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: 2013
Pages: 24
Source title: Enterprise Resource Planning: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-4153-2.ch032

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

Majdi Abdellatief Mohammed, Amir Mohamed Talib, Ibrahim Ahmed Al-Baltah. © 2020. 27 pages.
Stephen Makau Mutua, Raphael Angulu. © 2020. 25 pages.
Elyjoy Muthoni Micheni, Geoffrey Muchiri Muketha, Evance Ogolla Onyango. © 2020. 31 pages.
Ramgopal Kashyap. © 2020. 35 pages.
Julius Nyerere Odhiambo, Elyjoy Muthoni Micheni, Benard Muma. © 2020. 21 pages.
Stella Nafula Khaemba. © 2020. 16 pages.
Amos Chege Kirongo, Guyo Sarr Huka. © 2020. 14 pages.
Body Bottom