Mobile Learning Adoption at a Science Museum

Welch, Ruel, Alade, Temitope ORCID: https://orcid.org/0000-0002-8292-7613 and Nichol, Lynn (2020) Mobile Learning Adoption at a Science Museum. In: Advances in Intelligent Systems and Computing. Springer, London, pp. 726-745. ISBN 9783030522483

Text Mobile Learning Adoption at a Science Museum.pdf Restricted to Repository staff only Download (597kB) | Request a copy

Abstract

Funding cuts by the Department for Culture, Media and Sport (DCMS) in the UK has led to Service Level Agreement (SLA) breaches. This is due to an overstretched service desk team. To mitigate this problem, this paper investigates serving just-in-time knowledge in the form of knowledge base articles to service users via mobile learning. Mobile learning (mLearning) could reduce ICT support calls, increase productivity for both service desk staff and the service user. Moreover, it presents an opportunity to develop useful technical knowledge among non-ICT staff. However, challenges are pervasive in any technological adoption. This paper uses the unified theory of acceptance and use of technology (UTAUT) model to explain the determinants of mLearning adoption at a Science Museum (SM). Results indicate that the UTAUT constructs including performance expectancy, effort expectancy, social influence and facilitating conditions are all significant determinants of behavioural intention to use mLearning. A newly proposed construct, self-directed learning was not a significant determinant of behaviour intentions. Further examination found age and gender moderate the relationship between the UTAUT constructs. These findings present several useful implications for mLearning research and practice for ICT service desk at the SM. The research contributes to mLearning technology adoption and strategy.

Actions (login required)

View Item