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AI-Powered · Student Success Tool

Free AI Student Engagement Score Analyzer

Enter attendance, assignment completion, participation, LMS activity, and assessment trends — AI generates a 0–100 engagement score with a dimension breakdown, plain-language insights, risk flags, and prioritised recommendations.

AI-generated output · Free account required · Results may vary

The AI Student Engagement Score Analyzer helps school admins, teachers, advisors, and parents move beyond single-metric monitoring. Combine up to six engagement signals, set your minimum score threshold, and receive a structured AI report with a composite score, dimension breakdown, pattern insights, risk flags, and actionable recommendations.

Student / Class Details
Engagement Signals
Analysis Options optional
Rule-based score previewEnter required fields
Attendance, assignments, and participation required
~12 credits · ~820 tokensfixed cost per analysis

Enter student ID, reporting period, attendance %, assignment completion %, and participation level to enable AI analysis

AI-generated content. Review before use — outputs may contain errors or require adjustments for your specific context.

Your engagement report will appear hereFill in the student signals on the left and click Generate — you'll get a composite score, dimension breakdown, risk flags, and prioritised recommendations.

How to Analyze Student Engagement in 3 Steps

Follow these steps to get results in under a minute

01
Enter student or class details
Add the name or ID, reporting period, attendance %, assignment completion %, participation level, and any additional engagement signals.
02
Generate the engagement analysis
Set your minimum score threshold, choose a report tone, confirm the credit estimate, and receive an AI-generated engagement score report in seconds.
03
Review insights and act
Read the composite score, dimension breakdown, key strengths, risk flags, and prioritised recommendations. Copy or download as PDF to share with advisors or parents.
Common Questions

Free AI Student Engagement Score Analyzer FAQ

What is an AI student engagement score analyzer?
An AI student engagement score analyzer combines attendance, assignment completion, participation, LMS activity, assessment performance, and extracurricular signals into a single 0–100 engagement score with plain-language insights, risk flags, and recommendations.
How do I use the AI student engagement score analyzer?
Enter the student or class ID, reporting period, and fill in the engagement signals — attendance %, assignment completion %, participation level, LMS activity, and assessment trend. Set your minimum threshold and click Generate.
Is this AI student engagement score analyzer free?
Free accounts include 100 AI credits. Each analysis uses 12 credits. Sign up free to get started.
Who should use this AI student engagement score analyzer?
School admins, class teachers, academic advisors, student services teams, and parents can use it to quickly identify engagement levels and act before disengagement becomes a dropout risk.
How do I export results from the AI student engagement score analyzer?
After generation, use Copy to paste the report into emails or dashboards, or Download PDF to save a formatted engagement score report.

How AI Student Engagement Score Analyzer Compares

vs spreadsheets, manual processes, and paid platforms

FeatureUniCloud360AI Student Engagement Score AnalyzerManual tracking spreadsheetSingle-metric attendance reportEnterprise student success platform
Multi-signal engagement scoreYesComposite 0–100 score across 6 dimensionsWarnManual weighted calculationNoSingle metric onlyYesAvailable in mature platforms after setup
Dimension score breakdownYesAttendance, assignments, participation, LMS, assessment, extracurricularWarnManual column entryNoNot availableYesDashboard-driven
Plain-language insightsYesAI explains what the score means in contextNoData only — no interpretationNoNo insights generatedWarnRequires configured report templates
Risk flagsYesFlags engagement gaps with contextWarnManual colour-codingWarnThreshold alert onlyYesWorkflow-triggered alerts
Prioritised recommendationsYesHigh / medium / low actions per dimensionNoMust be written manuallyNoNot includedWarnRequires advisor workflow configuration
Best fitYesFast, multi-signal engagement analysis for admins, teachers, and advisorsWarnSmall caseloads with time for manual workWarnMonitoring with no actionable outputWarnLarge institutions with implementation budget

What Educators and Student Success Teams Say

Trusted by lecturers and students across Sri Lankan universities

4.8
*****
134 ratings
AD
Amara Diallo
Academic Advisor
*****

"The score breakdown across attendance, participation, and LMS activity gives me a much richer picture than attendance alone. I use it before every advising meeting."

JT
James Thornton
Head of Student Services
*****

"The risk flags and recommendations are exactly what our retention team needs. It surfaces issues we would have missed until mid-semester."

NK
Nalini Krishnamurthy
Class Teacher
****-

"The plain-language narrative report makes it easy to share findings with parents — no jargon, just a clear picture of how the student is engaging."

RM
Rodrigo Mendes
Registrar
*****

"We run this for at-risk cohorts at week 6 and week 10. The insights section reliably catches the engagement patterns that predict withdrawal."

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