Mobile user typology as a candidate predictor in mobile learning adoption models, substituting for effort expectancy¶

Theory · All theories
Evidence · no claims cited

Description¶

The article proposes that the four-class mobile user typology derived from latent class cluster analysis — eclectic, Internet, basic, and offline entertainment users — be introduced into technology adoption models such as UTAUT and TAM, which currently omit user typology. The authors argue that "understanding the mobile user ty pology can enhance the designing of mobile learning" and that the typology "introduces mobile user typology as a potential predictor of mobile learning adoption". Empirically, the typology independently predicts behavioural intention and makes effort expectancy redundant, leading the authors to suggest "a mobile user typology variable seems to be a better inclusion in the technology adoption model than effort expectancy".

Design Implications¶

Context¶

Requirements¶

Data-driven determination of the salient user types via latent class analysis in the target context, since the article argues segment sets are contextually nuanced

Constraints¶

The typology independently explains only approximately 11% of variance in behavioural intention
It does not address nature of usage or content preferences
Results are from Caribbean higher-education students with data collected 2012–2013, limiting generalisability

Target Learners¶

higher education students
mobile phone users in higher education

Target Learning Objectives¶

adoption of mobile learning technologies
design of mobile learning aligned to user types

Claims¶

UTAUT framework for technology acceptance

Examples¶

Design mobile learning around the features students already use frequently, while recognising this is not a panacea

Key Sources¶

Singh, L. & Thomas, T. D. (2020). The Effect of Mobile User Typology on Mobile Learning Adoption in Higher Education. Asian Journal of Distance Education, 15(2). http://www.asianjde.org

Page metadata

Field	Value
`type`	`theory`
`title`	`Mobile user typology as a candidate predictor in mobile learning adoption models, substituting for effort expectancy`
`description`	`The article proposes that the four-class mobile user typology derived from latent class cluster analysis — eclectic, Internet, basic, and offline entertainment users — be introduced into technology adoption models suc...`
`status`	`review`
`generated`	by `process:wiki-ingest` on `2026-09-26`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `singh-2020`

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