Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling

2020 ◽  
Vol 25 (5) ◽  
pp. 3443-3463 ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Kalyan Kumar Bhattacharjee
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Quantitative Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Equation Modelling

A structural equation modelling approach for adoption of e-book amongst mathematics and statistics (MAS) students at higher education institutions in Libya

2018 ◽  
Vol 35 (4) ◽  
pp. 240-254 ◽  
Author(s):  
Asma Smeda ◽  
Mohd Fairuz Shiratuddin ◽  
Kok Wai Wong
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Resistance To Change ◽  
Higher Education Institutions ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Content Type ◽  
Equation Modelling

Purpose The purpose of this paper is to investigate the factors that may impact on the acceptance of the e-book amongst mathematics and statistics (MAS) students at higher education institutions in Libya. Design/methodology/approach A theoretical model has been developed based on the technology acceptance model (TAM). The factors divided into three groups: intrinsic variables represent the first group of factors that are related to the user or the potential users itself, such as Self-Efficacy and Resistance to Change. Second, extrinsic variables include all the factors that reflect the characteristics of the e-book and the infrastructure for universities, which are Mobility (M), Facilities (F) and Library Service Quality (LS). TAM constructs from Perceived Ease Of Use (PEOU), Perceived Usefulness (PU), Attitude (AU) and Behaviour Intention (BI) represent the last group. Data relating to the constructs were collected through a self-administered survey in 2014. The developed model was measured and tested by structural equation modelling using AMOS (22.0). Findings The result confirmed that the structural model fits the data well. According to the results, TAM constructs have a significant impact on the acceptance of e-book among MAS students at universities in Libya. In addition, the intrinsic variables play the important role to predict students’ BI. Although the extrinsic variables were less important, Facilities was the strong factor in this group. Originality/value The adoption of e-book amongst higher education students in Libya is still quite low. Hence, identifying the factors that may contribute to e-book adoption is crucial. The contribution of this paper is to determine the factors that effect on the acceptance of e-book amongst MAS students at higher education institutions in Libya.

scholarly journals HUMAN CAPITAL INVESTMENT (HCI) DETERMINANTS AFFECTING THE INSTITUTION’S PERFORMANCE: THE PRACTICALITY OF PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELLING (PLS-SEM) APPROACH

2020 ◽  
Vol 8 (2) ◽  
pp. 175-183
Author(s):  
Farahiyah Akmal Mat Nawi ◽  
Abdul Malek A. Tambi ◽  
Muhammad Faizal Samat ◽  
Julaina Baistaman
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Structural Equation Modelling ◽  
Capital Investment ◽  
Structural Equation ◽  
Human Capital Investment ◽  
Coefficient Of Determination ◽  
Performance Excellence ◽  
Survey Tool ◽  
Equation Modelling

Purpose of the study: This paper aimed to assess the analysis of the role of human capital investment (HCI) determinants and its remarkable contribution towards the education institution's performance by adapting the Malcolm Baldridge Criteria for Performance Excellence. Methodology: This research adopted a quantitative study and a survey tool comprises of sixty items with seven Likert scale was utilized as an instrument to assemble data from 309 lecturers in UiTM Kelantan. Next to test the research hypothesis data were then analyzed using the Structural Equation Modelling approach on the SmartPLS3 platform. Main Findings: The analysis demonstrated the influences of HCI determinants towards the UiTM performance. The coefficient of determination (R2) value of 66.9% suggested that the variance of institution performance could moderately be explained by the observed variables, namely knowledge, skill, and training. The result also indicates the highest positive significant value for skill towards performance with β=0.283, t-value= 1.981 and p<0.005. It is proven that a persistent skill development significantly contributes to the performance. Applications of this study: The research finding is useful to help the Ministry of Higher Education (MOE) in Malaysia to identify the relevant determinants in improving human capital quality. Novelty/Originality of this study: There were a lot of studies that were conducted involving higher education in Malaysia. But the only limited number of studies was conducted by scholars in assessing the main contribution of human capital investment factors towards the institution's success.

Analysing the determinants of higher education systems’ performance–a structural equation modelling approach

2019 ◽  
Vol 46 (6) ◽  
pp. 834-852 ◽  
Author(s):  
Tommaso Agasisti ◽  
Alice Bertoletti
Keyword(s):  
Higher Education ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Research Performance ◽  
Empirical Work ◽  
Education Systems ◽  
Data Set ◽  
Higher Education Systems ◽  
Equation Modelling ◽  
And Performance

Abstract This article deals with the relationships between the performance of higher education systems (HESs) and their potential determinants. The research employed data relating to twenty-nine European countries, within a time span of 15 years. The empirical work is based on a conceptual framework that has been tested through Structural Equation Modelling. The data was selected from a novel data set that we have built by gathering HES indicators from the major international databases. Among the more noteworthy results, we found no statistically significant correlation between graduation rates and research performance. Additionally, we found a moderate effect of public expenditure on HES performance. The article addresses the issue of the lack of a comprehensive set of systemic indicators for HES performance, providing a holistic picture of the relationship between HES determinants and performance, which, in turn, could help to provide an adequate evaluation of the policies in the field of higher education.

Scientific Realism and the Study of Higher Education Curriculum and the Student Experience

2016 ◽  
pp. 124-142
Author(s):  
Calvin Smith
Keyword(s):  
Higher Education ◽  
Curriculum Design ◽  
Structural Equation Modelling ◽  
Latent Variables ◽  
Structural Equation ◽  
Experimental Manipulation ◽  
Education Curriculum ◽  
Higher Education Curriculum ◽  
Equation Modelling ◽  
Work Integrated Learning

This chapter elaborates and exemplifies the use of Structural Equation Modelling (SEM) in the analysis of the effects of curricula designs on student learning and experience in higher education. A brief didactic account of the origins of structural equation modelling is used to expose and explore fundamental assumptions, metaphysical and ontological commitments, and alternative views in the field. This is followed by an exemplification of the method by use of a case study of its application in studying a higher education curriculum design (work-integrated learning). The chapter argues for the adoption of a realist account of latent variables on the basis that the constructs they represent are in principle manipulable, even though experimental manipulation is not typically a feature of research on curricula in higher education.

scholarly journals Pengaruh Motivasi dan Gaya Kepemimpinan terhadap Prestasi Karyawan dengan Metode Structural Equation Modelling

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Aris Susanto ◽  
Atikha Sidhi Cahyana
Keyword(s):  
Higher Education ◽  
Leadership Styles ◽  
Leadership Style ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Employee Performance ◽  
Career Path ◽  
Employee Motivation ◽  
Ability To Work ◽  
Equation Modelling

PT. Santos Premium Creamer is a great company in the area of Sidoarjo, food companies and one of the largest producers of creamer in Sidoarjo, the process of using tech machines. Soit needs human resourcehas the ability as well asinsight into the science of running machines. Supporting career PT.Santos Premium Creamer is one of the main requirements of education, the Company provides the opportunity for employees at the level of assistant to resume his education from vocational to higher education as one of the main requirements if later there is promotion of employees. So with the career path in PT. Santos Premium Creamer, motivate employees to college. PT. Santos Premium Creamer consists of several departments of which the production department, where in every part of the patriarch with different people and have different leadership styles as well. Included response to the employees in the department who enrolled. This study was to determine whether the motivation and leadership style affect the achievement of employees of PT. Santos Premium Creamer is currently studying by using SEM (Structural Equation Modelling). Obtaining results that affect the achievement of employee motivation PT.Santos Premium Creamer is currently studying. Leadership style has no effect on employee performance PT.Santos Premium Creamer is currently studying. Good leadership style for leadership in PT.Santos Premium Creamer is a style of leadership that has the ability to work closely matching

scholarly journals The Impact of Brand Relationships on Corporate Brand Identity and Reputation—An Integrative Model

2020 ◽  
Vol 13 (6) ◽  
pp. 133
Author(s):  
Teresa Barros ◽  
Paula Rodrigues ◽  
Nelson Duarte ◽  
Xue-Feng Shao ◽  
F. V. Martins ◽  
...  
Keyword(s):  
Higher Education ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Integrative Model ◽  
Brand Identity ◽  
Brand Relationships ◽  
Corporate Brand ◽  
Equation Modelling ◽  
Corporate Brand Identity ◽  
The Impact

The current literature focuses on the cocreation of brands in dynamic contexts, but the impact of the relationships among brands on branding is poorly documented. To address this gap a concept is proposed concerning the relationships between brands and a model is developed, showing the influence of the latter on the identity and reputation of brands. Therefore, the goal of this study is to develop a brand relationships concept and to build a framework relating it with corporate brand identity and reputation, in a higher consumer involvement context like higher education. Structural equation modelling (SEM) was used for this purpose. In line with this, interviews, cooperatively developed by higher education lecturers and brand managers, were carried out with focus groups of higher education students, and questionnaires conducted, with 216 complete surveys obtained. Data are analyzed using confirmatory factor analysis and structural equation modelling. Results demonstrate that the concept of brand relationships comprises three dimensions: trust, commitment, and motivation. The structural model reveals robustness regarding the selected fit indicators, demonstrating that the relationships between brands influence brand identity and reputation. This suggests that managers must choose and promote brand relationships that gel with the identity and reputation of the primary brand they manage, to develop an integrated balanced product range.

Sign in / Sign up

Export Citation Format

Share Document