Research method
Learning Analytics
Learning analytics uses digital trace and assessment data to understand and improve learning. In these papers it includes LMS engagement metrics, formative assessment performance, clustering of SRL traces, and AI-supported performance prediction.
Analytics promises early warning and personalization. The evidence here is mostly single-course mediation and prediction studies — useful methods, not proof that dashboards cause better learning.
Evidence
What the evidence shows
Drawn from 3 studies in this library. Each claim links to the studies behind it.
Online engagement and formative assessment performance can fully mediate the relationship between lecture attendance and final performance in a technology-enhanced course.
Combining AI performance prediction with learning analytics can reframe analysis of online collaboration and support identification of at-risk students.
Digital-trace clustering of SRL-related activity aligns with self-report profiles and course performance.
Common misconceptions
Predictive analytics guarantee who will fail.
These tools are decision aids from limited course contexts, not deterministic labels.
Exam-style questions
Short-answer questions that ask you to explain or compare, not recall.
What does full mediation of attendance by online engagement and formative scores imply?
Once engagement and formative performance are accounted for, attendance may no longer show a direct path to final scores — suggesting those process measures carry the explanatory weight in that course.
The studies
- Can AI prediction dashboards help online groups?
Combining AI performance prediction with learning analytics reshaped analysis of online graduate groups' collaboration in an engineering course.
- Online engagement mediates attendance and grades
In a technology-enhanced education course, LMS engagement and formative assessment scores fully mediated the link between lecture attendance and final performance.
- Self-report and traces of blended SRL
In a blended computer-systems course, self-report and LMS-trace clustering both revealed coherent SRL profiles that aligned with online activity and course performance.
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