Academic Journal

Integration of Educational Clusters with Open Badges and Blended Intensive Program (ECOBI): a comprehensive approach to future university education.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Integration of Educational Clusters with Open Badges and Blended Intensive Program (ECOBI): a comprehensive approach to future university education.
Συγγραφείς: Minerva, Tommaso, De Santis, Annamaria, Sannicandro, Katia, Bellini, Claudia
Πηγή: Journal of E-Learning & Knowledge Society; Dec2024, Vol. 20 Issue 3, p112-125, 14p
Θεματικοί όροι: College curriculum, Educational planning, Digital technology, Online education, Open clusters of stars, Blended learning
Περίληψη: This paper introduces an integrated educational model for higher education, ECOBI, which combines Educational Clusters (teaching programs), the Blended Intensive approach, and the issuance of Open Badges within university curricula. Adopted by EDUNEXT, a network of 35 Italian universities aimed at digital educational innovation and university network development, ECOBI proposes a competency-based design that makes degree courses and Educational Clusters planned to develop specific skills relevant to the 21st-century landscape. The Intensive Blended approach integrates online teaching activities with intensive in-person training weeks, combining the strengths of both experiences. This model offers modularity and flexibility, promotes interdisciplinary learning and interchangeability of content, and meets the needs of current higher education. The article describes the ECOBI approach, its characteristics, strengths and advantages, and highlights its implementation within the EDUNEXT network. [ABSTRACT FROM AUTHOR]
Copyright of Journal of E-Learning & Knowledge Society is the property of Italian e-Learning Society / Societa Italiana di e-Learning (SIe-L) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Journal of E-Learning & Knowledge Society; Dec2024, Vol. 20 Issue 3, p112-125, 14p
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  Data: This paper introduces an integrated educational model for higher education, ECOBI, which combines Educational Clusters (teaching programs), the Blended Intensive approach, and the issuance of Open Badges within university curricula. Adopted by EDUNEXT, a network of 35 Italian universities aimed at digital educational innovation and university network development, ECOBI proposes a competency-based design that makes degree courses and Educational Clusters planned to develop specific skills relevant to the 21st-century landscape. The Intensive Blended approach integrates online teaching activities with intensive in-person training weeks, combining the strengths of both experiences. This model offers modularity and flexibility, promotes interdisciplinary learning and interchangeability of content, and meets the needs of current higher education. The article describes the ECOBI approach, its characteristics, strengths and advantages, and highlights its implementation within the EDUNEXT network. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of E-Learning & Knowledge Society is the property of Italian e-Learning Society / Societa Italiana di e-Learning (SIe-L) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Dec2024
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