Learning Record Store

Open Source Learning Records Storage (LRS). LRS and Zoola allow you to identify all other data that would affect a person's learning experience and bring them all together.

Fabricantes: Lambda Solutions
Category: Utilitários
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What is Learning Record Store?

Open Source Learning Records Storage (LRS)

WHAT IS An LRS?

  • The Learning Record Store (LRS) is where all the data from your learning experiences is stored in the LMS and other sources.
  • It's like going from standard definition to 4K resolution, allowing you to take learning design to the next level.
  • Expand your data collection beyond your Learning Management System to include everything that shapes the learning experience.

THE POWER OF ZOOLA ANALYTICS AND LRS

By integrating the Learning Record Store with Zoola Analytics, you can quickly and easily gain a deep understanding of the learning experience you're providing.

Proving the impact of learning your research and development programs doesn't need to be limited to what's happening in your LMS. LRS and Zoola allow you to identify all other data that would affect a person's learning experience and bring them all together.

See the general image of all the data you paint. Easily organize, measure, analyze, and report, saving time, effort, and increasing the return on your learning investment.

BENEFITS OF ZOOLA ANALYTICS WITH LRS

FULLY COMPATIBLE

Zoola works with xAPI and LRS, so you can easily see the big picture of your research and development programs and find out where you can improve the learning experience.

SIMPLIFIED COMPLEX DATA

LRS can store large amounts of data that Zoola Analytics can automatically turn into easy-to-understand reports – saving time, effort, and frustration.

LOARNING RECORD STORE (LRS) VS. LEARNING MANAGEMENT SYSTEMS (LMS)

LRS and LMS are not the same and cannot be replaced by each other. However, LRS and LMS can work together to capture data that will allow you to better understand the context behind each learning experience.

Use this data-based knowledge to improve engagement, increase the effectiveness of your R&D programs, and prove the impact of those programs.

System requirements

Windows: Vista, 7, 8 and 10

Processor: any dual-core processor

RAM: 2 GB

Free hard drive space: 10 GB

Architecture: 32 and 64 bits

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