Knowledge Flows as a Way to Understand Learning Processes

ID: 51928 Type: Poster/Demo
  1. Stella Casola, Nicoletta Di Blas, and Paolo Paolini, Politecnico di Milano, Department of Electronics, Information and Bioengineering (DEIB), Italy

Wednesday, March 28 5:45 PM-7:00 PM Location: Edison Ballroom D View on map

Presider: Rashid Khan, DCC- King Fahd University of Petroleum and Minerals, Dhahran Saudi Arabia, Saudi Arabia

Abstract: This paper proposes an innovative method for analyzing learning processes, involving groups of students Moving from TPACK and its evolution, the method (named DDK-flows, Distributed & Dynamic Knowledge-flows) proposes the analysis of flows of knowledge that occur during an educational experience from one actor to another actor, as the cornerstone As shown in this paper, the method allows two types of analysis: understanding how the learning process worked overall (ie, “on average”), and how individual learning processes diverged from the “average” learning process The paper supports the claims with data taken from a real-life experience


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