Glossary

VEGA AI Platform Glossary

A

Adaptive Learning A teaching method that uses AI to adjust content difficulty and pace based on student performance.

AI Avatar A digital teaching assistant powered by artificial intelligence that represents an educator and provides 24/7 support to students.

Analytics Dashboard A visual interface showing real-time data about student performance, engagement, and learning patterns.

ARPU (Average Revenue Per User) A metric that measures the average revenue generated per user over a specific time period.

B

Batch A group of students organized together for learning purposes.

Browser Restrictions Security settings that control how students can access tests and content during assessments.

C

CAC (Customer Acquisition Cost) The cost associated with acquiring a new customer/user for the platform.

Content Generation AI-powered creation of educational materials, questions, and assessments.

Course Deployment The process of making a course available to students after setup and configuration.

Custom AI Tools Specialized AI features that can be created and configured for specific teaching needs.

D

Diagnostic Test An assessment that evaluates a student's current knowledge level and identifies areas for improvement.

Digital Twin Another term for AI Avatar - a digital representation of an educator that can interact with students.

E

Exit Ticket A quick assessment given at the end of a lesson to check understanding.

F

Full-length Test A comprehensive assessment that covers multiple topics and typically mirrors standardized test formats.

G

GTM (Go-to-Market) Playbook Strategic guidelines for launching and marketing the platform in new regions or markets.

H

Hybrid Learning A teaching approach that combines traditional classroom methods with digital learning tools.

I

Integration The process of connecting VEGA AI with other educational tools or systems.

K

Knowledge Base A collection of teaching materials and resources used to train the AI Avatar.

L

LQ Mastery Level A measurement system that indicates a student's proficiency in specific subject areas.

Learning Analytics Data-driven insights about student learning patterns and performance.

M

Mock Test A practice test that simulates the format and conditions of an actual examination.

Mastery-Based Learning An educational approach where students must demonstrate thorough understanding of a topic before advancing.

O

Observability Layer A feature that provides visibility into how the AI system learns from and adapts to student interactions.

P

Performance Analytics Detailed metrics about student achievement and progress.

Practice Mode A learning environment where students can attempt questions without time pressure or formal grading.

Q

Question Bank A repository of assessment questions categorized by subject, difficulty, and topic.

R

Real-time Progress Tracking Continuous monitoring of student performance and engagement as it happens.

Review Mode A feature that allows students to analyze their answers and learn from mistakes.

S

Study Plan Generator An AI tool that creates personalized learning schedules based on student performance and goals.

Student Journey The progression of a student through various learning activities and assessments.

T

Test Controls Settings that manage how students can interact with assessments (timing, navigation, etc.).

Time Efficiency A metric measuring how quickly students complete tasks relative to expected duration.

U

User Roles Different levels of platform access and permissions (Admin, Manager, Teacher, Student).

V

VEGA AI Tools The suite of AI-powered features available on the platform for teaching and learning.

Common Abbreviations

• API: Application Programming Interface

• LMS: Learning Management System

• LXP: Learning Experience Platform

• MCQ: Multiple Choice Question

• DSAT: Digital SAT

• UI: User Interface

• UX: User Experience

Technical Terms

Browser Compatibility Minimum requirements for web browsers to properly display and run the platform.

Data Analytics The process of examining data sets to draw conclusions about the information they contain.

Responsive Design Platform's ability to adjust its display for different screen sizes and devices.

API Integration The connection of VEGA AI with other software systems through programming interfaces.

Assessment-Related Terms

Question Difficulty Levels

• Novice: Basic level questions

• Intermediate: Moderate complexity

• Advanced: Higher difficulty

• Expert: Most challenging

Assessment Types

• Diagnostic: Initial evaluation

• Formative: Ongoing progress checks

• Summative: Final evaluation

• Mock: Practice tests