This paper explores the contributions of research to the field of adults learning mathematics (ALM) in the last twenty years. The results of the review of the literature on ALM show that the most cited studies that have been published in the last twenty years tend to focus on the field of numeracy to understand health data (such as understanding how to dose a medicine in a medical treatment). However, we know little about key aspects of how adults learn mathematics, what obstacles they encounter, and how they overcome them. This paper identifies the main gaps that ALM research faces in the coming years.
The European Manifesto for Inclusive Learning is an initiative of the University of Florence to promote adult education for migrants and refugees. The program seeks to provide “a concrete tool for adult educators to promote adult learning in their local context”. In order to achieve this goal, eight European Union partners in different EU countries collaborated intensively for 1 ½ year to exchange experiences, expand opportunities and to seek to promote a more coordinated and integrated approach. Each partner collected case studies of good practices using a common tool for collecting data. The results of the Dutch partner, The Hague University of Applied Sciences are presented here. Seven cases have been studied with very different, mainly informal ways of mutual learning in the Netherlands. First the Manifesto is described in more detail. This is followed by a sketch of refugee flows to the Netherlands and the Dutch asylum system. After these chapters, the different cases are presented, followed by a conclusion and recommendations based on the Dutch good practices.
To adequately deal with the challenges faced within residential care for older people, such as the increasing complexity of care and a call for more person-centred practices, it is important that health care providers learn from their work. This study investigates both the nature of learning, among staff and students working within care for older people, and how workplace learning can be promoted and researched. During a longitudinal study within a nursing home, participatory and democratic research methods were used to collaborate with stakeholders to improve the quality of care and to promote learning in the workplace. The rich descriptions of these processes show that workplace learning is a complex phenomenon. It arises continuously in reciprocal relationship with all those present through which both individuals and environment change and co-evolve enabling enlargement of the space for possible action. This complexity perspective on learning refines and expands conventional beliefs about workplace learning and has implications for advancing and researching learning. It explains that research on workplace learning is itself a form of learning that is aimed at promoting and accelerating learning. Such research requires dialogic and creative methods. This study illustrates that workplace learning has the potential to develop new shared values and ways of working, but that such processes and outcomes are difficult to control. It offers inspiration for educators, supervisors, managers and researchers as to promoting conditions that embrace complexity and provides insight into the role and position of self in such processes.
CRYPTOPOLIS is a project supported by EU which focuses on the financial management knowledge of teachers and the emerging field of risk management and risk analysis of cryptocurrencies. Cryptocurrency has shown to be a vital and rapidly growing component in today’s digital economy therefore there is a need to include not just financial but also crypto literacy into the schools. Beside multiple investors and traders the market is attracting an increasing number of young individuals, viewing it as an easy way to make money. A large pool of teenagers and young adults want to hop on this train, but a lack of cryptocurrency literacy, as well as financial literacy in general amongst youth, together with their inexperience with investing makes them even more vulnerable to an already high-risk investment.Therefore, we aim to increase the capacity and readiness of secondary schools and higher educational institutions to manage an effective shift towards digital education in the field of crypto and financial literacy. The project will develop the purposeful use of digital technologies in financial and crypto education for teaching, learning, assessment and engagement.
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).
The growing use of digital media has led to a society with plenty of new opportunities for knowledge exchange, communication and entertainment, but also less desirable effects like fake news or cybercrime. Several studies, however, have shown that children are less digital literate than expected. Digital literacy has consequently become a key part within the new national educational policy plans titled Curriculum.nu and the Dutch research and policy agendas. This research project is focused on the role the game sector can play in the development of digital literacy skills of children. In concrete, we want to understand the value of the use of digital literacy related educational games in the context of primary education. Taking into consideration that the childhood process of learning takes place through playing, several studies claim that the introduction of the use of technology at a young age should be done through play. Digital games seem a good fit but are themselves also part of digital media we want young people to be literate about. Furthermore, it needs to be taken into account that digital literacy of teachers can be limited as well. The interactive, structured nature of digital games offers potential here as they are less dependent on the support and guidance of an adult, but at the same time this puts even more emphasis on sensible game design to ensure the desired outcome. The question is, then, if and how digital games are best designed to foster the development of digital literacy skills. By harnessing the potential of educational games, a consortium of knowledge and practice partners aim to show how creating theoretical and practical insights about digital literacy and game design can aid the serious games industry to contribute to the societal challenges concerning contemporary literacy demands.
