• Digital learning tools and platforms produce a lot of data on learners, content, etc. But it's not always easy to make the most of it.
  • And yet, using this data can help improve content, better understand learners' needs and have a greater impact.
  • This learning program will give you the basics you need to collect, process, analyze and deliver this data... for a more impactful digital learning strategy!

Next session: on request

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Our key ingredients
to success

Flexible

On-site or 100% remote

Accessible

Prices adapted to the companies' and employees’ needs

Social

A peer-to-peer learning community

Concrete

Operational activities, experience sharing and concrete cases

Learning objectives

At the end of the program, you will be able to:

  • Define your needs and relevant use cases for data usage
  • Clean up a data set for processing
  • Get to grips with a simple computer graphics or data visualization tool

Target

This program is for:

  • Head of HR and L&D
  • Digital Learning Manager
  • Learning program manager
  • Training organization director

Our offer

Inter-company program

Basis: 890€ pre-tax value/person
Option to be financed by OPCO
Intra-company (minimum of 5 participants) - on quotation

Included in the offer:

  • Personalized feedback from the Learn Assembly learning team on the work done during the program
  • 1 day face-to-face or two 3-hour virtual classes, led by experts in the use of analytics
  • Certificate of success delivered by Learn Assembly

Program
(On-site or 100% remote learning)

Part 1

Use cases and data collection

  • Learning objectives
  • Digital Learning tools and data: an overview of existing data
  • Identify usable data
  • Define relevant use cases

Part 2

Processing and analysis

  • Learning objectives
  • Clean up your dataset
  • Identify the biases and limitations of available data
  • Prepare your data file for integration into a data visualization tool
  • Select appropriate formats to analyze and present the results (pie charts, clouds, etc.)

Part 3

Presenting and communicating about the analyzed data

  • Learning objectives
  • Define the contexts where you will present the data (management, learning designers, trainers, learning facilitators, etc.)
  • Use visuals and graphics in your presentations
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