How information presentation formats influence usage behaviour of course management systems: flow diagram navigation versus menu navigation
Pengfei Tang,
Zhong Yao,
Jing Luan and
Jie Xiao
Behaviour and Information Technology, 2022, vol. 41, issue 2, 383-400
Abstract:
Educational informatisation (e.g. e-learning, m-learning, massive open online courses (MOOCs)) has actively increased, leading to a greater focus on the design and development of course management systems. In this study, a research model based on cognitive fit theory and scanpath theory is proposed to investigate how information presentation formats (flow diagram navigation versus menu navigation) of a course management system influence user experience and intention. Performance load (cognitive load and kinematic load) and user perception (perceived usefulness and ease of use) are considered to evaluate user experience. The results of an eye tracking experiment utilised in this research reveal the following. First, information presentation formats can significantly influence user experience of course management systems. Second, flow diagram navigation fits students’ tasks better and leads to lower performance load and better use perception. Third, performance load and user perception shows a significant effect on user satisfaction and thereby affect the intention. These findings deepen our understanding of the importance of information presentation and enrich its theoretical foundation for course management systems development. Practically, these findings provide designers with guidelines on how to improve user experience and increase use intention by varying information presentation formats.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2020.1813331 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:41:y:2022:i:2:p:383-400
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2020.1813331
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().