LearningLemur Overview

LearningLemur is a web-based assessment and content creation platform designed to help educators create interactive math quizzes and practice activities. It combines structured quiz authoring, random variable generation, and AI-assisted question creation to support scalable and flexible math assessment workflows. There are integrations available for the following LMSs:

• Google Classroom (with and without the add-on)
• Blackboard (via LTI 1.3)
• Canvas (via LTI 1.3)
• D2L/Brightspace (via LTI 1.3)

What It Is

LearningLemur is an online tool that enables teachers to create, manage, and share interactive math quizzes. It provides structured quiz authoring capabilities, including support for dynamic question generation using random variables and advanced logic.

The platform is designed to integrate into common educational environments, such as Google Classroom and other learning management systems (LMS), allowing teachers to embed quizzes into their existing workflows.

LearningLemur focuses on making math assessment creation efficient, reusable, and adaptable to different classroom contexts.

Why It Matters

Creating math assessments often requires repetitive formatting, manual content adaptation, and limited reusability of exercises. Teachers frequently rely on static materials that cannot be easily customized or regenerated.

LearningLemur addresses these challenges by:

• Enabling reusable quiz structures
• Supporting dynamic question generation through random variables
• Allowing public sharing and reuse of quizzes through a content bank
• Integrating directly into LMS environments to reduce friction

This improves teacher productivity, supports differentiated learning, and enables scalable assessment strategies.

How It Works

LearningLemur follows a structured workflow that guides you from quiz creation to student practice. Each stage is supported by specific features and tools.

Stage 1: Quiz Creation

Teachers create a quiz as the container for questions. Each quiz can include multiple question types, including dynamic questions powered by random variables.

Learn more about them:

• Understanding the LearningLemur Workspace
• Exploring the My Quizzes page
• Using the Public Content Bank
• How LearningLemur questions work

Stage 2: Question Authoring

Within a quiz, teachers create questions using structured inputs. Questions may include:

• Static content
• Random variables with conditions
• AI-assisted generation
• Automatic evaluation rules

Learn more about them:

• Understanding Question Types in LearningLemur
• Creating questions in LearningLemur
• Creating questions with AI in LearningLemur

Stage 3: Delivery and Practice

Quizzes can be assigned or shared with students. They can be:

• Assigned through an LMS (e.g., Google Classroom)
• Shared publicly
• Used in student-only mode for independent practice

Learn more about them:

• LearningLemur integration with Google Classroom
• LearningLemur integration via LTI

Key Rules or Behaviours

• Questions must belong to a quiz; they cannot exist independently.
• Random variables are generated per attempt, ensuring variation across students.
• Public quizzes can be reused and edited by other teachers.
• Some features (such as LMS integration) depend on proper authorization and configuration.

Examples

Example 1: Automatic assessment

LearningLemur evaluates answers based on mathematical equivalence, not just exact text matching. For example, the expressions 2(x + 1) and 2x + 2 are considered equivalent and can both be accepted as correct answers.

This allows teachers to focus on mathematical correctness without having to manually define all possible valid forms.

Example 2: Additional properties

In some cases, not only the value of an answer matters, but also its form. For example, when teaching algebraic manipulation, you may want students to provide a factorized expression rather than an expanded one.

LearningLemur allows you to enforce these constraints and define partially correct answers with specific feedback.

Example 3: Random parameters

LearningLemur allows you to generate dynamic questions by defining random variables and expressions. For example, a question can include parameters that change for each attempt, ensuring that each student receives a different version.

All generated variations are evaluated using the same logic, making the question reusable and scalable.

Example 4: Units of measurement

LearningLemur supports units of measurement, making it suitable for subjects beyond mathematics, such as physics or chemistry. For example, a time value such as 2h 20min can also be correctly expressed as 140min or 2.33h.

The system automatically evaluates equivalent units, ensuring accurate grading across different representations.

Example 5: AI-generated question

LearningLemur includes AI-assisted question generation to help create draft content quickly.

A teacher can provide a structured prompt, and the system generates a question that includes:

• A problem statement
• A correct answer
• Basic evaluation settings

The generated content can then be reviewed and refined before use.

Common Misunderstandings

Misconception: LearningLemur is only a quiz delivery tool

Clarification: It is both a quiz authoring and delivery platform, including dynamic generation and logic control.

Misconception: Random variables can only take on simple intervals

Clarification: LearningLemur supports conditional logic and advanced expressions for more complex generation scenarios.

Related Concepts

Learn more about how LearningLemur works and how it integrates with other platforms:

• LearningLemur integration with Google Classroom
• LearningLemur integration via LTI

If you want to start using LearningLemur:

• Understanding the LearningLemur Workspace
• Exploring the My Quizzes page
• Using the Public Content Bank
• How LearningLemur questions work