βοΈImpact 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.)
Last updated