The gendered achievement in physics always bothers high school teachers, especially when problem-solving learning is involved. The lag in female students’ learning achievement in physics is reflected by the low enrolment of females in physics-related subjects at grade 12. For years, the most common method adopted by teachers was to instruct female students using repetitious exercises.
LINK
How can physics education be designed and enacted in such a way that it is in agreement with the Nature of Science (NOS) and fosters conceptual understanding in electricity? The results of the studies may have implications for practice. Teachers and teacher educators need to develop a balanced perspective on conceptual understanding in relation to inquiry and take into account the tensions that were identified. For the topic of electricity, teachers may learn from the local instruction theory and pedagogy developed in this dissertation. Both teacher education institutes and professionalization efforts need to prepare teachers for this type of instruction. This will be fostered if teachers and teacher educators develop an understanding of NOS. A noticeable classroom impact of teacher learning may be expected if teachers work cooperatively on the same issue, related to a concern about student learning, if expertise is available on the content and pedagogy, and if classroom coaching and feedback are part of the project. The criteria to evaluate textbooks may be helpful for authors of learning materials if they intend to foster model-oriented activities and inquiry, but also for practitioners for the selection of these materials and in teacher education to prepare for a systematic evaluation of learning materials for physics.
LINK
The challenges of physics teacher education are obvious: 1) physics teaching in schools is often uninspiring and ineffective, the many brilliant ideas for exciting physics are underused; 2) in many countries there is a shortage of qualified physics teachers, enrolments in physics teacher education are minimal, well qualified baby boomers are leaving, un- or under qualified teachers take their place, and physics teacher education has a low status in university physics departments; 3) good physics teaching needs lifelong nurture and maintenance. What can we do? First of all, we are lucky to have a very exciting subject, let’s make use of physics excitement and put that as a first priority in our teacher education. Then there are pre-service teaching activities which can contribute much to the learning of Pedagogical Content Knowledge (PCK) and subsequent better teaching as these methods are generating PCK within the pre-service teacher’s own classroom. Six examples are described in this paper including fast feedback as an example of formative assessment which leads teaching and almost inevitably results in development of PCK. Finally some examples are presented of induction and professional development initiatives.
DOCUMENT
Road freight transport contributes to 75% of the global logistics CO2 emissions. Various European initiatives are calling for a drastic cut-down of CO2 emissions in this sector [1]. This requires advanced and very expensive technological innovations; i.e. re-design of vehicle units, hybridization of powertrains and autonomous vehicle technology. One particular innovation that aims to solve this problem is multi-articulated vehicles (road-trains). They have a smaller footprint and better efficiency of transport than traditional transport vehicles like trucks. In line with the missions for Energy Transition and Sustainability [2], road-trains can have zero-emission powertrains leading to clean and sustainable urban mobility of people and goods. However, multiple articulations in a vehicle pose a problem of reversing the vehicle. Since it is extremely difficult to predict the sideways movement of the vehicle combination while reversing, no driver can master this process. This is also the problem faced by the drivers of TRENS Solar Train’s vehicle, which is a multi-articulated modular electric road vehicle. It can be used for transporting cargo as well as passengers in tight environments, making it suitable for operation in urban areas. This project aims to develop a reverse assist system to help drivers reverse multi-articulated vehicles like the TRENS Solar Train, enabling them to maneuver backward when the need arises in its operations, safely and predictably. This will subsequently provide multi-articulated vehicle users with a sustainable and economically viable option for the transport of cargo and passengers with unrestricted maneuverability resulting in better application and adding to the innovation in sustainable road transport.
Granular materials (GMs) are simply a collection of individual particles, e.g., rice, coffee, iron-ore. Although straightforward in appearance, GMs are key to several processes in chemical-pharmaceutical, high-tech, agri-food and energy industry. Examples include laser sintering in additive manufacturing, tableting in pharma or just mixing of your favourite crunchy muesli mix in food industry. However, these bulk material handling processes are notorious for their inefficiency and ineffectiveness. Thereby, affecting the overall expenses and product quality. To understand and enhance the quality of a process, GMs industries utilise computer-simulations, much like how cars and aeroplanes have been designed and optimised since the 1990s. Just as how engineers utilise advanced computer-models to develop our fuel-efficient vehicle design, energy-saving granular processes are also developed utilising physics-based simulation-models, using a computer. Although physics-based models can effectively optimise large-scale processes, creating and simulating a fully representative virtual prototype of a GMs process is very iterative, computationally expensive and time intensive. On the contrary, given the available data, this is where machine learning (ML) could be of immense value. Like how ML has transformed the healthcare, energy and other top sectors, recent ML-based developments for GMs show serious promise in faster virtual prototyping and reduced computational cost. Enabling industries to rapidly design and optimise, enhancing real-time data-driven decision making. GranML aims to empower the GMs industries with ML. We will do so by (i) performing an in-depth GMs-ML literature review, (ii) developing open-access ML implementation guidelines; and (iii) an open-source proof-of-concept for an industry-relevant use case. Eventually, our follow-up mission is to build upon this vital knowledge by (i) expanding the consortium; (ii) co-developing a unified methodology for efficient computer-prototyping, unifying physics- and ML-based technologies for GMs; (iii) enhancing the existing computer-modelling infrastructure; and (iv) validating through industry focused demonstrators.
Sensoren gebaseerd op nanotechnologie worden beschouwd als een technologie die sterk kan bijdragen aan de kwaliteit van de gezondheidszorg en aan het verminderen van de zorgkosten. Door hun extreme gevoeligheid zijn dit type sensoren in staat om met kleine monstervolumes in korte tijd een nauwkeurige diagnose te kunnen stellen op basis van bijvoorbeeld bloed-, speeksel-, adem- of urinemonsters. Concreet betekent dit dat met dit type sensoren eenvoudige analyses mogelijk zijn, waardoor er extra mogelijkheden naast bestaande, vaak uitgebreide, analyselaboratoria ontstaan. Hoewel er een divers aantal sensorprincipes beschikbaar is, zijn er tot op heden nog nauwelijks praktische toepassingen gerealiseerd. De reden is dat er nog een aantal technische stappen te zetten zijn om van een laboratorium-prototype sensor tot een compleet analyse-apparaat te komen. Binnen het huidige project willen de consortiumpartners deze ontwikkeling uitvoeren voor een optische nanosensor, waarbij wordt voortgebouwd op de kennis en ervaring die binnen het lectoraat NanoPhysics Interface is opgedaan in de afgelopen twee jaren. Specifiek zal worden gekeken naar twee belangrijke aspecten: het aanbrengen van de gevoelige laag en de elektronische interface. Belangrijke aspecten hierbij zijn dat de gevoelige laag (die een interactie heeft met de op te sporen stoffen) lokaal op de juiste plek op de sensor wordt aangebracht en een goede hechting vertoont. Voor sommige toepassingen kan het tevens nodig zijn dat er verschillende gevoelige lagen op een chip (met meerdere sensoren) gecombineerd kunnen worden. Voor de uitlees-elektronica zal met name gekeken worden naar de optische aansluiting op de chip (die eenvoudig te vervangen moet zijn), naar mogelijkheden tot miniaturisatie (om de meting zo flexibel mogelijk te kunnen inzetten) en naar de eisen aan de gebruikersinterface (afhankelijk van de toepassing en de doelgroep). Uiteindelijk is het de bedoeling dat het geheel samengevoegd wordt in een demonstrator-opstelling. Vanwege de huidige kennis binnen het lectoraat op het gebied van metingen aan het menselijk metabolisme via biomarkers op de huid, is ervoor gekozen om deze toepassing voor de demonstrator te gebruiken.
