Task-Technology Fit Model: The Factors Affecting Students' Academic Performance in Higher Education

Ali Mugahed Al-Rahmi,Omar A Alismaiel,Alina Shamsuddin

doi:10.13189/ujer.2020.081249

Abstract

This paper mitigates the variation in literature on the usage in Behavioural Purpose to use and actual social media use through social media use and also it influences performance and satisfaction of students at higher education. Thus, this research aimed to develop a model to investigate along with behavioral intention to use and actual social media that influence students' satisfaction and performance impact use task technology fit (TTF) model. A questionnaire survey on Task-technology fit theory was circulated among a total of 206 university students as the key method for collecting data. This research hypothesizes that social characteristics and technology characteristics can affect the task technology fit, which also hypothesizes TTF for behavioral intention to use and actual social media that turn to improve students' satisfaction, and performance impact. However, all research findings were attained through a quantitative method using the Structural Equation Modeling (SEM-AMOS). Findings out in this research indicate positive effect students on their academic through behavioral intention to utilize of social media for teaching and learning in higher education. Moreover, the results that social media is used for learning purpose and enables sharing of knowledge, discussions, and information to enhance students' learning activities, therefore, we recommend students to use social media for educational purposes through lecturers at higher education institutions.

Highlights

Social media sites represent recent innovation, which was intended to foster large-scale collaboration and communication
The model includes that in social media use, and how knowledge is constructed. content of social characteristics, technology characteristics, this study aims to develop a model that task-technology fit, behavioral intention to use, and actual measures the social media use to determine the level of social media use, student satisfaction, and performance students’ Social characteristics, Technology characteristics, impact, which affect student’s academic and Task-Technology Fit through behavioral intention and performance at higher academic institutes
The step of effect direct is that peers have a significant positive correlation with Task-Technology Fit, resulting effect to behavioral intention to use “β = .629, t = 12.687 p

Summary

Introduction

Social media sites represent recent innovation, which was intended to foster large-scale collaboration and communication. Since their invention, such sites have spread so rapidly that daily users are growing, and an integral part of people personal and professional lives [1]. Social media can be defined as a group of Internet-based an application that build on the ideological and technological foundations of Web 2.0, and allows the creation and interchange of information [2]. [3, 4] Many studies have reported positive impacts of integrating social media sites in higher education technology resources. Many such studies were aimed at students.

Objectives

Methods

Findings

Discussion

Conclusion