Abstract / Description of output
The designs of many student-facing learning analytics (SFLA) dashboards
are insufficiently informed by educational research and lack rigorous
evaluation in authentic learning contexts, including during remote
laboratory practical work. We present and evaluate an SFLA dashboard
designed using the principles of formative assessment to provide
feedback to students during remote lab activities. Feedback is based
upon graphical visualisations of student actions performed during lab
tasks and comparison to expected procedures using TaskCompare - our
custom, asymmetric graph dissimilarity measure that distinguishes
students who miss expected actions from those who perform additional
actions, a capability missing in existing graph distance (symmetrical
dissimilarity) measures. Using a total of
N=235
student graphs collected during authentic learning in two different
engineering courses, we describe the validation of TaskCompare and
evaluate the impact of the SFLA dashboard on task completion during
remote lab activities. Additionally, we use components of the Motivated
Strategies for Learning Questionnaire (MSLQ) as covariates for
propensity score matching (PSM) to account for potential bias in
self-selection of use of the dashboard. We find that those students who
used the SFLA dashboard achieved significantly better task completion
rate (nearly double) than those who did not, with a significant
difference in TaskCompare score between the two groups (Mann-Whitney
U=453.5
,
p<0.01
, Cliff's
δ=0.43
, large effect size). This difference remains after accounting for
self-selection. We also report students' positive rating of usefulness
of the SFLA dashboard for completing lab work is significantly above a
neutral response (
S=21.0
,
p<0.01
). These findings provide evidence that our our SFLA dashboard is an
effective means of providing formative assessment during remote
laboratory activities.
Original language | English |
---|---|
Pages (from-to) | 1037-1050 |
Journal | IEEE Transactions on Learning Technologies |
Volume | 17 |
Early online date | 15 Jan 2024 |
DOIs | |
Publication status | Published - 2024 |
Keywords / Materials (for Non-textual outputs)
- learning analytics
- formative assessment
- feed-back
- Feedback
- remote learning
- online learning
- self-regulated learning
- Graphs
- graphs
- learning analytics (LA)
- self-regulated learning (SRL)