Sustainable learning requires time and reflection. That's why with chunkx we make it easy to subscribe to the content of existing trainings and courses to support learning transfer in small units and on-the-job. A great new feature for this is the personalized summaries that are now sent out as part of our weekly learning review. They show learners the key messages of their individually worked learning units from the respective week and make it easy to reflect and anchor learned material again.
Limitations of LMS and LXP
Traditional learning management systems (LMS) or learning experience platforms (LXP) do not directly access the content that learners are working on. Courses are linked via SCORM or other standards — but exactly what content is in them is not known to the system. It usually only knows the metadata, such as the title and a short description. What was explained in terms of content and whether any knowledge gaps were identified is unknown to the system.
Learning Content Analysis in chunkx
With chunkx, things are different: microlearning units can be created, managed and played out directly. Innovative AI functions also make it possible to transform the learning content of existing trainings and courses into microlearning units and continuously deliver them to learners. chunkx thus has direct access to the content and can evaluate which content has been worked on by a learner in a week.
For each learning unit, the key message is identified and presented in the user's language. If more than five core messages are generated in a week, data on the current state of knowledge in chunkx can be used to make the selection even more appropriate.
Seamless Learning
Reflecting on what you have already learned is one thing, learning something new is another. Every communication event in chunkx — such as the weekly learning review or new recommendations — is also used to calculate which microlearning unit should be selected next for the user.
The microlearning units themselves are presented as completely as possible in terms of content. So users are not only made aware — learning can happen immediately. The channels used are email or MS Teams, also for the personalized summaries.
More AI Features in chunkx
In chunkx, artificial intelligence and smart algorithms are used in a variety of ways: in content creation, to relieve authors and to efficiently transform existing learning content into microlearning units; in keywording, to analyze and relate content; in skill analysis and referencing skill ontologies such as ESCO; for recommendations for further learning; and in personalizing learning content such as the custom summaries shown here.
Talk to us about your learning culture and the changes in your organization, and how chunkx can best support you with personalized learning experiences.
