University - Learnlab

Colab

Colab enhances university teaching by increasing student engagement, breaking participation barriers, and giving professors real-time insights to improve learning outcomes. Students join with a simple code on any device, engaging through interactive features powered by AI analytics for dynamic and inclusive learning.

The steps are:

Multiple Choice: For voting or gaining insight into participant sentiment on a topic.
Word Cloud: Visualize group input in a creative, collective format.
Open Question: Free text format inputs. Use AI to gain deeper insights and suggest action points.
Survey: Get detailed responses on questions with editable scales.
Quiz: Test knowledge.
Match: Match concepts.
Analysis: Compile data and get AI-assisted analysis from quantitative and qualitative sources on the spot.

AI-generate your own Colabs
Select your topic and goals, and Learny will create interactive Colabs with images, content, and questions automatically.

Survey Mode

This function of Colab allows for new ways of conducting surveys, where there can be a collective learning experience as part of the survey, or it can be run in more traditional ways. Create organizational hierarchies in order to conduct surveys and compare results. Gather data through comprehensive surveys, collecting valuable feedback from large groups and analyze them with ease.

Key Features:

Quantitative & Qualitative Questions: Design surveys with both closed (quantitative) and open-ended (qualitative) questions, offering flexibility in the type of responses.
Effortless Distribution: Easily send survey links via email, simplifying the distribution process.
GDPR Compliance: Collect and store data in full compliance with GDPR standards, ensuring data privacy and security.
Hierarchical Organization: Create organizational hierarchies to compare survey results across different groups and analyze trends effectively.

AI Data Analytics

Analyze and interpret data in real time, offering instant feedback on both qualitative and quantitative inputs.

Here’s how it works:

Real-Time Analysis: As soon as data is collected (via surveys, quizzes, or other interactive activities), you can generate AI-analysis of the user inputs.
Qualitative & Quantitative Reporting: You can analyze both narrative (qualitative) and statistical (quantitative) data, helping to form a comprehensive understanding of learning outcomes.
Comparison, Filters & Data Exporting: You can compare groups from the hierarchy, create custom filters, and create highly adaptable reports based on your needs.

This capability allows educators to adapt their teaching strategies on the go, ensuring better learning experiences and outcomes.

Colab’s AI analytics ensure that each student’s voice is heard and analyzed, providing personalized insights and helping educators to tailor their teaching strategies or conduct research.

Interactive Features of Colab

Collective Learning with Built-In AI Insights

Learnlab allows participants to grow their understanding of key concepts through collaborative activities, where the AI helps interpret and guide the learning process. Each session can be built upon the group’s previous work, with the AI continuously evaluating inputs to suggest ways to improve collective outcomes.
Colab’s AI analytics ensure that each student’s voice is heard and analyzed, providing personalized insights and helping educators to tailor their teaching strategies.

Colab User Guide

Custom AI Models

Request a custom AI model tailored to your area of focus, using RAG (Retrieval-Augmented Generation) technology. This ensures content creation and student tracking are tailored to your field, leading to improved understanding and learning outcomes.

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Ready to see how Learnlab can enhance your university's learning environment with AI-powered data analytics?

Get a quote today to explore all the features in action!

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