The DITA Learning and Training specialization applies DITA principles and best practices
  for using topic-based and modular content to plan, develop, and deliver learning and training
  content.
  
   The reusable learning objects, or RLO, approach to learning content derives from the
    pioneering work of learning content designers at several companies, including Autodesk®,
    Oracle®, and Cisco®. Author Peder Jacobsen defines an RLO as "a discrete reusable collection of
    content used to present and support a single learning objective." With this approach, it is
    possible to gather a pool of information objects and make them available for reuse and
    repurposing in a variety of learning delivery contexts.
   There is a strong affinity between the DITA topic-based, modular approach to content in
    general, and the learning objects approach to learning content in particular.
   Working assumptions about learning content and how to support authoring and delivering it with
    DITA include the following: 
     - The DITA Learning and Training specialization builds on a reusable learning objects (RLO)
      approach to learning content. 
 
     - DITA topic types are the basic building blocks for learning objects and specify the
      meaning and intention of content provided in instructional and information objects.
 
     - DITA domains provide the mechanism for defining interactions, which can be
      used across the learning topic types.
 
     - DITA domains also provide the mechanism for defining learning metadata, which
      can be assigned either in topics or in maps.
 
     - DITA maps arrange the DITA learning topics into a hierarchy of learning objects and
      group such content for delivery as lessons, modules, and courses.
 
     - DITA specialization provides the mechanism for creating the learning-based topic
      types, domains, and maps needed for instructional and information object content
      requirements.
 
    
 
   Figure 1. Learning objects and specialized DITA learning and training topic types 
    
    This figure shows the composition of learning objects as a) instructional objects, b)
     information objects, and c) the specialized DITA topic types to support them.
    
    In this approach, a learning object comprises a "discrete reusable collection of content used
     to present and support a single learning objective," and consists of two primary information
     components: 
      - instructional objects, which provide the structured framework for a learning
       experience. The learningOverview, learningSummary, and learningAssassessment topic types
       provide content for instructional objects.
 
      - information objects, which provide the source learning content - the topic-based
       learning content and other supplemental content that supports the learning goals identified
       in the instructional objects. The learningContent topic type provides content for information
       objects.
 
      - instructional plans, which identify the learning goals, needs, and objectives. The
       learningPlan topic type provides content for instructional plans.
 
     
 
    
   Figure 2. Learning content design, authoring, and delivery through DITA specialization
    
    This picture shows the end-to-end process for designing, authoring, and delivering
     specialized learning content with DITA. 

    In this approach, a learning content developer:
      - Uses learning map elements to identify the learning objects and the supporting
       content needed to address specific learning goals and objectives.
 
      - Uses learning topic elements to structure the learning content.
 
      - Applies learning metadata elements to describe specific characteristics of the
       learning content, following a sub-set of the IEEE LOM standard.
 
      
      - Constructs specific build maps and relationship tables to organize learning objects
       for delivery as a course with specific output and delivery needs.
 
      - Invokes processing to generate specific learning deliverables, based on the default
       processing available with DITA content and specialized as needed for learning-specific
       purposes and delivery formats.