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Title:
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ECOPOLYTECHNIC: A SUSTAINABLE AND FLEXIBLE
E-LEARNING SYSTEM FOR AGILE SMART LEARNING
SCENARIOS |
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Author(s):
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Michele Angelaccio |
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ISBN:
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978-989-8704-17-7 |
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Editors:
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Miguel Baptista Nunes and Pedro Isaias |
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Year:
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2020 |
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Edition:
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Single |
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Keywords:
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Data Science, Smart Learning, Agile Learning |
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Type:
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Reflection |
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First Page:
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185 |
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Last Page:
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188 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The rapid change of technological and human-machine co-evolutionary processes due to smart working and smart
industries, present several issues that are also influencing the world of e-learning systems. Nowadays is quite hard to
distinguish between learning spaces/systems/organizations and working organizations especially when smart working and
tele-monitoring are becoming widespread. In this work we analyze smart learning concepts that are leading to a new
emerging scenario in which the distinction between learning and working activities is dynamic and in evolution. In
particular we present an integrated smart learning model called EcoPolytechnic which aims to redesigns the organization
model of a Polytechnic by introducing several concepts of agile learning and project-based learning. The model is built
upon the notion of smart learning cell that replaces in a flexible and sustainable way the notion of set of courses and can
be used in a better way in smart learning scenarios. The result is a complete and easy to be configured smart learning
organization system for which a comparative analysis is carried out. The benefits in terms of innovation and adaptive
learning performance are given by using agile learning analysis. |
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