Content Quick-Filter (learning progress controlled)

1 Initial Problem

One of the big topics for elearning is personalized learning. To stay abreast of this change, ILIAS authors should be able to make particular sections of a learning module visible/not visible to the learning in depending of his learning progress.

2 Conceptual Summary

The author may select the course and the needed learning progress to filter particular elements of a site.
To handle with this behavior, the learner will be notified that the content has been filtered due to his learning progress.
This setting allows the author to minimize the effort for creation of customized content.

3 User Interface Modifications

3.1 List of Affected Views

• properties of a section
• page editor / content

3.2 User Interface Details

{For each of these views please list all user interface elements that should be modified, added or removed. Please provide the textual appearance of the UI elements and their interactive behaviour.}

3.3 New User Interface Concepts

{If the proposal introduces any completely new user interface elements, you might consult UI Kitchen Sink in order to find the necessary information to propose new UI-Concepts. Note that any maintainer might gladly assist you with this.}

4 Technical Information

{The maintainer has to provide necessary technical information, e.g. dependencies on other ILIAS components, necessary modifications in general services/architecture, potential security or performance issues.}

5 Contact

• Author of the Request: {Please add your name.}
• Maintainer: {Please add your name before applying for an initial workshop or a Jour Fixe meeting.}
• Implementation of the feature is done by: {The maintainer must add the name of the implementing developer.}

6 Funding

If you are interest in funding this feature, please add your name and institution to this list.

• …

7 Discussion

8 Implementation

{The maintainer has to give a description of the final implementation and add screenshots if possible.}

Test Cases

Test cases completed at {date} by {user}

• {Test case number linked to Testrail} : {test case title}

Approval

Approved at {date} by {user}.