Research method
Learning Analytics
3 studies
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.
Studies
3
Findings
3
3 supporting · 0 challenging · 0 qualifying citations
Open tensions
0
Currently
What we know
- 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.
Related
Claim ledger
What the evidence shows
Drawn from 3 studies in this library. Mix labels say which citation roles are present; they are not a strength score. Supports means evidence for a finding; Challenges means evidence against a stated position; Qualifies marks scope.
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.
Timeline
How understanding moved
Study years are when the paper was published. Evidence edits are dated changes to this page's claims. Explanations are when PaperFren added a Discovery — not a claim that the science happened that day.
2026
Concept page published
Learning Analytics
Change log
What changed
Dated edits to this page's evidence: studies added or removed from a claim, claims added or withdrawn, and new explanations tagged here. Coverage edits are distinct from reviewed research changes and corrections. Dates record PaperFren updates; study publication dates appear in the timeline.
- Coverage updated · Concept page published
Papers
3 studies in this library bear on Learning Analytics, ordered by citations.
- 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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Questions
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Ask PaperFren about Learning Analytics
Study this conceptflashcards and short-answer questions
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.