Pulling It Together: A Process Model for DDM and Learning

  • Hassan Qudrat-Ullah
Part of the Understanding Complex Systems book series (UCS)


We are interested to know the pathways through which facilitated ILEs support learners’ decision -making and learning in dynamic tasks. In the last chapter, there have been some speculations about the paths through which the facilitator support (FS) treatments affect transfer learning (TL) and other moderating predictors of transfer learning. Here in this chapter, we want to analyze the impacts of the remaining predictors of the process model which are (1) LM treatments, (2) prior knowledge, and (3) FS treatments.


Prior knowledge Learning mode Individual learning Team learning Decision strategy Hierarchical regression Variance for transfer learning Task knowledge Structural knowledge Heuristics knowledge Transfer learning Pathways to transfer learning Interactions with peers Validated process model Cognitive effort Decision time 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of Administrative StudiesYork UniversityTorontoCanada

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