@inproceedings{TomerHagelMottoketal., author = {Tomer, Amir and Hagel, Georg and Mottok, J{\"u}rgen and Alt, Dorit and Barak, Miriam I. and Hadar, Irit}, title = {CAPELLA: A conceptual framework for adaptive life-long learning}, series = {IEEE Global Engineering Education Conference (EDUCON), 25-28 April 2017, Athens, Greece}, booktitle = {IEEE Global Engineering Education Conference (EDUCON), 25-28 April 2017, Athens, Greece}, doi = {10.1109/EDUCON.2017.7943041}, pages = {1463 -- 1472}, 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.}, language = {en} }