Factors Influencing Pre-service Teachers’ Satisfaction and Intention to Use the Internet: A Structural Equation Modeling
Dublin Core
Title
Factors Influencing Pre-service Teachers’ Satisfaction and Intention to Use the Internet: A Structural Equation Modeling
Subject
Higher education
structural equation modeling
technology satisfaction
the internet
Description
In the age of digital era where the Internet is playing an important and dominant role, the concern of the higher education to ensure that the Internet within the reach of the students is very important. However, little research has been reported to indicate the success of the concern in Indonesia. Therefore, This study was conducted to assess factors influencing Indonesian PSTs’ satisfaction (ST) and intention to use (IU) the Internet for learning through technology acceptance model (TAM). Data was gathered from a total of 596 pre-service teachers (PSTs) from five universities in Indonesia. The measurement and assessment of the model were developed through a partial least square structural equation modeling (PLS-SEM). The results informed that Indonesian PSTs’ ST was strongly influenced by perceived ease of use (PEU) and IU. Besides, PSTs’ IU was predicted by Attitude (AT), PU and PEU.
Creator
Sadikin, Ali
Habibi, Akhmad
Sanjaya, Erick
Setiawan, Dwi Candra
Susanti, Try
Saudagar, Ferdiaz
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 02 (2021); pp. 110-123
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2021-01-26
Rights
Copyright (c) 2021 Ali Sadikin, Akhmad Habibi, Erick Sanjaya, Candra Setiawan, Tri Susanti
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Ali Sadikin et al., Factors Influencing Pre-service Teachers’ Satisfaction and Intention to Use the Internet: A Structural Equation Modeling, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed November 16, 2024, https://igi.indrastra.com/items/show/1682