Digital education governance:Data visualization, predictive analytics, and ‘real-time’ policy instruments

Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a massive online data bank, produced by Pearson Education, which deploys highly sophisticated digital interactive data visualizations to construct knowledge about education systems. The second case considers ‘learning analytics’ platforms that enable the tracking and predicting of students’ performances through their digital data traces. These digital policy instruments are evidence of how digital database instruments and infrastructures are now at the centre of efforts to know, govern and manage education both nationally and globally. The governing of education, augmented by techniques of digital education governance, is being distributed and displaced to new digitized ‘centres of calculation’, such as Pearson and Knewton, with the technical expertise to calculate and visualize the data, plus the predictive analytics capacities to anticipate and pre-empt educational futures. As part of a data-driven style of governing, these emerging digital policy instruments prefigure the emergence of ‘real-time’ and ‘future-tense’ techniques of digital education governance

Fertility, Living Arrangements, Care and Mobility

There are four main interconnecting themes around which the contributions in this book are based. This introductory chapter aims to establish the broad context for the chapters that follow by discussing each of the themes. It does so by setting these themes within the overarching demographic challenge of the twenty-first century – demographic ageing. Each chapter is introduced in the context of the specific theme to which it primarily relates and there is a summary of the data sets used by the contributors to illustrate the wide range of cross-sectional and longitudinal data analysed

Change in the Gender Division of Domestic Work after Mummy or Daddy Took Leave: An Examination of Alternative Explanations

This study investigates how the duration of child care leave taken by mothers and fathers relates to changes in couples' division of housework and child care after postnatal labour market return in Germany. It explores whether take-up of child care related leave may impact the gender division of domestic work beyond the period of leave and examines three theoretical explanations: 1) development of domestic work skills, 2) bargaining power based on economic resources, and 3) adaptations in gender role or parenting identities. Using data from the German Socio-Economic Panel (1992-2012) on 797 and 762 couples with a first or second birth, respectively, we applied OLS regression models with lagged dependent variables in combination with Heckman selection correction. The results suggested that dual-earner couples where mothers took longer leaves experienced a greater shift towards a gender-traditional division of domestic labour after childbirth even in the medium-term after labour market return. The linear relationship and stronger effects on the division of child care than for housework lent support to identity-based explanations. Paternal leave take-up was associated with a more equal division of housework and child care after first births but not after second birth transitions. The relationship with the leave duration was less clear. In terms of explaining the mechanisms for fathers, the findings provided greatest support for explanations relating to domestic skills development possibly in combination with changes in fathering identities

Vignette studies of medical choice and judgement to study caregivers' medical decision behaviour: systematic review

BACKGROUND: Vignette studies of medical choice and judgement have gained popularity in the medical literature. Originally developed in mathematical psychology they can be used to evaluate physicians' behaviour in the setting of diagnostic testing or treatment decisions. We provide an overview of the use, objectives and methodology of these studies in the medical field. METHODS: Systematic review. We searched in electronic databases; reference lists of included studies. We included studies that examined medical decisions of physicians, nurses or medical students using cue weightings from answers to structured vignettes. Two reviewers scrutinized abstracts and examined full text copies of potentially eligible studies. The aim of the included studies, the type of clinical decision, the number of participants, some technical aspects, and the type of statistical analysis were extracted in duplicate and discrepancies were resolved by consensus. RESULTS: 30 reports published between 1983 and 2005 fulfilled the inclusion criteria. 22 studies (73%) reported on treatment decisions and 27 (90%) explored the variation of decisions among experts. Nine studies (30%) described differences in decisions between groups of caregivers and ten studies (33%) described the decision behaviour of only one group. Only six studies (20%) compared decision behaviour against an empirical reference of a correct decision. The median number of considered attributes was 6.5 (IQR 4-9), the median number of vignettes was 27 (IQR 16-40). In 17 studies, decision makers had to rate the relative importance of a given vignette; in six studies they had to assign a probability to each vignette. Only ten studies (33%) applied a statistical procedure to account for correlated data. CONCLUSION: Various studies of medical choice and judgement have been performed to depict weightings of the value of clinical information from answers to structured vignettes of care givers. We found that the design and analysis methods used in current applications vary considerably and could be improved in a large number of cases

Pain Coping Skills Training for African Americans With Osteoarthritis Study: Baseline Participant Characteristics and Comparison to Prior Studies

Background: The Pain Coping Skills Training for African Americans with OsteoaRTthritis (STAART) trial is examining the effectiveness of a culturally enhanced pain coping skills training (CST) program for African Americans with osteoarthritis (OA). This disparities-focused trial aimed to reach a population with greater symptom severity and risk factors for poor pain-related outcomes than previous studies. This paper compares characteristics of STAART participants with prior studies of CST or cognitive behavioral therapy (CBT)-informed training in pain coping strategies for OA. Methods: A literature search identified 10 prior trials of pain CST or CBT-informed pain coping training among individuals with OA. We descriptively compared characteristics of STAART participants with other studies, in 3 domains of the National Institutes of Minority Health and Health Disparities' Research Framework: Sociocultural Environment (e.g., age, education, marital status), Biological Vulnerability and Mechanisms (e.g, pain and function, body mass index), and Health Behaviors and Coping (e.g., pain catastrophizing). Means and standard deviations (SDs) or proportions were calculated for STAART participants and extracted from published manuscripts for comparator studies. Results: The mean age of STAART participants, 59 years (SD = 10.3), was lower than 9 of 10 comparator studies; the proportion of individuals with some education beyond high school, 75%, was comparable to comparator studies (61-86%); and the proportion of individuals who are married or living with a partner, 42%, was lower than comparator studies (62-66%). Comparator studies had less than about 1/3 African American participants. Mean scores on the Western Ontario and McMaster Universities Osteoarthritis Index pain and function scales were higher (worse) for STAART participants than for other studies, and mean body mass index of STAART participants, 35.2 kg/m2 (SD = 8.2), was higher than all other studies (30-34 kg/m2). STAART participants' mean score on the Pain Catastrophizing scale, 19.8 (SD = 12.3), was higher (worse) than other studies reporting this measure (7-17). Conclusions: Compared with prior studies with predominantly white samples, STAART participants have worse pain and function and more risk factors for negative pain-related outcomes across several domains. Given STAART participants' high mean pain catastrophizing scores, this sample may particularly benefit from the CST intervention approach

Contested Visions: Digital Discourses as Empty Signifiers from the ‘Network’ to ‘Big Data’

This paper engages with two key concepts that define our digital cultures: the ‘network’ and ‘big data’. It critically considers how these concepts are often framed by techno-utopian or techno-dystopian political understandings of historical transformation. In the last years, the relationship between technological discourses and political visions, has lead to the emergence of critical research in the field (Mosco, 2004; Hindeman, 2010; Morozov, 2011, 2013). This research has shown that we cannot fully understand digital discourses without considering the very Western belief that technological innovation necessarily leads to new political possibilities. By drawing on the findings of a cross-cultural ethnographic research amongst three different political groups in Europe, this paper argues that current research in the field has focused too long on how digital discourse is shaped by Western meta-narratives of technological progress. This is to detriment to a careful consideration of the fact that different political actors discorsively construct digital technologies with reference to different political visions. Understanding these contested visions, the paper will show, is of central importance as it could enable us to appreciate that digital discourses have become today ‘empty signifiers’ (Laclau, 1996), which define the basis of contemporary hegemonic struggles

Economic imaginaries of the Anti-biosis : between ‘economies of resistance’ and the ‘resistance of economies’

This paper seeks reports on the way economic principles, formulae and discourse inform biological research on antimicrobial resistance (AMR) in the life sciences. AMR, it can be argued, has become the basis for performing certain forms of ‘economic imaginary’. Economic imaginaries are ways of projecting and materially restructuring economic and political orders through motifs, metaphors, images and practices. The paper contributes to critical social science and humanities research on the socio-economic underpinning of biological discourse. The performance of economy in this context can be seen to follow two key trajectories. The first trajectory, discussed at length in this paper, might be described as ‘economies of resistance’. Here the language of market economics structures and frames microbiological explanations of bacterial resistance. This can be illustrated through, for example, biological theories of ‘genetic capitalism’ where capitalism itself is seen to furnish microbial life with modes of economic behaviour and conduct. ‘Economies of resistance’ are evidence of the naturalisation of socio-economic structures in expert understandings of AMR. The methodological basis of this paper lies in a historical genealogical investigation into the use of economic and market principles in contemporary microbiology. The paper reports on a corpus of published academic sources identified through the use of keywords, terms, expressions and metaphors linked to market economics. Search terms included, but were not limited to: ‘trade-off’, ‘investment’, ‘market/s’, ‘investment’, ‘competition’, ‘cooperation’, ‘economy’, ‘capital/ism’, ‘socialist/ism’, etc. ‘Economies of resistance’ complements a second distinct trajectory that can be seen to flow in the opposite direction from biology to economic politics (the ‘resistance of economies’). Here, economic imaginaries of microbial life are redeployed in large-scale debates about the nature of economic life, about the future of the welfare state, industrial strategy, and about the politics of migration and race, etc. ‘Economies of resistance’ and the ‘resistance of economies’ are not unrelated but, instead, they are mutually constituting dynamics in the co-production of AMR. In attempting to better understand this co-production, the paper draws upon literatures on the biopolitics of immunity in political philosophy and Science and Technology Studies (STS)