This page includes development requests and activities using xAPI or Experience API, formerly known as Tin Can API (see also http://www.adlnet.gov).

The starting point for supporting xAPI and cmi5 in ILIAS is the xAPI Standard Object with the options for configuring the Learning Record Store (LRS) in administration and various options for the object itself.
The creation of new objects should be facilitated by the selection of subobjects for specific application scenarios. It is planned to successively implement the following subobjects:

• xAPI Learning Module Object
  
• xAPI simple Video Object
• xAPI Collaboration Object
• xAPI Game Object
  
• xAPI Mobile App Object
• xAPI Simulations Object

The following features are already provided for the xAPI Learning Module Object, which are also available in the xAPI Standard Object:

• xAPI: Support of multiple Assignable Units
• xAPI: Profile SCORM
• Support Versions for Reporting on xAPI Learning Module Object
• Support Highscore for xAPI Game Object and xAPI learning Module Object
• if necessary: xAPI: Sub-profiles for various authoring systems / apps with administration extension for xAPI

In a further step, smaller, xAPI-supporting elements can also be integrated via the page editor xAPI Page Editor Component without support for Learning Progress and managed conveniently xAPI Media Pool.

There is also a need for special combinations of integration and data storage Combining Starting Mechanism of LTI with connection to xAPI-LRS.

The seamless integration into ILIAS as LMS includes the support for organizational units and certificates. The capture of learning progress has a central importance here. Since there will be no LRS in ILIAS itself, there are two possibilities: Data can be queried from the LRS (xAPI: Detecting Learning Progress by checking LRS) or on the way to the Learning Record Store (LRS) via the xAPI: LRS proxy. For both cases, options for determining learning progress are successively implemented:

• xAPI: Basic Learning Progress Tracker
• xAPI: Avoid the deterioration of the achieved learning progress
• xAPI: Configurator for determining Learning Progress
• xAPI: Enhanced Learning Progress Tracker

Object-related functionalities for Learning Analytics are to be successively implemented:

• xAPI: Statement Viewer with checking external LRS
• Display Activity Streams for xAPI Collaboration Object
• xAPI: Learning Analytics with an external Learning Analytics Server
• xAPI: Learning Analytics with ILIAS-Integrated Tools

In a later expansion, Cross-Objective Learning Analytics could be available for portfolio and, if necessary, superiors.

However, learning analytics should always be seen in the context of privacy and data minimization. Even at the beginning of the development, functionalities for pseudonymisation and anonymisation are ready. The xAPI: LRS proxy also offers options for deleting data without affecting ILIAS learning progress.
The xAPI: LRS proxy should be further developed to filter the usually high amount of xAPI statements to meet the requirements of data minimization. The following functionalities will be implemented successively:

• xAPI: Statement Reducer
• xAPI: Statement Controller for focussed Statements
• Extended Data Protection by Suppressing xAPI-Statements
• Pseudonymization of statements with xAPI LRS Proxy
  

If the amount of data is significantly reduced, the implementation of an LRS in ILIAS in general (xAPI: limited Learning Record Store (LRS) is also possible. Developments are also planned on the basis of specific profiles (for example, xAPI: Profile SCORM).
In cases where a larger amount of data appears to be required, xAPI: User Agreement for Data Privacy Issues should take effect. The support of Personal Data Locker (PDL - xAPI: Support for Personal Data Lockers) is also an option in the medium term to make data controllable.

Finally, we also thought of the administrators who should get an overview of xAPI / cmi5 in ILIAS as stress-free as possible (including (anonymized) Usage Reporting of xAPI Objects in Administration).

 

There is no roadmap.md published yet.