Skip to main navigation Skip to search Skip to main content

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 contribution

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
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

Conference

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • Adaptive learning
  • Body of knowledge
  • Life long learning

All Science Journal Classification (ASJC) codes

  • General Engineering
  • Information Systems and Management
  • Education

Fingerprint

Dive into the research topics of 'CAPELLA: A conceptual framework for adaptive life-long learning'. Together they form a unique fingerprint.

Cite this