We need educators to be constantly updating their skills and knowledge, and evidenced-informed practice is central to this; yet it is far from universal in our schools. Kristin Vanlommel and Chris Brown draw on their international research to show how EIP can be achieved based on three core principles. With this article, we consider the engagement by teachers and school leaders in educational practices that are ‘evidence-informed’ - across school systems and world-wide. There is a growing consensus that effective teaching and leadership is based on evidence-informed practice (or EIP), and that EIP results in improving student learning and achievement.
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Digital innovation in education – as in any other sector – is not only about developing and implementing novel ideas, but also about having these ideas effectively used as well as widely accepted and adopted, so that many students can benefit from innovations improving education. Effectiveness, transferability and scalability cannot be added afterwards; it must be integrated from the start in the design, development and implementation processes, as is proposed in the movement towards evidence-informed practice (EIP). The impact an educational innovation has on the values of various stakeholders is often overlooked. Value Sensitive Design (VSD) is an approach to integrate values in technological design. In this paper we discuss how EIP and VSD may be combined into an integrated approach to digital innovation in education, which we call value-informed innovation. This approach not only considers educational effectiveness, but also incorporates the innovation’s impact on human values, its scalability and transferability to other contexts. We illustrate the integrated approach with an example case of an educational innovation involving digital peer feedback.
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Kennis uit onderzoek is van cruciaal belang om het onderwijs te verbeteren en te innoveren. Dit vraagt om een nauwe verbinding tussen onderwijsonderzoek en de dagelijkse onderwijspraktijk. De roep om een meer lerende cultuur in het onderwijs en de ambitie om onderwijsonderzoek meer te benutten voor het verbeteren van de onderwijspraktijk is niet nieuw: in het onderwijswerkveld zijn steeds meer scholen bezig met kennisbenutting, en het vraagstuk staat al langere tijd op de politieke agenda. Tegelijkertijd blijkt uit verschillende studies dat dit nog geen vanzelfsprekendheid is en dat het versterken van een kennisinfrastructuur een bijzonder complexe opgave is. In opdracht van de onderwijsraad heeft het lectoraat Public Governance een internationale vergelijking uitgevoerd naar de kennisinfrastructuur in andere – met Nederland vergelijkbare – landen. Deze ‘best practices’ zijn beschreven vanuit de vraag: wat kan Nederland van deze andere landen leren?
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AIM: Early intervention programs for first-episode psychosis have led to the awareness that the period before onset of a first episode is important in light of early intervention. This has induced a focus on the so-called 'at risk mental state' (ARMS). Individuals with ARMS are at increased risk for later psychotic disorder, but also for other psychiatric disorders as well as poor psychosocial functioning. Thus, adequate detection and treatment of ARMS is essential.METHODS: Since 2018, screening for and treatment of ARMS is recommended standard care in the Netherlands. Implementation is still ongoing. We initiated a naturalistic long-term cohort study of ARMS individuals, the onset and transition of and recovery from adverse development (OnTheROAD) study, with the aim to monitor course and outcome of symptoms and psychosocial functioning over time, as well as patterns of comorbidity and associations with factors of risk and resilience. To this end, participants complete a broad battery of instruments at baseline and yearly follow-up assessments up to 3 years. Outcome is defined in terms of symptom severity level, functioning and quality of life. In particular, we aim to investigate the impact of negative symptoms as part of the ARMS concept. Results from this study can aid in refining the existing ARMS criteria, understanding the developmental course of ARMS and investigating the hypothesized pluripotentiality in outcome of ARMS. New knowledge may inform the further development of specialized early interventions.RESULTS AND CONCLUSIONS: In this article, we describe the rationale, outline and set-up of OnTheROAD.
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Introduction The Integrated Recovery Scales (IRS) was developed by the Dutch National Expertise board for routine outcome monitoring with severe mental illnesses. This board aimed to develop a multidimensional recovery measure directed at 1. clinical recovery, 2. physical health, 3. social recovery (work, social contacts, independent living) and 4. existential, personal recovery. The measure had to be short, suited for routine outcome monitoring and present the perspective of both mental health professionals and service users with severe mental illnesses. All aspects are assessed over a period of the pas 6 months. Objectives The objective of this research is validation of the Integral Recovery Scales and to test the revelance for clinical practice and police evaluation. Methods The instrument was tested with 500 individuals with severe mental illnesses (80% individuals with a psychotic disorder), of whom 200 were followed up for 1 year. For the questions concerning clinical recovery, physical health and social recovery mental health care workers conducted semi structured interviews with people living with serious illnesses. The questions concerning personal health were self-rated. We analyzed interrater reliability, convergent and divergent validity and sensitivity to change. Results The instrument has a good validity and is easy to complete for service users and mental health care workers and appropriate for clinical and policy evaluation goals. Conclusions The Integrated Recovery Scales can be a useful instrument for a simple and meaningful routine outcome monitoring. Page: 121
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This paper proposes and showcases a methodology to develop an observational behavior assessment instrument to assess psychological competencies of police officers. We outline a step-by-step methodology for police organizations to measure and evaluate behavior in a meaningful way to assess these competencies. We illustrate the proposed methodology with a practical example. We posit that direct behavioral observation can be key in measuring the expression of psychological competence in practice, and that psychological competence in practice is what police organizations should care about. We hope this paper offers police organizations a methodology to perform scientifically informed observational behavior assessment of their police officers’ psychological competencies and inspires additional research efforts into this important area.
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This study aims to explore the experiences and needs of individuals after a first episode of psychosis with regard to the way in which information about diagnosis, treatment options and prognosis is communicated with them. psychosis, communicating, stigma, needs, individual’s perception
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Introduction F-ACT is a flexible version of Assertive Community Treatment to deliver care in a changing intensity depending on needs of individuals with severe mental illnesses (Van Veldhuizen, 2007). In 2016 a number of the FACT-teams in the Dutch region of Utrecht moved to locations in neighborhoods and started to work as one network team together with neighborhood based facilities in primary care (GP’s) and in the social domain (supported living, social district teams, etc.). This should create better chances on clinical, social and personal recovery of service users. Objectives This study describes the implementation, obstacles and outcomes for service users. The main question is whether this Collaborative Mental Health Care in the Community produces better outcome than regular FACT. Measures include (met/unmet) needs for care, quality of life, clinical, functional and personal recovery, and hospital admission days. Methods Data on care utilization regarding the innovation are compared to regular FACT. Qualitative interviews are conducted to gain insight in the experiences of service users, their family members and mental health care workers. Changes in outcome measures of service users in pilot areas (N=400) were compared to outcomes of users (matched on gender and level of functioning) in regular FACT teams in the period 2015-2018 (total N=800). Results Data-analyses will take place from January to March 2019. Initial analyses point at a greater feeling of holding and safety for service users in the pilot areas and less hospital admission days. Conclusions Preliminary results support the development from FACT to a community based collaborative care service.
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The transition towards a sustainable and healthy food system is one of the major sustainability challenges of today, next to the energy transition and the transition from a linear to circular economy. This paper provides a timely and evidence-based contribution to better understand the complex processes of institutional change and transformative social-ecological innovation that takes place in the food transition, through a case study of an open innovation and food transition network in The Netherlands, the South-Holland Food Family (Zuid-Hollandse Voedselfamilie). This network is supported by the provincial government and many partners, with the ambition to realize more sustainable agricultural and food chains, offering healthy, sustainable and affordable food for everyone in the Province of South-Holland in five to ten years from now. This ambition cannot be achieved through optimising the current food system. A transition is needed – a fundamental change of the food system’s structure, culture and practice. The Province has adopted a transition approach in its 2016 Innovation Agenda for Sustainable Agriculture. This paper provides an institutional analysis of how the transition approach has been established and developed in practice. Our main research question is what interventions and actions have shaped the transition approach and how does the dynamic interplay between actors and institutional structures influence institutional change, by analysing a series of closely related action situations and their context, looking at 'structure' and 'agency', and at the output-outcomes-impact of these action situations. For this purpose, we use the Transformative Social-Ecological Innovation (TSEI)-framework to study the dynamic interplay between actors and institutional structures influencing institutional change. The example of TSEI-framework application in this paper shows when and how local agents change the institutional context itself, which provides relevant insights on institutional work and the mutually constitutive nature of structure and agency. Above institutional analysis also shows the pivotal role of a number of actors, such as network facilitators and provincial minister, and their capability and skills to combine formal and informal institutional environments and logics and mobilize resources, thereby legitimizing and supporting the change effort. The results are indicative of the importance of institutional structures as both facilitating (i.e., the province’s policies) and limiting (e.g. land ownership) transition dynamics.
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Abstract Despite the numerous business benefits of data science, the number of data science models in production is limited. Data science model deployment presents many challenges and many organisations have little model deployment knowledge. This research studied five model deployments in a Dutch government organisation. The study revealed that as a result of model deployment a data science subprocess is added into the target business process, the model itself can be adapted, model maintenance is incorporated in the model development process and a feedback loop is established between the target business process and the model development process. These model deployment effects and the related deployment challenges are different in strategic and operational target business processes. Based on these findings, guidelines are formulated which can form a basis for future principles how to successfully deploy data science models. Organisations can use these guidelines as suggestions to solve their own model deployment challenges.
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