Examining Student Behavioral Intention of Superstar Learning System by Extending Its Technology Acceptance Model
Author:
Affiliation:
1. Faculty of Foreign Studies, Beijing Language and Culture University, China
2. Faculty of Humanities and Social Sciences, City University of Macau, Macau
3. Faculty of Liberal Arts, Mahidol University, Thailand
Abstract
Superstar Learning System, designed and developed by Superstar Company, is a learning platform where teachers and learners may have access to plentiful educational resources and interact with each other. Behavioral intention related to this platform has not been explored although many researchers have examined its use in education. A random sampling technique and a questionnaire survey were adopted to collect data to complement this missing link in literature. This study revealed numerous influencing factors of behavioral intention such as performance expectancy, effort expectancy, lecturer influence, peer influence, user innovativeness, interface simplicity, and multiple functions. It also extended the extended technology acceptance model (TAM) by involving more influencing constructs (i.e., lecturer and peer influences, user innovativeness, interface simplicity, and multiple functions). Future research could adopt inter-disciplinary research methods to examine Superstar Learning System-based behavior intention of learners.
Publisher
IGI Global
Subject
Computer Science Applications,Education
Reference50 articles.
1. Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors
2. Factors influencing students’ acceptance of m-learning: An investigation in higher education
3. Factors influencing the adoption of mHealth services in a developing country: A patient-centric study
4. Factors affecting online accounting education during the COVID-19 pandemic: an integrated perspective of social capital theory, the theory of reasoned action and the technology acceptance model
5. Technological innovations: a framework for communicating diffusion effects
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Exploring the Factors Affecting College Students' Intention to Use Online Teaching Platforms Through an Extended Technology Acceptance Model;International Journal of Web-Based Learning and Teaching Technologies;2024-07-17
2. Impact of technology self-efficacy on online learning effectiveness during the COVID-19 pandemic;Kybernetes;2023-01-24
3. The Effects of WhatsApp and Telegram on Student Engagement: An Analysis from the Mixed-Methods Approach;Education Research International;2022-07-13
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3