Skills
Skill-based evaluation
relying on observables


Principles of use




Pedagogic monitoring by instructor team:
- each instructor enters their observations in the app, on their own device or on a shared device.
- if using an own device, they send a file issued by the app to the fellow instructors so they can integrate their data: observations by the whole instructor team is shared.

Fine assessment with 6 colored labels
Each observation can be related to one or several criteria. For each criterion, the observation may:
- provide direct information on skill assessment:
Validating observation: showing that the skill is mastered
The trainee had no occasion to demonstrate the considered skill, although the training should already have offered him such occasions. It will be necessary to come back to it.
Invalidating observation: showing that the skill is not (yet) mastered

- provide indications that will be useful for the evaluation of the considered skill(s), once combined with other observations
Positive observation
Neutral observation
Negative observation

Discover the app in video


and as illustrated usage scenarios.

A synthesis based on acquiring skills along time
- an observation showing that a skill is mastered allows to validate a competence, whatever the history (difficulties in learning). There is no grade, no average.
- white observations gather to provide a tendency: are there more positive or negative ones? They also allow to put forward the progress of the trainees, but they stay "white", i.e., they do not allow to switch the criterion to green nor red.


A support for decision, leaving the instructors the responsibility to decide to validate the trainees' skills
- in one tap on the systhesis screen, an instructor can attribute a colored label to a trainee, indicating that they the synthesis of all observations demonstrate their mastering of a skill
- this leaves the human at the heart of sensitive decisions: the instructor has the last word, not a mathematical algorithm.

A support for self- and peer-assessment
- The instructor can provide the students with a configuration file that allows them to open the app with the session data (competence and trainees list), but with limited rights.
- This configuration allows the trainees to observe their peers, to self-asses and to provide the instructors with their observations. The latter will merge with the other observations of the session.
- Trainees' observations are tagged "to validate" so that instructors can edit and filter them.
- Once observations are validated, each trainee can be provided with a feedback composed of all observations about him/her.
- To simplify the trainees's task, they can be assigned only a subset of the competences.
- The trainee configuration ensures privacy by design: Each students can only access data about him/herself
- The app allows the trainers to assess the quality of the trainees' observations about their peers.

Limitations of the tool
The chosen technical solution for exchanging data (exchange of files) provides simplicity, privacy, and security: no need for registration, server, nor subscription. It is also at the root of its limitations:
- the number of files to share increases with the number of instructors. The use of the tool would be tedious if dozens of instructors are involved
- the volume of data increases with the number of photos inserted in the observations. For a training session of several months with dozens of trainees, the tool would remain fluid as long as the number of photographs in observations is limited. Beyond, the use of disk space would increase, and the app may be less fluid.
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Android

Windows 11 (*)

coming soon

(*) Older Windows versions can run the Android versions under the BlueStacks emulator.