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(14.) Læringsanalyse har utviklet seg til å bli et vitenskapelig felt…

- - - - Increasing demand for educational institutions to measure, demonstrate, and improve performance
      - increasing availability and ease of access to learner data i.e. through online learning MOOCs learning management systems etc
  - - - Data + Analysis + Learning
        
        Analysis: understand and add meaning to data with the use of algorythoms
        
        Data: store mengder data
        
        Learning: for educational purposes
      - The measurement, collection, analysis and reporting of data about learners and their contexts,
        for purposes of understanding and optimizing learning and the environments in which it occurs” (Long & Siemens,2011)
        
        Measurement, collection, analysis and reporting
        
        Learners and their contexts
        
        Understand and optimize them
        (learning and learning contexts)
  - - - Data
        
        Environment
    - - Objectives: ex.
        
        monitoring/analysis
        
        prediction/intervention
        
        assessment/feedback
        
        adaptation
        
        personalization/reccomendation
        
        reflection
    - - Stakeholders: ex.
        
        learners
        
        teachers
        
        tutors
        
        mentors
        
        institutions
        
        researchers
        
        system designers
    - - Techniques: ex.
        
        statitistics
        
        visualization
        
        data/web mining
        
        social network analysis