Evaluating student satisfaction with online hackathon for IT projects

Author:

Oyetade Kayode1ORCID,Harmse Anneke1ORCID,Zuva Tranos1ORCID

Affiliation:

1. Department of Information and Communication Technology, Faculty of Applied and Computer Science, Vaal University of Technology, Vaal, SOUTH AFRICA

Abstract

Hackathons are growing more virtual, especially after the COVID-19 epidemic started since they attract many participants at once from different places and time zones. This study intends to identify factors that influence students’ satisfaction with online hackathon for IT projects. The study used quantitative methodology and proposed a model. The model was developed using technology acceptance model variables (perceived usefulness [PU], perceived ease of use [PEOU], behavioral intention [BI]) in combination with self-efficacy (SE) and satisfaction variables. The study questionnaire was distributed to 180 university students who have participated in a hackathon. The results were measured for reliability and validity (Cronbach’s alpha was used for reliability while confirmatory factor analysis was used for validity. The hypothesis in the suggested model were assessed using structural equation modeling technique. The results show that BI and PEOU have no influence on students’ satisfaction with using online hackathon for IT projects. However, it was discovered that students’ satisfaction with online hackathon for IT projects is influenced by PU and SE. These findings imply that creating online courses that participants perceive as useful and see themselves as having high SE in their projects will further enhance satisfaction with online hackathons. It might also encourage and facilitate the use of online hackathons among students. Universities should routinely provide instruction and advice to students to help them understand the advantages of online courses. In summary, the research will be useful to decision-makers and educators in universities to further the integration of online hackathons for IT projects in the curriculum. Future recommendations should consider the use of additional technology adoption variables as well as testing the data with a qualitative methodology.

Publisher

Modestum Ltd

Subject

Applied Mathematics,Education

同舟云学术

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