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Metadata
  • Id: EU.AI4T.O1.M3.1.6t
  • Title: 3.1.6 Template for AI characterisation
  • Type: text
  • Description: Get a first understanding of AI characteristics
  • Subject: Artificial Intelligence for and by Teachers
  • Authors:
    • AI4T
    • Jiajun Pan
    • Azim Roussanaly
    • Anne Boyer
  • Licence: CC BY 4.0
  • Date: 2022-11-15

A Template for AI characterisation

Although Artificial Intelligence Educational Resources -AIERs- are becoming increasingly common, there is currently no tool to comprehensively map the characteristics of AIERs and help users make informed use of these resources.

The LORIA1 Research Laboratory specifically designed a template for AI characterisation2 at the scientific, technical, regulatory, and ethical levels to help teachers to better understand the resources they or their students use.

It is organised in different layers that cover all the features of the AIER, from usage scenarios to the transparency mechanism to explain the decision proposed by the AI.

Want to know which questions to ask when using AI tools in Education?

Click on the image below and have a look at the ready-to-use format of The Template for Analysing AI Educational resources.

A Ready to Use template for AI resources Characterisation

The Template in a ready-to-use format3 can also be uploaded and filled in for your own AI Educational tools and resources.

**Note** : The version of the Template presented here is that of January 2023,
the start of the experimental phase of the project.

  1. Loria Lorraine Research Laboratory in Computer Science and its Applications is part of a research unit (UMR 7503), common to CNRS, the University of Lorraine and INRIA. It is a member of the AI4T consortium and brings its expertise in AI in education (and on learning analysis) to AI4T Erasmus+ project. ↩

  2. Report on template for analyzing AI-related features in learning resources - Jiajun PAN, Azim ROUSSANALY, Anne BOYER - AI4T Erasmus+ project, 2022. ↩

  3. Ready to Use template for AI resources Characterisation - Inria Learning Lab, Jiajun PAN, Azim ROUSSANALY, Anne BOYER - AI4T Erasmus+ Project - 2022 ↩