Case History – Monitored Settlement of 32m Thick Compacted Fill

An abandoned brickyard, about 32 m deep, was filled with soil from numerous excavations in the Metro Toronto area with the ultimate intent of development for residential purposes. Compaction and environmental control of the fill was carried out and drainage wells installed to keep the water table low in order to hasten the rate of settlement. The fill generally was placed at approximately 85 percent saturation. A magnetic settlement system was installed as the fill was placed and the differential settlement recorded during fill placement and about 4 years after completion. The rate of settlement response was rapid but proceeded more slowly as the fill became compressed close to the saturated state

Closing the Gap between Methodologists and End-Users: R as a Computational Back-End

The R environment provides a natural platform for developing new statistical methods due to the mathematical expressiveness of the language, the large number of existing libraries, and the active developer community. One drawback to R, however, is the learning curve; programming is a deterrent to non-technical users, who typically prefer graphical user interfaces (GUIs) to command line environments. Thus, while statisticians develop new methods in R, practitioners are often behind in terms of the statistical techniques they use as they rely on GUI applications. Meta-analysis is an instructive example; cutting-edge meta-analysis methods are often ignored by the overwhelming majority of practitioners, in part because they have no easy way of applying them. This paper proposes a strategy to close the gap between the statistical state-of-the-science and what is applied in practice. We present open-source meta-analysis software that uses R as the underlying statistical engine, and Python for the GUI. We present a framework that allows methodologists to implement new methods in R that are then automatically integrated into the GUI for use by end-users, so long as the programmer conforms to our interface. Such an approach allows an intuitive interface for non-technical users while leveraging the latest advanced statistical methods implemented by methodologists

Is equal access to higher education in South Asia and sub-Saharan Africa achievable by 2030?

Higher education is back in the spotlight, with post-2015 sustainable development goals emphasising equality of access. In this paper, we highlight the long distance still to travel to achieve the goal of equal access to higher education for all, with a focus on poorer countries which tend to have lower levels of enrolment in higher education. Analysing Demographic and Health Survey data from 35 low- and middle-income countries in sub-Saharan Africa and South Asia, we show wide wealth inequalities in particular, with few if any of the poorest gaining access to higher education in some countries. We further identify that wealth and gender inequalities interact and tend to be wider in countries where levels of higher education are higher. This implies that expansion in access to higher education may predominantly benefit the rich, unless measures are taken to tackle inequalities. We find that that the rates of increase necessary for the attainment of the equal access goal by 2030 are particularly high. They pose a particularly difficult challenge given the access inequalities present from primary and secondary education in a wide majority of countries in our analysis. We therefore suggest that any measures aimed at attaining the goal need to tackle inequalities in access within a system-wide approach, focusing on the level of education at which inequalities initially manifest, alongside higher education.This is the final version of the article. It first appeared from Springer via http://dx.doi.org/10.1007/s10734-016-0039-

A 10 year case study on the changing determinants of University student satisfaction in the UK

Higher Education (HE), once the prerogative of a tiny elite, is now accessible to larger numbers of people around the world than ever before yet despite the fact that an understanding of student satisfaction has never been more important for today’s universities, the concept remains poorly understood. Here we use published data from the UK’s National Student Survey (NSS), representing data from 2.3 million full-time students collected from 2007 to 2016, as a case study of the benefits and limitations of measuring student satisfaction that might have applicability for other countries, particularly those that, like the UK, have experienced significant growth in student numbers. The analyses showed that the factor structure of the NSS remained generally stable and that the ability of the NSS to discriminate between different subjects at different universities actually improved over the ten-year sample period. The best predictors of overall satisfaction were 'Teaching Quality' and 'Organisation & Management', with 'Assessment & Feedback' having relatively weak predictive ability, despite the sector's tangible efforts to improve on this metric. The tripling of student fees in 2012 for English students (but not the rest of the UK) was used as a ‘natural experiment’ to investigate the sensitivity of student satisfaction ratings to the real economic costs of HE. The tuition fee increase had no identifiable negative effect, with student satisfaction steadily improving throughout the decade. Although the NSS was never designed to measure perceived value-for money, its insensitivity to major changes in the economic costs of HE to the individual suggest that the conventional concept of student satisfaction is incomplete. As such we propose that the concept of student satisfaction: (i) needs to be widened to take into account the broader economic benefits to the individual student by including measures of perceived value-for-money and (ii) should measure students’ level of satisfaction in the years post-graduation, by which time they may have a greater appreciation of the value of their degree in the workplace

Trust and the Governance of Higher Education: The Introduction of Chancellor System in Hungarian Higher Education

Trust plays a vital role in the cooperation of social actors. While researching trust becomes important in public management, the impact of trust on higher education policy and management has drawn less attention. This chapter analyses the introduction of the chancellor system in Hungarian higher education from the perspective of trust. In this new governance model, chancellors, who are appointed by the government, became responsible for the administration and budgets of higher institutions (HEIs), while rectors kept their prerogatives only on academic issues. The success of an institution now depends on the cooperation of its two interdependent leaders. Trust plays an especially critical role in such leadership constellation. The study is based on empirical data collected through two surveys conducted in 2015 and 2016 among academic leaders of Hungarian higher education institutions and uses Hurley’s decision-to-trust-model (Hurley 2012) as an analytic framework

The evolution of the student as a customer in Australian higher education: a policy perspective

In 2014, the Australian Federal Government attempted to de-regulate higher education fees so as to allow universities to set their own tuition fees. The associated public debate offer critical insights into how the identity of a student as a ‘customer’ of higher education is understood and deployed when developing higher education policy. This paper uses the 2014 Australian higher education reforms as a lens through which to further scholarly research into the student-as-customer metaphor and to see how it is influenced by the perceptions and understandings of policy actors external to the higher education sector. These include politicians, special interest groups, the students and their parents and prospective employers. This study reveals that the public/private nexus—both of funding and benefit— problematizes traditional conceptualisations of students and others as higher education customers. In turn, this restricts the ability or desire of policy actors to describe how the student functions as a customer as a consequence of market reform. This inability compromises the development of effective and sustainable higher education polic

The new political economy of higher education: between distributional conflicts and discursive stratification

The higher education sector has been undergoing a far-reaching institutional re-orientation during the past two decades. Many adjustments appear to have strengthened the role of competition in the governance of higher education, but the character of the sector?s emerging new political economy has frequently remained unclear. Serving as the introduction for the special issue, this article makes the case for a multidimensional strategy to probe higher education?s competitive transformation. In terms of conceptualizing the major empirical shifts, we argue for analyzing three core phenomena: varieties of academic capitalism, the discursive construction of inequality, and the transformation of hierarchies in competitive settings. With respect to theoretical tools, we emphasize the complementary contributions of institutional, class-oriented, and discourse analytical approaches. As this introduction elaborates and the contributions to the special issue demonstrate, critical dialog among different analytical traditions over the interpretation of change is crucial for improving established understandings. Arguably, it is essential for clarifying the respective roles of capitalist power and hierarchical rule in the construction of the sector?s new order

A model of management academics' intentions to influence values

Business schools face increased criticism for failing in the teaching of management studies to nurture their students’ values. Assuming that individual academics play an important role in shaping the value-related influence of business schools, I model management academics’ intentions to influence values. The suggested model encompasses academics’ economic and social values as internal variables, as well as perceived support for attempting to influence values and academic tenure as social and structural variables. A test with empirical data from 1,254 management academics worldwide reveals that perceived external support is most relevant for explaining intentions. Moreover, academics’ social values, but not their economic ones, contribute to an explanation of their intentions to influence values. The results reveal how important it is for academics to believe that their colleagues, higher education institutions, and other stakeholders support their value-related behavioral intentions