CAPELLA: A conceptual framework for adaptive life-long learning

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

doi:10.1109/EDUCON.2017.7943041

CAPELLA: A conceptual framework for adaptive life-long learning

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

Department of Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of 2017 IEEE Global Engineering Education Conference, EDUCON 2017
Publisher	IEEE Computer Society
Pages	1463-1472
Number of pages	10
ISBN (Electronic)	9781509054671
DOIs	https://doi.org/10.1109/EDUCON.2017.7943041
State	Published - 7 Jun 2017
Event	8th IEEE Global Engineering Education Conference, EDUCON 2017 - Athens, Greece Duration: 25 Apr 2017 → 28 Apr 2017

Publication series

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

Conference

Conference	8th IEEE Global Engineering Education Conference, EDUCON 2017
Country/Territory	Greece
City	Athens
Period	25/04/17 → 28/04/17

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

UN SDGs

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

Access to Document

10.1109/EDUCON.2017.7943041

Cite this

Tomer, A., Hagel, G., Mottok, J., Alt, D., Barak, M. I., & Hadar, I. (2017). CAPELLA: A conceptual framework for adaptive life-long learning. In Proceedings of 2017 IEEE Global Engineering Education Conference, EDUCON 2017 (pp. 1463-1472). Article 7943041 (IEEE Global Engineering Education Conference, EDUCON). IEEE Computer Society. https://doi.org/10.1109/EDUCON.2017.7943041

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title = "CAPELLA: A conceptual framework for adaptive life-long learning",

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.",

keywords = "Adaptive learning, Body of knowledge, Life long learning",

author = "Amir Tomer and Georg Hagel and Juergen Mottok and Dorit Alt and Barak, \{Miriam I.\} and Irit Hadar",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 8th IEEE Global Engineering Education Conference, EDUCON 2017 ; Conference date: 25-04-2017 Through 28-04-2017",

year = "2017",

month = jun,

day = "7",

doi = "10.1109/EDUCON.2017.7943041",

language = "English",

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Tomer, A, Hagel, G, Mottok, J, Alt, D, Barak, MI & Hadar, I 2017, CAPELLA: A conceptual framework for adaptive life-long learning. in Proceedings of 2017 IEEE Global Engineering Education Conference, EDUCON 2017., 7943041, IEEE Global Engineering Education Conference, EDUCON, IEEE Computer Society, pp. 1463-1472, 8th IEEE Global Engineering Education Conference, EDUCON 2017, Athens, Greece, 25/04/17. https://doi.org/10.1109/EDUCON.2017.7943041

CAPELLA: A conceptual framework for adaptive life-long learning. / Tomer, Amir; Hagel, Georg; Mottok, Juergen et al.
Proceedings of 2017 IEEE Global Engineering Education Conference, EDUCON 2017. IEEE Computer Society, 2017. p. 1463-1472 7943041 (IEEE Global Engineering Education Conference, EDUCON).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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M3 - Conference contribution

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CAPELLA: A conceptual framework for adaptive life-long learning

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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