Student performance analytics
Results by class, cohort, subject and teacher, with trends across terms and comparisons between campuses.
Data Analytics · Education
Education Data Analytics & Student Performance Analytics
Bring grades, attendance, LMS activity and admissions data together. See which students are slipping, which programs will fill and where to put staff, while there is still time to act.
Overview
Education data analytics that flags struggling students early
Schools and universities record data about learning every day, and most of it is never looked at together. Grades live in the SIS, attendance in a register or app, engagement in the LMS, applications in the admissions CRM and fees in the finance system. Education data analytics joins those sources so principals, deans and program heads can see how students are doing this week, not in an end-of-term report.
We build the pipelines, the warehouse and the dashboards. Student performance analytics shows results by class, cohort, subject and teacher. Learning analytics shows which modules students open, where they stop and which assessments they struggle with. On top of that, predictive models flag students at risk of failing or dropping out based on patterns in attendance, grades and LMS activity, so tutors and counsellors can step in early. Enrollment forecasting estimates intake by program and campus from your funnel data, which feeds staffing, timetabling and housing plans.
Predictions inform staff; they never decide anything about a student on their own. Every risk flag shows the factors behind it and goes to a person who knows the student. Data is access-controlled by role, de-identified where names aren't needed, and stored in a way designed to support FERPA, GDPR and UAE and Saudi PDPL requirements.
Dashboards can live in Power BI, Looker Studio or a custom admin panel, like the analytics panel we built for AA JoyLand's WhatsApp chatbot. If you already run a chatbot or voice agent, its conversation data can feed the same dashboards.
Use cases
AI Data Analytics use cases in Education
Learning analytics
LMS engagement, content completion and assessment patterns that show which modules work and where students get stuck.
Dropout prediction
Early-warning scores built from attendance, grades and engagement, with the reasons behind each flag for tutors to review.
Enrollment forecasting
Projected intake by program, campus and start date from enquiry, application and deposit data.
Admissions funnel analytics
Conversion from enquiry to application to enrolment by source, country and program, so recruitment budgets go where they work.
Student and parent feedback analysis
AI groups survey comments and chat transcripts by theme and sentiment so leaders see what drives satisfaction.
How it works
How it works
- 01Connect your sourcesSecure pipelines pull data from your SIS, LMS, admissions CRM, attendance system and spreadsheets.
- 02Match and clean student recordsRecords are de-duplicated and linked across systems so each student, class and program has one consistent view.
- 03Build role-based dashboardsLeadership, heads of department, teachers and admissions each see the metrics they own.
- 04Run predictive modelsMachine-learning models score dropout risk and forecast enrollment, refreshed as new data arrives.
- 05Alert the right peopleTutors, counsellors and managers receive alerts and scheduled reports by email, Teams or WhatsApp.
Capabilities
Key features
Single student view
Grades, attendance, engagement and support history for each student in one place, for staff with permission.
Explainable risk scores
Each flag lists the factors behind it, such as falling attendance or missed submissions, so staff can judge it.
Role-based access
Teachers see their classes, heads see their departments and leadership sees the whole institution.
Natural-language questions
Ask things like "which Year 10 classes have the lowest attendance this month?" and get an answer.
Privacy by design
De-identification, row-level security, retention limits and access logs for student data.
Scheduled reporting
Weekly and termly reports generated and sent automatically, ready for board and inspection meetings.
Integrations
Works with your Education stack
- PowerSchool
- Ellucian Banner
- Moodle
- Canvas LMS
- Blackboard
- Google Classroom
- Slate
- Power BI
- Looker Studio
- BigQuery
- PostgreSQL
- Excel / Google Sheets
Using something else? If it has an API, a database or a webhook, we can connect to it.
Outcomes
Benefits for Education teams
Earlier intervention
Students who are slipping are flagged weeks sooner, while support can still change the outcome.
Better intake planning
Forecasts give you time to adjust sections, staffing and marketing before the term starts.
One set of numbers
Academic, admissions and finance teams stop arguing about whose spreadsheet is right.
Teachers see their classes clearly
Class-level views show who needs attention without teachers building their own trackers.
Our work
Related Work
FAQ
AI Data Analytics for Education: FAQs
What is education data analytics?
It is the practice of combining academic, engagement, admissions and operational data to understand how students and programs are doing and to predict what comes next. Common uses are performance tracking, early warning and enrollment planning.
How does dropout prediction work?
A model learns from past students which patterns, such as falling attendance, late submissions or low LMS activity, came before withdrawal. It then scores current students and explains each score so tutors can decide whether to reach out.
Is it fair to use AI to predict which students will drop out?
It can be, if it is used to offer support and never to penalize. We check models for bias across student groups, show the reasons behind every flag and keep all decisions with staff.
Can you combine data from our SIS and LMS?
Yes. We build secure pipelines from systems such as PowerSchool, Ellucian Banner, Moodle and Canvas into one warehouse, so attendance, grades and engagement line up for each student.
How accurate is enrollment forecasting?
It depends on how much funnel history you have and how stable your programs are. We test forecasts against past intakes before you rely on them and show a range rather than a single number.
Can we keep using Power BI?
Yes. We can deliver dashboards in Power BI or Looker Studio, or build a custom panel if you need something tailored for teachers and parents.
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Find the students who need help before the exam does.
Share what you track today and where it lives. We'll show you what a first dashboard and early-warning model would look like on your data.