All assessments are events within a process that has the goal of making decisions about instruction, learning, curriculum, students, institutions, and consequences. Three underlying disciplines (i.e., psychometrics, psychology, and sociology) inform the evaluation of assessments. Error is ubiquitous in the selection of tasks that constitute an assessment, the administration, marking, reporting, an

Much has been written about valuing the student voice in UK higher education. The discussion runs alongside an increasing focus from university leadership on improving students’ experiences, and development of the ways in which the student voice is captured, considered, and acted upon. These techniques are central to understanding and developing student engagement (Brooman et al. 2014; Cook-Sather

Drawing on the review of quality assurance policies in higher education already set out of the introduction, this chapter explores the impact of national quality assurance processes adopted to aid consistency in the judgement of academic standards in UK higher education. Specifically, it will examine the ways in which the processes adopted to support marking and to moderate marks, known collective

“Those who can make you believe absurdities can make you commit atrocities” is a famous aphorism commonly attributed to Voltaire. The choice to publish under an alias for François-Marie Arouet, reveals that there was some sort of awareness of the relationship between power, knowledge, truth and people’s tyrannical tendencies on his part. What our dear enlightened friend could most likely not fores

We train and compare the performance of two machine learning methods, a multi-variate regression network and a ResNet-50-based neural network, to learn and forecast plant biomass as well as the relative growth rate from a short sequence of temporal images from plants in aeroponic cultivation. The training dataset consists of images of 57 plants taken from two different angles every hour during a 5

We train and compare the performance of two different machine learning algorithms to learn changes in winter wheat production for fields from the southwest of Sweden. As input to these algorithms, we use cloud-penetrating Sentinel-1 polarimetry radar data together with respective field topography and local weather over four different years. We note that all of the input data were freely available.

This article offers a reconsideration of religious mobilisation in the inter- and post-war periods. It focuses on how the Church of Sweden gradually altered its catechetical activities aimed at children to meet changing needs. Built on a range of statistical sources, this article calls for a reconsideration of the ways in which larger Protestant denominations adjusted to meet declining religious pThis article offers a reconsideration of religious mobilisation in the inter- and postwar periods. It focuses on how the Church of Sweden gradually altered its catechetical activities aimed at children to meet changing needs. Built on a range of statistical sources, this article calls for a reconsideration of the ways in which larger Protestant denominations adjusted to meet declining religious pr

The ways in which a bureaucratic model of oversight could be turned into a vehicle of individualizing religious practices in late-eighteenth-century Sweden is the central concern of this chapter. It focuses on how bureaucratic measures could be used to implement enlightened reform, thereby offering a different perspective on ‘pastoral Enlightenment’ in the rural European North. By examining how Ol

This chapter argues for the continued importance of studying the intertwining of Enlightenment and confessional culture in order to increase our understanding of how the Enlightenment took shape in the Nordic countries during the long eighteenth century. Proceeding from a careful evaluation of current scholarship, it provides an overview of political, cultural and socio-economic tendencies in the

Deep learning techniques can use public data such as facial photographs to predict sensitive personal information, but little is known about what information contributes to the predictive success of these techniques. This lack of knowledge limits both the public’s ability to protect against revealing unintended information as well as the scientific utility of deep learning results. We combine conv

The Russian invasion of Ukraine has brought an unprecedented chance to end the existence of harmful stereotype of Central and Eastern Europe as a region where the Kremlin has special interests. It has cost a lot of political efforts to bring Czechia, Poland, or the Baltic states out of this equation and join the Western institutional framework. Now there is enough momentum for doing the same with

BACKGROUND: Prolonged opioid use (more than 90 days) after injury puts the patient at risk for adverse effects. We investigated the patterns of opioid prescription after distal radius fracture and the effect of pre- and post-fracture factors on the risk for prolonged use.METHODS: This register-based cohort study uses routinely collected health care data, including purchases of prescription opioids

OBJECTIVE: Although injury burden prompts elite athletics (track and field) athletes to engage in injury management, little is known about their health literacy. We investigated musculoskeletal (MS) health literacy in world-leading athletics athletes and associations with prechampionship injury acknowledgement by reduction of training load in different socioeconomic environments.METHODS: Adult and