This conference paper deals with various organizations and pilot initiatives regarding the theme of sustainability.
How do you recognize a teacher who is competent in teaching with technology and innovating education with technology? The Framework for Digital Competences of Lecturers was developed in 2021, commissioned by the zone Professional Development of the Acceleration Plan Education with ICT. This framework describes the competences that are essential to the design of education which enables personalization and flexibilization through the use of technology and keeps up with an ever-changing society. Both research and everyday practice show that teachers need practical examples and further clarification of the competences addressed in the framework to properly assess their own actions and development needs. Moreover, support staff and HR staff recognize the same need. To cater to these needs, the iXperium has formulated behavioural indicators to complement the competences in the framework. These behavioural indicators describe examples of demonstrable and actionable behaviour which competent teachers might display. The behavioural indicators, therefore, answer the following question: what can you observe when someone is competent? By complementing each competence with clear, objectively observable behavioural indicators, this document facilitates a discussion of the teacher’s real-life behaviour. This allows teachers and assessors a more granular insight into the degree of competence achieved.
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The purpose of the study was to assess the accuracy of estimates of step frequency from trunk acceleration data analyzed with commonly used algorithms and time window lengths, at a wide range of gait speeds. Twenty healthy young subjects performed an incremental treadmill protocol from 1 km/h up to 6 km/h, with steps of 1 km/h. Each speed condition was maintained for two minutes. A waist worn accelerometer recorded trunk accelerations, while video analysis provided the correct number of steps taken during each gait speed condition. Accuracy of two commonly used signal analysis methods was examined with several different time windows.
Low back pain is the leading cause of disability worldwide and a significant contributor to work incapacity. Although effective therapeutic options are scarce, exercises supervised by a physiotherapist have shown to be effective. However, the effects found in research studies tend to be small, likely due to the heterogeneous nature of patients' complaints and movement limitations. Personalized treatment is necessary as a 'one-size-fits-all' approach is not sufficient. High-tech solutions consisting of motions sensors supported by artificial intelligence will facilitate physiotherapists to achieve this goal. To date, physiotherapists use questionnaires and physical examinations, which provide subjective results and therefore limited support for treatment decisions. Objective measurement data obtained by motion sensors can help to determine abnormal movement patterns. This information may be crucial in evaluating the prognosis and designing the physiotherapy treatment plan. The proposed study is a small cohort study (n=30) that involves low back pain patients visiting a physiotherapist and performing simple movement tasks such as walking and repeated forward bending. The movements will be recorded using sensors that estimate orientation from accelerations, angular velocities and magnetometer data. Participants complete questionnaires about their pain and functioning before and after treatment. Artificial analysis techniques will be used to link the sensor and questionnaire data to identify clinically relevant subgroups based on movement patterns, and to determine if there are differences in prognosis between these subgroups that serve as a starting point of personalized treatments. This pilot study aims to investigate the potential benefits of using motion sensors to personalize the treatment of low back pain. It serves as a foundation for future research into the use of motion sensors in the treatment of low back pain and other musculoskeletal or neurological movement disorders.
Krewerd is a small village in the North-East side of the Groningen Gas Field. It has 45 houses in total, 2 of which are included in the P50 risk zone and will therefore be assessed by National Coordinator Groningen (NCG). The rest of the houses are not in the priority list and will not be evaluated within 3 years, according to the existing plans of September 2019. It has been made clear by NCG that the usual engineering process, that includes all sorts of engineering calculations and procedures per NPR9998, cannot be followed in Krewerd. This is because the available engineering capacity is being used by NCG at its maximum, for the prior aim of accelerating the assessment and strengthening works in the P50 region. This project is prepared for presentation to NCG as an experimental project at Krewerd and is based on an initial document prepared by Fons Verheijen , a supportive document prepared by Otto Wassenaar , as well as the recent meeting by the two and Ihsan Engin Bal from Hanze. Furthermore, considering that the NCG is seeking an acceleration of the assessment procedure, the village Krewerd may play a role as a pilot.
The Hospitality, Tourism, Innovation & Technology Experts Network (HTIT-EN) is a pivotal initiative aimed at unlocking societal impact potential. The Dutch hospitality and tourism sector, which employs over half a million individuals and annually hosts more than 40 million guests, ranks as the Netherlands’ 8th largest economic sector. However, this sector faces numerous challenges, including the uncertain impact of emerging technologies and issues such as unethical behavior, workforce attrition, and staff shortages, which have been exacerbated by the COVID-19 pandemic. The advent of emerging technologies like service robots, immersive experiences, and artificial intelligence has brought the sector to a critical juncture. These innovations pose significant disruptions, challenging the traditional concept of hospitality and questioning the positive societal impact in terms of ethical considerations, inclusivity, affordability, and data privacy.Strategically positioned to address these challenges, HTIT-EN focuses on leveraging emerging technologies to create impactful scenarios and shape the future of hospitality and tourism. Our motivation stems from the sector’s societal importance and its continuous influence on our daily lives. By harnessing technology and innovation, we aim to tackle industry-specific issues and extend the positive societal impact to related human-centered service industries.The overarching mission of HTIT-EN is to empower the Dutch Hospitality and Tourism sector to serve as a driving force for technology-enabled societal impact. The primary objective is to align research activities and promote collaboration. Key objectives include bringing together leading professors specializing in technology-driven impact within the hospitality and tourism sector, initiating research projects in line with a shared research agenda and in collaboration with local and international industry partners, and collaboratively developing expertise in emerging technologies that empower the role of hospitality and tourism as catalysts for societal impact. This endeavor contributes to the development and acceleration of the Knowledge and Innovation Agenda (KIA) ‘Key technologies’ & ‘Digitalization’. The aim is to foster an excellent reputation for Dutch hospitality and tourism as a global leader in technology-driven societal impact.We have strong support from CELTH, the Centre of Expertise within the domain of leisure, tourism and hospitality for the overall ambitions of the research project.Societal issueThe HTIT-EN project bridges societal importance and cross-cutting issues in the tourism and hospitality sectors. It’s fueled by the ambition to leverage emerging technologies to tackle industry-specific challenges, including knowledge and skills gaps, labor shortages and replacements, and evolving consumer expectations.Benefit to societyThe platform brings together professors and researchers from MBO, HBO and WO knowledge institutes as well as diverse set of professional partners to stimulate collaboration, align research lines and establish joint a joint research agenda on how technology-driven impact may become a catalyst within hospitality and tourism.
