e-Learning Ecologies MOOC’s Updates

Recursive Feedback - Evaluative Dimensions of Learning

Recursive Feedback—or a new generation of assessment systems, including continuous machine-mediated human assessment from multiple perspectives (peers, self, teacher, parents, invited experts etc.), and machine feedback (selected and supply response assessments, natural language processing). Student work can also be assessed through data mining techniques, analyzable either as individual progress, or comparisons across cohorts. Student are also offered just in time feedback, or assessment that is for learning (formative assessment) and not just of learning (summative assessment).

Videos:

Media embedded January 19, 2016
Media embedded January 19, 2016
Media embedded January 19, 2016
Media embedded January 19, 2016

 

Media embedded January 19, 2016

Comment: Make a comment below this update about the ways in which recursive feedback technologies can change the nature of learning. Respond to others' comments with @name.

Post an Update: Make an update introducing a recursive feedback concept on the community page. Define the concept and provide at least one example of the concept in practice. Be sure to add links or other references, and images or other media to illustrate your point. If possible, select a concept that nobody has addressed yet so we get a well-balanced view of recursive feedback. Also, comment on at least three or four updates by other participants. Recursive feedback concepts might include:

  • Formative assessment
  • Continuous assessment
  • Criterion-referenced (versus norm-referenced) assessment.
  • Intelligent tutors
  • Educational data mining
  • Learning analytics
  • Dashboards and mashups
  • Quizzes
  • Computer adaptive testing
  • Diagnostic testing
  • Peer review
  • Automated writing evaluations
  • Suggest a concept in need of definition!
  • Кульди Тосмаганбетова
  • Margarida Maneta
  • Mirko Serri
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