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What ClassEngage AI Does

ClassEngage AI helps educators and institutions measure how well a lecture or session is landing, at the class level:

Overall class engagement score per session — how interactive and participatory was the lecture as a whole.

Session-level participation patterns — aggregate question frequency, hand-raises, and group discussion activity.

Lecture effectiveness trends — compare engagement scores across sessions, subjects, time slots, and teaching formats.

Teaching method benchmarking — identify which pedagogical approaches drive the highest class-level engagement.

Curriculum feedback loops — data-backed insights that help departments refine course content and delivery.

All insights are delivered at the class, session, or department level — never at the individual student level.

Why It Matters

Improve teaching outcomes with real engagement data measured across the entire classroom, not surveillance of individuals.

Identify which sessions, time slots, and teaching formats drive higher participation — and replicate them.

Support educators with actionable, aggregate insights that improve lecture delivery without singling out students.

Strengthen curriculum design through evidence-based feedback on what works and what does not.

Satisfy accreditation requirements with verifiable, timestamped attendance records and session-level engagement evidence.

Key Capabilities

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Class-Level Engagement Scoring

Every lecture receives an aggregate engagement score based on observable classroom-wide signals: participation frequency, group interaction levels, and overall session energy. Faculty see how each session performed, not how individual students behaved.

Automated Attendance + Engagement Evidence

Class-level engagement analytics combined with verified, timestamped attendance records. Supports R2T4 documentation (last date of academic engagement) and accreditation requirements (NAAC, UGC, AICTE). Exportable to SIS and LMS via API.

Session and Subject Benchmarking

Compare engagement scores across subjects, faculty, time slots, and teaching formats. Identify patterns: Does the 8 AM section consistently score lower? Do lab sessions outperform lectures? Use data to optimize scheduling and pedagogy.

Hybrid and Physical Class Support

Works seamlessly in both in-person and mixed-mode environments using existing CCTV infrastructure. No additional hardware, no student-facing apps, no wearables.

Lecture Effectiveness Reports

Consolidated reports show engagement trends over the semester. High-performing sessions, sessions needing attention, and engagement patterns by subject and time slot. Faculty effectiveness is measured by session outcomes, not surveillance.

How It Works

Camera feeds processed at the edge.

Existing classroom cameras are connected to Vizenta. Video is processed on-premise and discarded. No footage is stored or transmitted.

ggregate engagement signals captured.

AI analyzes class-wide participation patterns, interaction frequency, and overall session dynamics. No individual face tracking, no emotion scoring.

Engagement score generated per session.

Each lecture receives a class-level engagement score. Scores appear instantly on the faculty and admin dashboard.

Trend reports delivered.

Institutions receive consolidated reports: engagement by subject, by time slot, by teaching format. Semester-over-semester benchmarking included.

All insights are delivered instantly to faculty, administrators, and academic leaders.

Why Institutions Choose Vizenta Class Engage

Zero manual tracking — aggregate engagement measured automatically from existing cameras.

Real-time dashboards — faculty and admins see session scores as lectures complete.

No new hardware — works with your existing CCTV. No student-facing apps or wearables.

Privacy-first — class-level analytics only. No individual emotion, attention, or behavior scoring. Sealed Identity architecture.

Compliance-ready — designed to support FERPA, DPDP, NAAC, UGC, AICTE. On-premise processing.

LMS and SIS integration — engagement and attendance data flows to your academic systems via API.

Deployment in weeks — connects to existing infrastructure. Minimal IT overhead.

Measure How Engaging Your Lectures Are

Outcomes

Real Outcomes From Class Engage AI

Measure How Engaging Your Lectures Are

Outcomes

Real Outcomes From Class Engage AI

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