CAPELLA: A conceptual framework for adaptive life-long learning

Amir Tomer, Georg Hagel, Juergen Mottok, Dorit Alt, Miriam I. Barak, Irit Hadar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we describe a proposed framework for Cooperative Adaptive Personalized Education for Life-long Learning and Activation (CAPELLA). CAPELLA comprises four models: A Knowledge Organization Model, a Learning Process Model, a Community Collaboration Model and a Gaming Model. The underlying pedagogical approach is based on the four pillars of learning: Learning to know, learning to do, learning to collaborate and learning to be. Based on these models and principles, CAPELLA provides a theoretical framework that may assist IT developers to develop state-of-the-art educational platforms and advanced learning applications. Using an example of a UML Diagramming Workshop we demonstrate how CAPELLA incorporates the principles of Adaptive Learning.

Original languageEnglish
Title of host publicationProceedings of 2017 IEEE Global Engineering Education Conference, EDUCON 2017
PublisherIEEE Computer Society
Pages1463-1472
Number of pages10
ISBN (Electronic)9781509054671
DOIs
StatePublished - 7 Jun 2017
Event8th IEEE Global Engineering Education Conference, EDUCON 2017 - Athens, Greece
Duration: 25 Apr 201728 Apr 2017

Publication series

NameIEEE Global Engineering Education Conference, EDUCON
ISSN (Print)2165-9559
ISSN (Electronic)2165-9567

Conference

Conference8th IEEE Global Engineering Education Conference, EDUCON 2017
Country/TerritoryGreece
CityAthens
Period25/04/1728/04/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Adaptive learning
  • Body of knowledge
  • Life long learning

ASJC Scopus subject areas

  • General Engineering
  • Information Systems and Management
  • Education

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