Investigating working adults' intentions to participate in microlearning using the decomposed theory of planned behaviour

Shermain PUAH, Muhammad Iskandar Shah BIN MOHMAD KHALID, Chee Kit LOOI, Ean Teng KHOR

Research output: Contribution to journalArticlespeer-review

10 Citations (Scopus)

Abstract

The current work validated the decomposed theory of planned behaviour (DTPB) with working adults to assess its ability to predict intentions to participate in microlearning and also identify the significant factors that drive microlearning usage decisions. We found that positive attitudes towards microlearning (Attitude), stronger beliefs in others' opinions regarding microlearning use (SN), and stronger perceptions about one's capability to engage in microlearning (PBC), are associated with stronger intentions to participate in microlearning. All decomposed constructs were found to be significant predictors of the respective factors, except superior influence (SI) and resource facilitating conditions. We discuss potential targeted interventions focused on what works best to encourage microlearning adoption. For instance, while reporting superiors have no significant influence over one's microlearning use decisions, the opinions of peers and colleagues positively influence microlearning use. Hence, focusing on embedding community-related aspects into a microlearning design may effectively encourage the use of microlearning. Copyright © 2021 British Educational Research Association.
Original languageEnglish
Pages (from-to)367-390
JournalBritish Journal of Educational Technology
Volume53
Issue number2
Early online dateNov 2021
DOIs
Publication statusPublished - Mar 2022

Citation

Puah, S., Bin Mohmad Khalid, M. I. S., Looi, C. K., & Khor, E. T. (2022). Investigating working adults' intentions to participate in microlearning using the decomposed theory of planned behaviour. British Journal of Educational Technology, 53(2), 367-390. doi: 10.1111/bjet.13170

Keywords

  • Adult learning
  • Decomposed theory of planned behaviour
  • Lifelong learning
  • Microlearning
  • Technology acceptance

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