Teacher shortages are a significant concern in many countries. Hiring pre-service teachers could help to alleviate this problem while providing students an opportunity to develop skills in a realwork context. However, being employed alongside full-time studying might compete with attendance or self-study and, thereby, hinder study progress. This study analyzed the effect of student employment on the study progress of 132 pre-service teachers, using 25 repeated measures over 4 years (n = 3,245). Employment hours, remuneration, domain-relevance, and timing (year of college) were taken into account. Multilevel growth analyses showed that students who spent more time on a paid teaching job in year 3 or 4 obtained significantly more study credits compared to those who were not paid or got paid for a job outside of education. Overall, student employment did not relate to less study progress and depending on domain-relevance, timing and remuneration, the effect can even be positive.
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Many health education programs use progress tests to evaluate students’ progress in learning and to identify possible gaps in the curricula. The tests are typically longitudinal and feedback-oriented. Although many benefits of the progress test have been described in the literature, we argue that the acclaimed facilitation of deeper learning and better retention of knowledge appear questionable. We therefore propose an innovative way of presenting both the test itself and the study process for the test: a real-time-strategy game with in-game challenges, both individual and in teams.
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A substantial part of graduate education in veterinary medicine is spent in clinical practice. During the clinical experiential phase, it is difficult to monitor students' actual knowledge development: they build individual records of experiences based on the cases they have to deal with, while mainly focusing on knowledge that is of direct, clinical relevance to them. As a result, students' knowledge bases may differ to such a degree that a single test alone may not be able to provide an adequate reflection of progress made. In these circumstances, progress testing, which is a method of longitudinal assessment independent of the curricular structure, may offer a viable solution. The purpose of this study, therefore, was to determine the extent to which progress tests (PT) can be used to monitor progress in knowledge development at a graduate level in veterinary medical education. With a 6-month interval, we administered two tests to students based on the Maastricht Progress Test format that covered a large variety of veterinary topics. Consequently, we analyzed students' progress in knowledge development. Based on a substantive appraisal of the questions and analysis of the test results, we concluded that the tests met the measurement criteria. They appeared sensitive enough to gauge the progress made and were appreciated by the students. Hence, in spite of the differences within the whole graduate group, the PT format can be used to monitor students' knowledge development.
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Huntington’s disease (HD) and various spinocerebellar ataxias (SCA) are autosomal dominantly inherited neurodegenerative disorders caused by a CAG repeat expansion in the disease-related gene1. The impact of HD and SCA on families and individuals is enormous and far reaching, as patients typically display first symptoms during midlife. HD is characterized by unwanted choreatic movements, behavioral and psychiatric disturbances and dementia. SCAs are mainly characterized by ataxia but also other symptoms including cognitive deficits, similarly affecting quality of life and leading to disability. These problems worsen as the disease progresses and affected individuals are no longer able to work, drive, or care for themselves. It places an enormous burden on their family and caregivers, and patients will require intensive nursing home care when disease progresses, and lifespan is reduced. Although the clinical and pathological phenotypes are distinct for each CAG repeat expansion disorder, it is thought that similar molecular mechanisms underlie the effect of expanded CAG repeats in different genes. The predicted Age of Onset (AO) for both HD, SCA1 and SCA3 (and 5 other CAG-repeat diseases) is based on the polyQ expansion, but the CAG/polyQ determines the AO only for 50% (see figure below). A large variety on AO is observed, especially for the most common range between 40 and 50 repeats11,12. Large differences in onset, especially in the range 40-50 CAGs not only imply that current individual predictions for AO are imprecise (affecting important life decisions that patients need to make and also hampering assessment of potential onset-delaying intervention) but also do offer optimism that (patient-related) factors exist that can delay the onset of disease.To address both items, we need to generate a better model, based on patient-derived cells that generates parameters that not only mirror the CAG-repeat length dependency of these diseases, but that also better predicts inter-patient variations in disease susceptibility and effectiveness of interventions. Hereto, we will use a staggered project design as explained in 5.1, in which we first will determine which cellular and molecular determinants (referred to as landscapes) in isogenic iPSC models are associated with increased CAG repeat lengths using deep-learning algorithms (DLA) (WP1). Hereto, we will use a well characterized control cell line in which we modify the CAG repeat length in the endogenous ataxin-1, Ataxin-3 and Huntingtin gene from wildtype Q repeats to intermediate to adult onset and juvenile polyQ repeats. We will next expand the model with cells from the 3 (SCA1, SCA3, and HD) existing and new cohorts of early-onset, adult-onset and late-onset/intermediate repeat patients for which, besides accurate AO information, also clinical parameters (MRI scans, liquor markers etc) will be (made) available. This will be used for validation and to fine-tune the molecular landscapes (again using DLA) towards the best prediction of individual patient related clinical markers and AO (WP3). The same models and (most relevant) landscapes will also be used for evaluations of novel mutant protein lowering strategies as will emerge from WP4.This overall development process of landscape prediction is an iterative process that involves (a) data processing (WP5) (b) unsupervised data exploration and dimensionality reduction to find patterns in data and create “labels” for similarity and (c) development of data supervised Deep Learning (DL) models for landscape prediction based on the labels from previous step. Each iteration starts with data that is generated and deployed according to FAIR principles, and the developed deep learning system will be instrumental to connect these WPs. Insights in algorithm sensitivity from the predictive models will form the basis for discussion with field experts on the distinction and phenotypic consequences. While full development of accurate diagnostics might go beyond the timespan of the 5 year project, ideally our final landscapes can be used for new genetic counselling: when somebody is positive for the gene, can we use his/her cells, feed it into the generated cell-based model and better predict the AO and severity? While this will answer questions from clinicians and patient communities, it will also generate new ones, which is why we will study the ethical implications of such improved diagnostics in advance (WP6).
Organ-on-a-chip technology holds great promise to revolutionize pharmaceutical drug discovery and development which nowadays is a tremendously expensive and inefficient process. It will enable faster, cheaper, physiologically relevant, and more reliable (standardized) assays for biomedical science and drug testing. In particular, it is anticipated that organ-on-a-chip technology can substantially replace animal drug testing with using the by far better models of true human cells. Despite this great potential and progress in the field, the technology still lacks standardized protocols and robust chip devices, which are absolutely needed for this technology to bring the abovementioned potential to fruition. Of particular interest is heart-on-a-chip for drug and cardiotoxicity screening. There is presently no preclinical test system predicting the most important features of cardiac safety accurately and cost-effectively. The main goal of this project is to fabricate standardized, robust generic heart-on-a-chip demonstrator devices that will be validated and further optimized to generate new physiologically relevant models to study cardiotoxicity in vitro. To achieve this goal various aspects will be considered, including (i) the search for alternative chip materials to replace PDMS, (ii) inner chip surface modification and treatment (chemistry and topology), (iii) achieving 2D/3D cardiomyocyte (long term) cell culture and cellular alignment within the chip device, (iv) the possibility of integrating in-line sensors in the devices and, finally, (v) the overall chip design. The achieved standardized heart-on-a-chip technology will be adopted by pharmaceutical industry. This proposed project offers a unique opportunity for the Netherlands, and Twente in particular, which has relevant expertise, potential, and future perspective in this field as it hosts world-leading companies pioneering various core aspects of the technology that are relevant for organs-on-chips, combined with two world-leading research institutes within the University of Twente.
communicative participation, language disordersOBJECTIVE(S)/RESEARCH QUESTION(S) Speech and language therapists (SLTs) are the primary care professionals to treat language and communication disorders. Their treatment is informed by a variety of outcome measures. At present, diagnosis, monitoring of progress and evaluation are often based on performance-based and clinician-reported outcomes such as results of standardized speech, language, voice, or communication tests. These tests typically aim to capture how well the person can produce or understand language in a controlled situation, and therefore only provide limited insight in the person’s challenges in life. Performance measures do not incorporate the unobservable feelings such as a patient's effort, social embarrassment, difficulty, or confidence in communication. Nor do they address language and communication difficulties experienced by the person themselves, the impact on daily life or allow patients to set goals related to their own needs and wishes. The aim of our study is give our patients a voice and empower SLTs to incorporate their patient's perspective in planning therapy. We will Aangemaakt door ProjectNet / Generated by ProjectNet: 08-12-2020 12:072Subsidieaanvraag_digitaal / Grant Application_digitaalDossier nummer / Dossier number: 80-86900-98-041DEFINITIEFdevelop a valid and reliable patient-reported outcome measure that provides information on communicative participation of people with communication disorders and integrate this item bank in patient specific goal setting in speech and language therapy. Both the item bank and the goal setting method will be adapted in cocreation with patients to enable access for people with communication difficulties.STUDY DESIGN Mixed methods research design following the MRC guidance for process evaluation of complex interventions, using PROMIS methodology including psychometric evaluation and an iterative user-centered design with qualitative co-creation methods to develop accessible items and the goal setting method.RESEARCH POPULATION Children, adolescents and adults with speech, language, hearing, and voice disorders.OUTCOME MEASURES An online patient-reported outcome measure on communicative participation, the Communicative Participation Item Bank (CPIB), CPIB items that are accessible for people with language understanding difficulties, a communicative-participation person-specific goal setting method developed with speech and language therapists and patients and tested on usability and feasibility in clinical practice, and a course for SLTs explaining the use of the goal-setting method in their clinical reasoning process.RELEVANCE This study answers one of the prioritized questions in the call for SLTs to systematically and reliably incorporate the clients’ perspective in their daily practice to improve the quality of SLT services. At present patient reported outcomes play only a small role in speech and language therapy because 1) measures (PROMS) are often invalid, not implemented and unsuitable for clinical practice and 2) there is a knowledge gap in how to capture and interpret outcomes from persons with language disorders.
