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Educational innovation

Authors: María Luisa Sein-Echaluce; Ángel Fidalgo Blanco; Neuza Pedro;

Educational innovation

Abstract

An effective way to understand, improve and apply educational innovation is through the analysis of good practices. Sharing the acquired knowledge in the development and application of good practices helps teachers to implement educational innovation. Good practices help to reduce the teachers’ effort and to contribute structural to the educational institutions. This paper presents the good practices of the track “Educational Innovation” at the conference TEEM’15. They are organized in 5 lines corresponding to tendencies on educational innovation: Learning Communities, Learning personalization/Adaptive learning, Training and assessment of teamwork, New learning models and Innovation in online learning methods.

Conferência realizada no Porto, Portugal, de 7 a 9 de Outubro de 2015

Country
Portugal
Keywords

Learning communities, Adaptive learning, Educational innovation, Teamwork competence, Learning contents management systems

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
Green