Towards a more effective model for distance education

What is the most effective model for academic distance education, given that drop-out numbers in traditional distance education institutions are too high and the demands from the various stakeholders are changing? In this paper this question is answered from the perspective of the Open University of the Netherlands (OUNL). The OUNL has planned to redesign its educational model from the traditional guided self-study model towards a model of active online learning. In essence this means that education will be less content driven; more focus is put on activating students to engage with real world problems supported by tutors and peers using distance media. The drivers for change, the change process and the resulting redesign of the educational model are presented in this paper.

The sociolinguistic situation of ǂHoan, a moribund 'Khoisan' language of Botswana

In 2010, we conducted a sociolinguistic survey on the moribund 'Khoisan' language ǂHoan (Ju-ǂHoan), spoken in Botswana at the fringe of the Kalahari Desert. The survey aimed at investigating language use, degrees of multilingualism and language attitude among the ǂHoan speakers. Data collection was done on the basis of a questionnaire. We found that the positive language attitude of individuals towards ǂHoan often conflicts with the community's attitude towards this language, resulting in a split of actual language use between the family and more formal situations. All ǂHoan speakers are at least bilingual speaking the local lingua franca Kgalagadi (Bantu) besides ǂHoan. Most of them are in fact even trilingual, speaking Gǀui (Khoe-Kwadi) in addition to ǂHoan and Kgalagadi. Most of our results stand in line with an earlier sociolinguistic survey on ǂHoan by Batibo (2005a) which was carried out in 2003. In comparing Batibo's results to ours, changes in the sociolinguistic situation of ǂHoan as well as differences between the different villages will be pointed out.

Development of a novel material flow simulation model for the integration of spatial and process relevant information

Simulation techniques are almost indispensable in the analysis of complex systems. Materials- and related information flow processes in logistics often possess such complexity. Further problem arise as the processes change over time and pose a Big Data problem as well. To cope with these issues adaptive simulations are more and more frequently used. This paper presents a few relevant advanced simulation models and intro-duces a novel model structure, which unifies modelling of geometrical relations and time processes. This way the process structure and their geometric relations can be handled in a well understandable and transparent way. Capabilities and applicability of the model is also presented via a demonstrational example.

Meta-model for calculating the mean energy demand of automated storage and retrieval systems

Energy efficiency has become an important research topic in intralogistics. Especially in this field the focus is placed on automated storage and retrieval systems (AS/RS) utilizing stacker cranes as these systems are widespread and consume a significant portion of the total energy demand of intralogistical systems. Numerical simulation models were developed to calculate the energy demand rather precisely for discrete single and dual command cycles. Unfortunately these simulation models are not suitable to perform fast calculations to determine a mean energy demand value of a complete storage aisle. For this purpose analytical approaches would be more convenient but until now analytical approaches only deliver results for certain configurations. In particular, for commonly used stacker cranes equipped with an intermediate circuit connection within their drive configuration there is no analytical approach available to calculate the mean energy demand. This article should address this research gap and present a calculation approach which enables planners to quickly calculate the energy demand of these systems.