Currently, various higher education (HE) institutes develop flexible curricula for various reasons, including promoting accessibility of HE, the societal need for more self-regulated professionals who engage in life-long learning, and the desire to increase motivation of students. Increasing flexibility in curricula allows students to choose for example what they learn, when they learn, how they learn, where they learn, and/or with whom. However, HE institutes raise the question of what preferences and needs different stakeholders have with regard to flexibility, so that suitable choices can be made in the design of policies, curricula, and student support programs. In this workshop, we focus on student preferences and share recent insights from research on HE students' preferences regarding flexible education. Moreover, we use participants’ expertise to identify new (research) questions to further explore what students’ needs imply for several domains, namely curriculum-design, student support that is provided by educators/staff, policy, management, and the professional field. Firstly, a conceptual framework on flexible education and student’s preferences will be presented. Secondly, participants reflect in groups on student personas. Then, discussion groups have a Delphi-based discussion to collect new ideas for research. Finally, participants share the outcomes on a ‘willing wall’ and a ‘wailing wall’.
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In flexible education, recommender systems that support course selection, are considered a viable means to help students in making informed course selections, especially where curricula offer greater flexibility. However, these recommender systems present both potential benefits and looming risks, such as overdependence on technology, biased recommendations, and privacy issues. User control mechanisms in recommender interfaces (or algorithmic affordances) might offer options to address those risks, but they have not been systematically studied yet. This paper presents the outcomes of a design session conducted during the INTERACT23 workshop on Algorithmic Affordances in Recommender Interfaces. This design session yielded insights in how the design of an interface, and specifically the algorithmic affordances in these interfaces, may address the ethical risks and dilemmas of using a recommender in such an impactful context by potentially vulnerable users. Through design and reflection, we discovered a host of design ideas for the interface of a flexible education interface, that can serve as conversation starters for practitioners implementing flexible education. More research is needed to explore these design directions and to gain insights on how they can help to approximate more ethically operating recommender systems.
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With increasing penetration rates of driver assistance systems in road vehicles, powerful sensing and processing solutions enable further automation of on-road as well as off-road vehicles. In this maturing environment, SMEs are stepping in and education needs to align with this trend. By the input of student teams, HAN developed a first prototype robot platform to test automated vehicle technology in dynamic road scenarios that include VRUs (Vulnerable Road Users). These robot platforms can make complex manoeuvres while carrying dummies of typical VRUs, such as pedestrians and bicyclists. This is used to test the ability of automated vehicles to detect VRUs in realistic traffic scenarios and exhibit safe behaviour in environments that include VRUs, on public roads as well as in restricted areas. Commercially available VRU-robot platforms are conforming to standards, making them inflexible with respect to VRU-dummy design, and pricewise they are far out of reach for SMEs, education and research. CORDS-VTS aims to create a first, open version of an integrated solution to physically emulate traffic scenarios including VRUs. While analysing desired applications and scenarios, the consortium partners will define prioritized requirements (e.g. robot platform performance, dummy types and behaviour, desired software functionality, etc.). Multiple robots and dummies will be created and practically integrated and demonstrated in a multi-VRU scenario. The aim is to create a flexible, upgradeable solution, published fully in open source: The hardware (robot platform and dummies) will be published as well-documented DIY (do-it-yourself) projects and the accompanying software will be published as open-source projects. With the CORDS-VTS solution, SME companies, researchers and educators can test vehicle automation technology at a reachable price point and with the necessary flexibility, enabling higher innovation rates.
What new strategies, knowledge, skills and business models will businesses need; and what new policies and initiatives need to be developed to make the region ready for a successful future. Hanze will focus on innovation in energy transition and specially in small and medium businesses and their needs for the future.[Project in development]The project aims to maintain a competitive regional economy and to strengthen innovation support capacity by ensuring access to a strong and adaptable workforce with the necessary skills to support future growth. This will be done by increasing regional knowledge on future skills needs amongst SMEs and bridging existing skills gaps. Innovation support mechanisms and educational practices will be tested allowing for adjustments and the development of a robust future-proofed flexible system. The project will give authorities new tools within skills development, which are specially connected to the region's smart specialisation strategy. This will contribute to an increased innovation capacity in North Sea Region by aligning these two strategic elements in a regional perspective.Hanze will focus on strengthening new developments in energy transition by exploring growth potential of cross-border and cross-sectoral aspects. Expertise in value chain and systems innovations including cluster systems development and digital/other technologies will be leveraged to support exploration of growth potential and needs of the energy industry. HZ will co-create and evaluate new strategies, knowledge, skills and business models with clusters and businesses in energy transition sector.
The project aims to maintain a competitive regional economy and to strengthen innovation support capacity by ensuring access to a strong and adaptable workforce with the necessary skills to support future growth. This will be done by increasing regional knowledge on future skills needs amongst SMEs and bridging existing skills gaps. Innovation support mechanisms and educational practices will be tested allowing for adjustments and the development of a robust future-proofed flexible system. The project will give authorities new tools within skills development, which are specially connected to the region's smart specialisation strategy. This will contribute to an increased innovation capacity in North Sea Region by aligning these two strategic elements in a regional perspective.Hanze will focus on strengthening new developments in energy transition by exploring growth potential of cross-border and cross-sectoral aspects. Expertise in value chain and systems innovations including cluster systems development and digital/other technologies will be leveraged to support exploration of growth potential and needs of the energy industry. HZ will co-create and evaluate new strategies, knowledge, skills and business models with clusters and businesses in energy transition sector.
