β˜‘οΈImpact study

Interoperability: Impact study ontology

In short:

  • This building block will improve the evaluation of digital solutions through harmonized impact measurements, detection of key criteria allowing their qualification/recommendation, Federating data and learning traces of learners, pedagogical teams, declarative questionnaires to the monitoring of the use of resources.

Timeline

Start date: T0 (T0 = expected: Q1 2023)

End date : T0 + 13 months

Duration (in months): 12

Where we are now

  • We have developed a method called "impact stories", like the "user stories" known in UX/UI.

    To refine the development of tools, we had working sessions with different academic and private actors: LORIA, INSHEA, AVISE.

  • We have developed a dashboard prototype, in partnership with Latitudes - Tech For Good and ECE students, engineering school, Paris.

  • Read more on the progress here

  • Want to learn more and join the effort: join here!

Objectives and Expected Outcomes

The objective of this building block is to implement the impact study use case.

This use case is used to improve the evaluation of digital solutions through harmonized impact measurements, detection of key criteria allowing their qualification/recommendation, Federating data and learning traces of learners, pedagogical teams, declarative questionnaires to the monitoring of the use of resources

- Benchmark data to measure the impact of Edtech solutions

- Multi-factor impact measurement

- Export data for analysis

- Visualization of harmonized impact data

- Facilitates the valuation of Edtech solutions and their relative positioning

- Classification and extrapolation of data

Scope

  • State of the art of qualitative and quantitative measurement criteria and tools used in the field of education and training

  • Establishment of an interoperability framework, modeling of priority functionalities, definition of reference data, signs of change and their time scales, mapping - Development of a pilot dashboard template kit

  • Tests

  • Implementation of the interoperability plugin for the collection API and integration of different data sources

Deliverables

#

Availability

Deliverable

2.1.1

T0 + 4

Documents: state of the art, quantitative & qualitative study

2.1.2

T0 + 8

Specification and confrontation with ecosystem actors

2.1.4

T0 + 12

API for collecting and integrating different data sources (LRS, analytics, surveys, etc.)

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