The research group Teaching, Learning & Technology investigates the didactic use of technology in learning processes. In doing so, it looks at themes such as flexibilisation, personalised learning, activating didactics and the effects of the use of technology in educational practice, particularly in higher vocational education. What had not been investigated so far was whether previously conducted research had a demonstrable impact on educational practice. This study is the first phase in providing insight into the impact of research carried out by the Teaching, Learning & Technology (TLT) research group of Inholland University of Applied Sciences. It looks at research carried out between 2010 and 2021. The objective is to describe how impact factors that can be influenced in previous research have been shaped. On the basis of this description, it may be possible to make recommendations to the research group with which the impact of the research it conducts in relation to these factors can be increased. The research question is: How do stakeholders describe the impact of research carried out by the research group Teaching, Learning & Technology in relation to the impact factors that can be influenced with regard to the research, the dissemination and the user value (experienced)? In order to answer this research question, we used a convergent mixed methods design, in which a new conceptual model served as the basis for the analysis of data from the field research. Three types of data were collected, namely a qualitative document analysis (N=31), a survey (N=6) and semi-structured interviews with survey participants (N=4). The study revealed that stakeholders mainly point to the researcher as the primary source of impact. Impact begins and ends with the researcher, especially in the extent to which he or she makes an effort to make the research relevant and in line with questions from the educational practice. We have listed a number of recommendations with regard to the way in which impact can be achieved in future research. These recommendations are mainly aimed at the way in which researchers of the research group can pay attention in a structured way to the design of the collaboration and to the concrete visualisation of expectations and intended impact at an early stage.
Active participation of stakeholders in health research practice is important to generate societal impact of outcomes, as innovations will more likely be implemented and disseminated in clinical practice. To foster a co-creative process, numerous frameworks and tools are available. As they originate from different professions, it is not evident that health researchers are aware of these tools, or able to select and use them in a meaningful way. This article describes the bottom-up development process of a compass and presents the final outcome. This Co-creation Impact Compass combines a well-known business model with tools from design thinking that promote active participation by all relevant stakeholders. It aims to support healthcare researchers to select helpful and valid co-creation tools for the right purpose and at the right moment. Using the Co-creation Impact Compass might increase the researchers’ understanding of the value of co-creation, and it provides help to engage stakeholders in all phases of a research project.
De huidige ontwikkelingen in de maatschappij leiden ertoe dat conventionele business modellen niet alle gecreëerde waarden in het business model laten terugkomen. Dit heeft tot gevolg dat deze niet onderkende waarden ook niet in het verdienmodel terugkomen. Hierdoor kunnen nieuwe business kansen niet doorgaan of bestaande business modellen onrendabel worden. Dit probleem wordt erkend in het vakgebied en er bestaan meerdere initiatieven die voorstellen doen voor nieuwe vormen van business modellen. Deze nieuwe business modellen lijken echter nog niet de slag te hebben gemaakt van strategisch naar operationeel niveau. In dit blog een eerste voorstel om tot het operationele niveau te komen.
Size measurement plays an essential role for micro-/nanoparticle characterization and property evaluation. Due to high costs, complex operation or resolution limit, conventional characterization techniques cannot satisfy the growing demand of routine size measurements in various industry sectors and research departments, e.g., pharmaceuticals, nanomaterials and food industry etc. Together with start-up SeeNano and other partners, we will develop a portable compact device to measure particle size based on particle-impact electrochemical sensing technology. The main task in this project is to extend the measurement range for particles with diameters ranging from 20 nm to 20 um and to validate this technology with realistic samples from various application areas. In this project a new electrode chip will be designed and fabricated. It will result in a workable prototype including new UMEs (ultra-micro electrode), showing that particle sizing can be achieved on a compact portable device with full measuring range. Following experimental testing with calibrated particles, a reliable calibration model will be built up for full range measurement. In a further step, samples from partners or potential customers will be tested on the device to evaluate the application feasibility. The results will be validated by high-resolution and mainstream sizing techniques such as scanning electron microscopy (SEM), dynamic light scattering (DLS) and Coulter counter.
In order to achieve much-needed transitions in energy and health, systemic changes are required that are firmly based on the principles of regard for others and community values, while at the same time operating in market conditions. Social entrepreneurship and community entrepreneurship (SCE) hold the promise to catalyze such transitions, as they combine bottom-up social initiatives with a focus on financially viable business models. SCE requires a facilitating ecosystem in order to be able to fully realize its potential. As yet it is unclear in which way the entrepreneurial ecosystem for social and community entrepreneurship facilitates or hinders the flourishing and scaling of such entrepreneurship. It is also unclear how exactly entrepreneurs and stakeholders influence their ecosystem to become more facilitative. This research programme addresses these questions. Conceptually it integrates entrepreneurial ecosystem frameworks with upcoming theories on civic wealth creation, collaborative governance, participative learning and collective action frameworks.This multidisciplinary research project capitalizes on a unique consortium: the Dutch City Deal ‘Impact Ondernemen’. In this collaborative research, we enhance and expand current data collection efforts and adopt a living-lab setting centered on nine local and regional cases for collaborative learning through experimenting with innovative financial and business models. We develop meaningful, participatory design and evaluation methods and state-of-the-art digital tools to increase the effectiveness of impact measurement and management. Educational modules for professionals are developed to boost the abovementioned transition. The project’s learnings on mechanisms and processes can easily be adapted and translated to a broad range of impact areas.
Despite the benefits of the widespread deployment of diverse Internet-enabled devices such as IP cameras and smart home appliances - the so-called Internet of Things (IoT) has amplified the attack surface that is being leveraged by cyber criminals. While manufacturers and vendors keep deploying new products, infected devices can be counted in the millions and spreading at an alarming rate all over consumer and business networks. The objective of this project is twofold: (i) to explain the causes behind these infections and the inherent insecurity of the IoT paradigm by exploring innovative data analytics as applied to raw cyber security data; and (ii) to promote effective remediation mechanisms that mitigate the threat of the currently vulnerable and infected IoT devices. By performing large-scale passive and active measurements, this project will allow the characterization and attribution of compromise IoT devices. Understanding the type of devices that are getting compromised and the reasons behind the attacker’s intention is essential to design effective countermeasures. This project will build on the state of the art in information theoretic data mining (e.g., using the minimum description length and maximum entropy principles), statistical pattern mining, and interactive data exploration and analytics to create a casual model that allows explaining the attacker’s tactics and techniques. The project will research formal correlation methods rooted in stochastic data assemblies between IoT-relevant measurements and IoT malware binaries as captured by an IoT-specific honeypot to aid in the attribution and thus the remediation objective. Research outcomes of this project will benefit society in addressing important IoT security problems before manufacturers saturate the market with ostensibly useful and innovative gadgets that lack sufficient security features, thus being vulnerable to attacks and malware infestations, which can turn them into rogue agents. However, the insights gained will not be limited to the attacker behavior and attribution, but also to the remediation of the infected devices. Based on a casual model and output of the correlation analyses, this project will follow an innovative approach to understand the remediation impact of malware notifications by conducting a longitudinal quasi-experimental analysis. The quasi-experimental analyses will examine remediation rates of infected/vulnerable IoT devices in order to make better inferences about the impact of the characteristics of the notification and infected user’s reaction. The research will provide new perspectives, information, insights, and approaches to vulnerability and malware notifications that differ from the previous reliance on models calibrated with cross-sectional analysis. This project will enable more robust use of longitudinal estimates based on documented remediation change. Project results and methods will enhance the capacity of Internet intermediaries (e.g., ISPs and hosting providers) to better handle abuse/vulnerability reporting which in turn will serve as a preemptive countermeasure. The data and methods will allow to investigate the behavior of infected individuals and firms at a microscopic scale and reveal the causal relations among infections, human factor and remediation.
