Work

Hierarchical Stepwise Multiple Regression Analysis of Technology Acceptant Through the Mobile Cloud Learning of Vocational and Technical Education

Year: 2024

Type: article

Abstract: This research aimed to study correlation of variables and create an equation for predicting actual use of mobile cloud learning. The participant sample comprised 1,080 vocational students from 27 vocational and technical schools. Data analysis involved descriptive statistics, correlation and hierarchical stepwise multiple regression. This research found the independent variables of actual use of mobile cloud learning were Basic ICT skill (BAS), System Quality (SYS), Convenience (CON), Perceived Ease of Use (PEOU), and Perceived Usefulness (PU) which were related to actual use of mobile cloud learning at a significance level of 0.05 and explained 61.90 percent of the variance. The raw score equation was “ACU = .258 + .094 BAS +.434SYS + .129 CON + .023PEOU + .536PU”. The standardized score was “ZACU = .099ZBAS + .429ZSYS + .113ZCON + .192ZPEOU + .562ZPU”.

Source: TEM Journal

DOI: 10.18421/tem134-51

Authors: Sathaporn Yoosomboon, Sunti Sopapradit, Thanyatorn Amornkitpinyo, Pimprapa Amornkitpinyo, Sasinut Lhaitananont, Patamaporn Thaiposri

Institutions: King Mongkut's University of Technology North Bangkok, Assumption University, Nakhon Pathom Rajabhat University

Language: English

Topic: Technology Adoption and User Behaviour

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $647