IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Adaptive Learning Cycle to Improve the Competence-Building for Enterprise Systems in Higher Education

Adaptive Learning Cycle to Improve the Competence-Building for Enterprise Systems in Higher Education
View Sample PDF
Author(s): Dirk Peters (Carl von Ossietzky Universität Oldenburg, Germany), Liane Haak (Carl von Ossietzky Universität Oldenburg, Germany)and Jorge Marx Gómez (Carl von Ossietzky Universität Oldenburg, Germany)
Copyright: 2012
Pages: 24
Source title: Organizational Integration of Enterprise Systems and Resources: Advancements and Applications
Source Author(s)/Editor(s): João Eduardo Quintela Alves de Sousa Varajão (University of Trás-os-Montes e Alto Douro, Portugal), Maria Manuela Cruz-Cunha (Polytechnic Institute of Cávado and Ave, Portugal)and Antonio Trigo (Polytechnic Institute of Coimbra, Portugal)
DOI: 10.4018/978-1-4666-1764-3.ch005

Purchase

View Adaptive Learning Cycle to Improve the Competence-Building for Enterprise Systems in Higher Education on the publisher's website for pricing and purchasing information.

Abstract

Higher education institutes like universities cannot ignore the need to teach well known information systems, like ERP systems. Case studies are the most chosen way to introduce the handling of these systems to fulfill the needs of the international employment market and to provide a practical focus within the education. Effective teaching concepts have to improve this situation by considering the pedagogical aspects, which support the individual learning process of each student. This chapter discusses the changes and challenges of enterprise systems in higher education and provides an overview about the learning theory and the actual learning supporting technology as a basis for our concept. The approach considers actual needs of higher education, e.g. present learning in a lab as well as e-Learning courses supported by new methods in technology-enhanced learning by recording students’ behavior to guide them through the system. Therefore the authors introduce an Adaptive Learning Cycle which considers tracking and analyzing results deduced with mining methods to improve the learning progress. The aim is to achieve positive influences on the progress of the learning process to build up professional competence.

Related Content

Margee Hume, Paul Johnston. © 2017. 19 pages.
Jessy Nair, D. Bhanu Sree Reddy. © 2017. 27 pages.
Joseph R. Muscatello, Diane H. Parente, Matthew Swinarski. © 2017. 19 pages.
Klaus Wölfel. © 2017. 33 pages.
Rui Pedro Marques. © 2017. 21 pages.
Ebru E. Saygili, Arikan Tarik Saygili. © 2017. 17 pages.
Aparna Raman, D. P. Goyal. © 2017. 41 pages.
Body Bottom