Study of satisfaction and usability of the Internet on student's performance
Year: 2011
Type: article
Study design: Observational Study
Abstract: Using the extended task-technology fit (TTF) model, this paper aims to examine satisfaction and usability of internet usage on students’ assignment completion tasks and their performance. In the extended TTF model, technology resistance and technology usage was also considered. The study was conducted at a management institute in Mumbai and questionnaires were distributed to 200 post-graduate students. The results indicate that technology satisfaction and the internet usage significantly explains the variance on students’ performance. Task-technology fit is the predictor for internet usage, whereas it is not a predictor for technology resistance. Technology Satisfaction is the predictor of Technology resistance, student’s performance and internet usage. Internet usage is the predictor of Technology satisfaction and student’s performance. Since these factors are found to have significant relationship with students’ performance, the management and decision makers in universities and institutes need to give higher importance as to how students could use the internet efficiently and effectively.
Authors: Ela Goyal, Seema Purohit, Manju Bhaga
Institution: Birla Institute of Technology, Mesra
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2132969152