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A screenshot of the learner's dashboard on desktop A screenshot of a reminder on Domoscio Lock mobile app
Learner
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Manager
Author
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Learner
  • Support after the training on the learner’s web or mobile application
  • Notifications and reminders adapted to the learner’s cognitive profile
  • Gamified dashboard to follow the learner’s upskilling process
A screenshot of the manager's dashboard on desktop
Learner
Icon Apprenant Created with Sketch.
Manager
Author
Group 23 Created with Sketch.
Manager
  • Interface to monitor the learners both individually and collectively
  • Reporting on the long-term retention of the acquired skills
  • Dashboard to measure the return on investment of learning
A screenshot of the author's dashboard on desktop
Learner
Icon Apprenant Created with Sketch.
Manager
Author
Group 23 Created with Sketch.
Author
  • Design of themes in autonomy via Domoscio Lock authoring tool
  • Functionality to export in SCORM format and distribute on the LMS
  • Dashboard with feedback on the relevance of the learning materials

Our clients improve the impacts of learning

46 %

Additional knowledge retention 3 months after the training

76 %

Learners remaining on Domoscio 3 months after the training

The results presented above have been achieved as part of experimental protocols carried out with several clients of Domoscio.


Cognitive science to reinforce the knowledge and skills

Lock is a learning reinforcement solution which drives the long-term retention of the acquired knowledge and skills to guarantee their application in the field:

  • At the end of a learning module, the learners log in to answer a quiz on each key concept
  • The learners’ knowledge retention is assessed with the collected results to push them a notification, on web or mobile application, when they have a reminder
  • For each reminder, the learners answer a quiz with feedback and their learning reinforcement path adapts according to their cognitive profile: the reminders will be more frequent on the least retained concepts and vice-versa

As soon as a new result is generated, the algorithm measures the learners’ individual forgetting curve and push them reminders until each concept is reinforced. The machine learning models make use of this new data to estimate the difficulty to reinforce the different concepts and make future participants benefit from an even more relevant reinforcement path.

Lock adapts to the context of each company and each business unit by offering tailored support at the end of a learning module or path, no matter the format (face-to-face, virtual classroom, video, quiz, etc.). To do this, it interfaces with existing learning platforms (LMS, TMS, LEP, etc.) using the interoperability standards of the learning market: SCORM, LTI, xAPI, etc. Therefore, the user experience is seamless and transparent for the learners, which improves their engagement.

Thanks to the generated data, Lock provides the different stakeholders with analytics adapted to their needs. The manager can monitor the reinforcement of acquired skills for his or her team, both individually and collectively, to identify potential training actions to be implemented and evaluate the learning impact. The learning team has access to data on the use, difficulty and relevance of materials, to better adjust their learning design strategy. Finally, the HR manager can monitor aggregate analytics related to the use of the tool and skills management.


They trust us


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