

Originality/value

Through paired data on extrinsic and intrinsic motivation, online learning behavior and academic performance, this study provides a more nuanced understanding of how online learning behavior affects the focal relationship, and it advances research on the mechanisms underlying the focal relationship. Practitioners should enhance students’ online learning behavior to boost blended learning effects during the COVID-19 pandemic.

Details

Quality Assurance in Education, vol. 31 no. 1
Type: Research Article
ISSN: 0968-4883

Keywords

Article
Publication date: 5 January 2024

Xiangju Meng, Zhenfang Hu and Dan Jia

This paper aims to explore the impact of a digital growth mindset on the academic performance of business students in China as well as the role of gender in this relationship. The…

Abstract

Purpose

This paper aims to explore the impact of a digital growth mindset on the academic performance of business students in China as well as the role of gender in this relationship. The study provides feasible ways to foster such a mindset to ensure quality in business education.

Design/methodology/approach

The paper employs a survey to examine the associations among digital growth mindset, gender and the academic performance of business students in China within the context of online learning. The authors collected data from 533 students who were enrolled in two online business courses at a Chinese university. The data were paired and analyzed through regression analysis.

Findings

The empirical results show that digital growth mindset has a positive influence on the academic performance of business students in China. The relationship is stronger for male business students than for their female counterparts.

Originality/value

This study is one of the first to examine the concept of digital growth mindset and its significance in Chinese business education. Through the analysis of paired data on digital growth mindset and academic performance, this study makes theoretical contributions to the literature on growth mindset, gender differences and academic success. Additionally, it has practical implications for quality assurance in business education in developing countries by offering feasible approaches to cultivate a growth mindset among students.

Details

International Journal of Educational Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0951-354X

Keywords

Article
Publication date: 5 September 2016

Vajiha Mozafary and Pedram Payvandy

The purpose of this paper is to conduct a survey on research in fabric and cloth simulation using mass spring model. Also in this paper some of the common methods in process of…

Abstract

Purpose

The purpose of this paper is to conduct a survey on research in fabric and cloth simulation using mass spring model. Also in this paper some of the common methods in process of fabric simulation in mass spring model are discussed and compared.

Design/methodology/approach

This paper reviews and compares presented mesh types in mass spring model, forces applied on model, super elastic effect and ways to settle the super elasticity problem, numerical integration methods for solving equations, collision detection and its response. Some of common methods in fabric simulation are compared to each other. And by using examples of fabric simulation, advantages and limitations of each technique are mentioned.

Findings

Mass spring method is a fast and flexible technique with high ability to simulate fabric behavior in real time with different environmental conditions. Mass spring model has more accuracy than geometrical models and also it is faster than other physical modeling.

Originality/value

In the edge of digital, fabric simulation technology has been considered into many fields. 3D fabric simulation is complex and its implementation requires knowledge in different fields such as textile engineering, computer engineering and mechanical engineering. Several methods have been presented for fabric simulation such as physical and geometrical models. Mass spring model, the typical physically based method, is one of the methods for fabric simulation which widely considered by researchers.

Details

International Journal of Clothing Science and Technology, vol. 28 no. 5
Type: Research Article
ISSN: 0955-6222

Keywords

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