The institutional adoption of learning analytics in the Netherlands is still low. This chapter presents a study on the challenges that Dutch higher educational institutions encounter when adopting learning analytics. The literature describes possible challenges regarding assets, data governance, data literacy, data quality, organizational culture, pedagogical grounding, privacy and ethics, and technical issues. Eight interviews with practitioners from four universities verified that all these challenges are causing problems for Dutch institutions as well. The practitioners provided recommendations on how to overcome these adoption challenges. Higher educational institutions need to demonstrate the value of learning analytics, provide users with training, clearly identify users' needs, and establish a ‘one-stop-shop' that acts as a single contact point within the organization. Combined with recommendations already present in the literature, this helps accelerate the successful adoption of learning analytics by Dutch higher educational institutions.
The Dutch research project “Wijs met techniek” (Tech-Wise) explores ethics education from a tool-based, practical perspective. Especially if and how practical tools for ethical deliberation on the impact of technology can be helpful in ethics education for engineering students. The approach is first intended as a variation on theories in ethics and technology. Secondly, the approach uses a focus on the impact of technology as a way toward ethical deliberation. Both characteristics are intended to better appeal to engineering students. In the project we cover three levels of higher education: a University, a University of Applied Sciences and a School for Vocational Training. Together we are developing and testing a suite of activating working methods that can be tailored to various engineering programmes. A first result of this is the simple workshop format “ethics for engineers”, consisting of five steps with four effective ingredients. In this paper we present the general format of this workshop and dive in particular into a specific instance of the workshop called “Wonderberries”. The experiences from the workshop show that with a carefully chosen combination of engaging orientation, a specific ‘technology’ and a concrete design exercise the ethical questions and subsequent deliberation and reflection can be very rich.
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With the introduction of research activities in higher professional education in the Dutch higher education system, the notions of ‘research’ that were previously silently agreed upon among academics in traditional universities also came under pressure. Additionally, bothtypes of higher education actively claim to have educational programs of a different character. The ground underneath the difference is claimed to be the presence of distinct research activities. This study considers this difference through the discourse on ‘research’ of lecturers in both higher professional education and university education. In interviews, lecturers were asked to judge an argument on their own work-related activities to be ‘research’ or ‘nonresearch’. Through a network-analysis approach, the data results in five discursive building blocks that all lecturers apply in their arguments, and three discursive themes on research. Furthermore, this research indicates that differences among lecturers on discursive themes areonly partly based on institutional differences.
The DALI project is carried out under the flag of Logistics Community Brabant. DALI is a testing ground aimed at lifting datafication in the logistics sector of the south of the Netherlands to a higher level, consequently future-proofing the sector.DALI focuses on developing knowledge-intensive logistics (smart logistics): devising, developing, demonstrating and applying new logistics working methods. The project’s aim is to create higher added value, increase the efficiency of goods flow handling, and maintain our international market position.Within DALI, 18 companies are carrying out cases in the area of datafication. The findings from the business cases are translated into generic applications for the logistics and supply chain sector and education. In addition, they are developing a community of data and logistics specialists.Partners:LCB, Gemeenten Breda en Tilburg, REWIN, Midpoint Brabant, Ministerie van Economische Zaken en Klimaat, Rijksoverheid, Provincie Noord-Brabant, Regio West-Brabant, Regio Hart van Brabant.In Dutch:Proeftuin van logistieke innovatie. DALI is een project waarin 18 bedrijven pilots uitvoeren om met datatoepassingen processen in de logistiek en supply chain te verslimmen. Vanuit deze pilots worden generieke toepassingen en tools op het gebied van data ontwikkeld voor MKB-bedrijven en het onderwijs.
Our country contains a very dense and challenging transport and mobility system. National research agendas and roadmaps of multiple sectors such as HTSM, Logistics and Agri&food, promote vehicle automation as a means to increase transport safety and efficiency. SMEs applying vehicle automation require compliance to application/sector specific standards and legislation. A key aspect is the safety of the automated vehicle within its design domain, to be proven by manufacturers and assessed by authorities. The various standards and procedures show many similarities but also lead to significant differences in application experience and available safety related solutions. For example: Industrial AGVs (Automated Guided Vehicles) have been around for many years, while autonomous road vehicles are only found in limited testing environments and pilots. Companies are confronted with an increasing need to cover multiple application environments, such restricted areas and public roads, leading to complex technical choices and parallel certification/homologation procedures. SafeCLAI addresses this challenge by developing a framework for a generic safety layer in the control of autonomous vehicles that can be re-used in different applications across sectors. This is done by extensive consolidation and application of cross-sectoral knowledge and experience – including analysis of related standards and procedures. The framework promises shorter development times and enables more efficient assessment procedures. SafeCLAI will focus on low-speed applications since they are most wanted and technically best feasible. Nevertheless, higher speed aspects will be considered to allow for future extension. SafeCLAI will practically validate (parts) of the foreseen safety layer and publish the foreseen framework as a baseline for future R&D, allowing coverage of broader design domains. SafeCLAI will disseminate the results in the Dutch arena of autonomous vehicle development and application, and also integrate the project learnings into educational modules.
