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🎓 Education & EdTech

Every Learner. Every Signal.

Poor learning outcomes are a data problem. UgnayDiwa agents analyze how every learner engages with your platform or institution - surfacing at-risk students, curriculum gaps, and engagement failures before it's too late.

Explore Our AI Solutions
The Autonomous Education & EdTech Pipeline
① Step 1
Collect
LMS · Assessments · Engagement · Systems
② Step 2
Analyze
Patterns · Cohorts · Trajectories
③ Step 3
Identify
Gaps · At-Risk · Outliers · Trends
④ Step 4
Surface
Instructors · Advisors · Admins
⑤ Step 5
Optimize
Curriculum · Delivery · Pathways
⑥ Step 6
Report
Leadership · Accreditors · Boards
Agents Running Right Now
ugnaydiwa / education - live
Education & EdTech - Fully Autonomous
24/7 Intelligence. Zero Human Input.
🚨
14 at-risk students flagged - advisor alerts auto-sent
Login gaps, assessment score decline, and discussion non-participation combined into a risk score. Advisors notified with context
Action Taken 3s ago
📉
Module drop-off rate exceeded threshold - content review triggered
73% of students exit the Advanced Statistics module at lesson 4. Content quality flag raised. Curriculum team notified
Flagged 22s ago
📚
Curriculum gap detected in STEM pathway - skill cluster missing
Industry job requirement analysis cross-referenced with course outcomes. 3 critical skills absent from current curriculum
Surfaced 55s ago
🏆
High-performing engagement pattern identified - scaling recommended
Cohort using peer-review features shows 34% better completion rates. Pedagogical recommendation generated for broader rollout
Opportunity 2m ago
📋
Monthly learner outcomes report generated and submitted
Completion rates, assessment averages, at-risk interventions, and cohort benchmarks - assembled and distributed
Delivered 7m ago
500K+
Learners Monitored
24/7
Behavior Tracking
<24h
Intervention Speed
80+
Active Agents
ugnaydiwa / learner-analytics
Learner Analytics - Real Time
Know Every Student. Before They Fall Behind.
📡
Engagement signals monitored continuously
Login frequency, time-on-task, assessment cadence, and participation tracked per learner in real time
🔔
At-risk alerts fired to the right person
Dropout and failure signals surfaced to the advisor, instructor, or coordinator responsible - not just a dashboard
📊
Cohort progress benchmarked automatically
How each cohort compares against historical performance - trends surfaced without report requests
ugnaydiwa / curriculum-intelligence
Curriculum Intelligence - Automated
Build What the Industry Actually Needs.
🏭
Industry skill demand tracked continuously
Job market requirements parsed from postings and mapped against your curriculum outcomes - gaps surfaced automatically
📉
Drop-off and disengagement patterns detected
Where students stop completing, stop watching, or stop testing - found and flagged per module and cohort
💡
Content effectiveness scoring automated
Which modules, formats, and instructors produce the best outcomes - ranked and surfaced to curriculum leads
ugnaydiwa / completion-engine
Completion Intelligence - Proactive
Close the Gap Before It Opens.
🎯
Completion risk scored per learner per course
Combined signal model predicts who will not finish - with enough lead time for intervention to work
📬
Targeted intervention triggers automated
Re-engagement nudges, advisor check-ins, and content recommendations triggered based on each learner's risk profile
📈
Intervention effectiveness tracked over time
Which actions improve completion for which learner profiles - measured and fed back into the model continuously
ugnaydiwa / accreditation-reporting
Accreditation Reporting - Automated
Never Build Another Report From Scratch.
📋
Accreditation metrics tracked automatically
Program learning outcomes, assessment completion rates, faculty credentials - collected and maintained continuously
🗂️
Self-study documents auto-populated
Data for accreditor reports pulled from live systems - no manual data collection or formatting required
📊
Peer benchmarking intelligence active
Your outcomes compared against sector benchmarks - strengths and gaps identified before the site visit

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