This chapter describes the application of an analytical method to observe and monitor the cognitive behaviour of a learning community, able to track the value generated through learning experiences. This value is investigated under the perspective of the Intellectual Capital Management, along the Human, Structural and Social dimensions. It relies on the social network analysis to map the evolution of the learning network. The setting of the experimentation is a higher education community, framed within an International Master’s program (IMeBM) involving 23 learners from different Mediterranean Countries, interconnected in a community of students, tutors, mentors and external stakeholders. To apply this method we propose an operational model, comprised of a set of indicators to monitor the growth in terms of Intellectual Capital dimensions. Some preliminary results of this application confirm the assumption that knowledge is a social product, and recognize the importance of the social aspects of learning, valuing the role of collective and personal relationships as the levers for learning networks success.

A learning dashboard to monitor an Open Networked Learning Community

GRIPPA, FRANCESCA;SECUNDO, Giustina;DE MAGGIO, MARCO
2010-01-01

Abstract

This chapter describes the application of an analytical method to observe and monitor the cognitive behaviour of a learning community, able to track the value generated through learning experiences. This value is investigated under the perspective of the Intellectual Capital Management, along the Human, Structural and Social dimensions. It relies on the social network analysis to map the evolution of the learning network. The setting of the experimentation is a higher education community, framed within an International Master’s program (IMeBM) involving 23 learners from different Mediterranean Countries, interconnected in a community of students, tutors, mentors and external stakeholders. To apply this method we propose an operational model, comprised of a set of indicators to monitor the growth in terms of Intellectual Capital dimensions. Some preliminary results of this application confirm the assumption that knowledge is a social product, and recognize the importance of the social aspects of learning, valuing the role of collective and personal relationships as the levers for learning networks success.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/337662
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