Validation of a model of personalised learning

Bruce Waldrip*, Jeong Jin Yu, Vaughan Prain

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)


This article focuses on a Personalised Learning model which has 19 scales that were used to evaluate regional students’ perceptions of their readiness to learn, assessment processes, engagement, extent to which their learning is personalised and their associations with academic efficacy, academic achievement and student well-being. The data came from an average of 2700 students during each year of a 3-year study in six schools in provincial Victoria. A previously reported instrument was developed to measure students’ and teachers’ perceptions of the above factors affecting the implementation of Personalised Learning Plans (PLPs). It employed the latest scales to assess a range of PLP indicator variables, with all scales modified for use in an Australian context and with the total number of items kept to a minimum. Only scales that were more sensitive to PLPs were used in order to minimise the length of the instrument. There were three outcome variables: academic efficacy, academic achievement and student well-being. The emergent model demonstrates that addressing personalisation of learning and well-being depends on a combination of factors rather than “just getting one factor right”. This implies that there is a need for a coherent and collaborative approach for addressing the needs of students of low socioeconomic status.

Original languageEnglish
Pages (from-to)169-180
Number of pages12
JournalLearning Environments Research
Issue number2
Publication statusPublished - 1 Jul 2016
Externally publishedYes


  • Academic efficacy
  • Learning environment
  • Personalised learning
  • Structural equation modelling
  • Well being


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