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Nora'ayu Ahmad Uzir

Researcher at Universiti Teknologi MARA

Publications -  16
Citations -  612

Nora'ayu Ahmad Uzir is an academic researcher from Universiti Teknologi MARA. The author has contributed to research in topics: Learning analytics & Self-regulated learning. The author has an hindex of 7, co-authored 15 publications receiving 207 citations. Previous affiliations of Nora'ayu Ahmad Uzir include University of Edinburgh.

Papers
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Journal ArticleDOI

A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning Perspective

TL;DR: Future research and development should not make any a priori design decisions about representation of data and analytic results in learning analytics systems such as LADs, and the model for user-centered learning Analytics systems (MULAS) is defined.
Proceedings ArticleDOI

Analytics of Learning Strategies: Associations with Academic Performance and Feedback

TL;DR: A positive association between the personalised feedback and the effective strategies is suggested and this research aims to examine the sequential and temporal characteristics of learning strategies and investigate their association with feedback.
Journal ArticleDOI

Analytics of time management strategies in a flipped classroom

TL;DR: It is shown that meaningful and theoretically relevant time management patterns can be detected from trace data as manifestations of students’ tactics and strategies and that time management tactics had significant associations with academic performance.
Proceedings ArticleDOI

Combining analytic methods to unlock sequential and temporal patterns of self-regulated learning

TL;DR: A combination of analyses provided a richer insight into SRL behaviours than any one single method, and it was found that better performing learners employed more optimal behaviours in their navigation through the course's learning management system.
Proceedings Article

Analytics of time management strategies in a flipped classroom

TL;DR: In this article, the authors explore time management strategies followed by students in a flipped classroom through the analysis of trace data and show that meaningful and theoretically relevant time management patterns can be detected from trace data as manifestations of students' tactics and strategies.