In Search of Alignment between Learning Analytics and Learning Design: A Multiple Case Study in a Higher Education Institution
- Publication Type:
- Journal Article
- Citation:
- MDPI Education Sciences, 2023, (Using Learning Analytics for Personalised, Data-Informed Feedback and Support: Studies of Impact, Challenges, and Future Directions), pp. 1-21
- Issue Date:
- 2023-11-07
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Learning design (LD) has increasingly been recognized as a significant contextual element
for the interpretation and adoption of learning analytics (LA). Yet, few studies have explored how
instructors integrate LA feedback into their learning designs, especially within open automated feedback
(AF) systems. This research presents a multiple-case study at one higher education institution to
unveil instructors’ pilot efforts in using an open AF system to align LA and LD within their unique
contexts, with the goal of delivering personalized feedback and tailored support. A notable finding
from these cases is that instructors successfully aligned LA with LD for personalized feedback through
checkpoint analytics in highly structured courses. Moreover, they relied on checkpoint analytics as
an evaluation mechanism for evaluating impact. Importantly, students perceived a stronger sense of
instructors’ support, reinforcing previous findings on the effectiveness of personalized feedback. This
study contributes essential empirical insights to the intersection of learning analytics and learning
design, shedding light on practical ways educators align LA and LD for personalized feedback
and support.
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