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       <dc:date>2026-04-29T16:04:24+02:00</dc:date>
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        <dc:date>2019-06-03T16:15:29+02:00</dc:date>
        <title>api2:adaptive:objective_knowledge_node_students</title>
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        <description>An Objective Knowledge Node Student is a link between an Objective Student and the Knowledge Nodes that have to be mastered for this Objective. It is created automatically when the Objective Student is created.

Object resources
 Property      Type</description>
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        <dc:date>2018-07-23T10:21:11+02:00</dc:date>
        <title>api2:adaptive:objective_students</title>
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        <description>An Objective Student is created to assign an Objective to a Student.

Object resources
 Property      Type       Description          id  Integer  identifier for the database of Domoscio's API  reached  Boolean  Did the student went through the objective successfully?</description>
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        <dc:date>2018-07-23T10:06:56+02:00</dc:date>
        <title>api2:adaptive:objectives</title>
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        <description>An Objective is a set of Knowledge Node which all have a threshold of comprehension. An Objective can be reached when, for each its Knowledge Nodes, the student’s mastery is above the threshold.

As the name suggests, the objective only includes the concepts you want the learner to know: we take in charge to analyze the gap between his/her current knolwedge and the knowledge required to understand the concepts included in the objective. To do this, we use the knolwedge structure among other thin…</description>
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        <dc:date>2018-07-23T10:34:50+02:00</dc:date>
        <title>api2:adaptive:recommendations</title>
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        <description>If the “adaptive learning” feature is activated on your instance, the system will compute Recommendations according to the Student’s Knowledge and the Objectives. For each Event sent, the system will update the Student’s Knowledge and therefore compute new Recommendations. It is possible to display all the Recommendations and let the end-user make his/her own choice, or to skip directly from the content of the Event to the Content of the best new Recommendation.</description>
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        <dc:date>2017-11-28T10:02:19+02:00</dc:date>
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        <description>As you might have seen in the Knowledge Node Student paragraph, you can fetch the dates of the next reviews by fetching the knowledge node students.

However, it can be cumbersome, and we offer here other solutions.

Fetch Reviews (GET)

This route will give you the set of Knowledge Node Student which represent the Knowledge Nodes, i.e. the concepts, that are being worked on for review.</description>
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        <dc:date>2017-11-28T10:03:24+02:00</dc:date>
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        <description>Learning

Objectives

Objective Students

Recommendations

Reviews</description>
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