dc.description.abstract |
This research was aimed at developing a framework that could be utilised to
assess the maturity level of learning analytics (LA) in virtual learning environment
(VLE) in higher education institutions (HEI). The assessment of the maturity level
of LA in VLE in HEI contributes to enhancing the educational learning
programmes and academic services offering to the learners. The successful
implementation of LA in an HEI could help improve teaching and learning
processes, thereby improving students’ learning experiences (Larrabee
Sønderlund et al., 2019; Sclater et al., 2016; Waheed et al., 2020). However,
most HEIs often do not know where to start from in implementing programmes
for using VLE and LA; thus, the contribution of this study to offer guidance for
HEIs.
In order to develop the LA maturity assessment framework, a multi-phases
methodological approach was adopted which involved 6 key phases
(understanding the literature, a field study to gain a high-level perspective of VLE
and LA, development of LA maturity model, development of a performance
measurement tool, formulation of road map recommendations, and case study
validation and expert judgment).
The developed LA maturity model comprises of five levels: basic (level 1),
developing (level 2), functional (level 3), advanced (level 4) and optimised (level
5). In determining these LA maturity level, the performance measurement tool
has to be applied. This performance measurement tool assesses an HEI’s
performance in four key components of LA: process, infrastructure, data and
human resources and skills. The LA maturity model and performance
measurement tool facilitate the road map recommendations. Based on an HEI’s
assessed LA maturity level, recommendations are suggested on how progress
can be made in LA implementation.
The developed LA assessment framework was validated through case studies
(PAAET and Cranfield University) and expert judgement that proved its validity
and application to different educational contexts. The case study validation
showed the differences in performance scores and maturity levels of the two HEIs
with specific recommendations relevant to each context being made. Expert
judgements highlighted the contribution of the framework to LA which is a
relatively new area of research. |
en_UK |