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 (i.e., “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.

Knowledge Flows as a Way to Understand Learning Processes

Stella Casola;Nicoletta Di Blas;Paolo Paolini
2018-01-01

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 (i.e., “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.
2018
Proceedings of Society for Information Technology & Teacher Education International Conference
978-1-939797-32-2
Distributed and Dynamic TPACK, Distributed Cognition, Authentic Learning
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1124093
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