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The purpose of this paper is to demonstrate a process of faculty utilization of learning analytics by evaluating students’ course objective achievement results to enable student reflection, student remediation and faculty curriculum evaluation.

Upon the completion of a backward curriculum design process, the authors utilized learning analytics to improve advising, student reflection, remediation and curriculum evaluation. The learning management system incorporated the learning analytics tool to assist the learning analytics process. The course faculty, student advisors and students utilized the learning analytics throughout the academic year.

Unlike relying merely on student grades and other proxy indicators of learning, the learning analytics tool provided immediate and direct data to multiple stakeholders for advising, student reflection, student remediation and course curriculum evaluation. The authors believe it was a meaningful endeavor. It enabled meaningful conversations focusing on course learning objectives and provided detailed information on each student. The learning analytics tool also provided detailed information regarding which areas faculty needed to improve in the curriculum.

Most of the literature on learning analytics present the cases that administrators utilized learning analytics to make higher level decisions and researchers to explore the factors involved in learning. This paper provides cases to faculty regarding how learning analytics can benefit the faculty and the students.

De‐institutionalisation and resettlement have had a significant impact on offenders with learning disabilities (LD) who are now more visible in the wider community than before. Perhaps because of the challenges presented by people who were previously contained in institutions, there has been a growth of interest in their characteristics, the services and clinical interventions required to support them.This narrative review presents and discusses recent developments concerning offenders with LD. It looks at the historical association between crime and low intelligence, and then examines the evidence concerning the prevalence of offending by people with LD and recidivism rates. Recent research concerning service pathways for this population is summarised and progress in the development of actuarial, dynamic and clinical assessments of the future risk of offending is outlined.The second half of the paper focuses on a review of the evidence for and recent developments in the treatment of offending behaviour (anger/aggression, sexual offending and fire‐setting), utilising broadly cognitive behaviourally‐based approaches. Finally, future directions for research and practice innovation are proposed.

Recent literature on nonprofit boards of directors has extensively investigated the composition, role, responsibilities, and characteristics of boards. Given the growing number of studies on nonprofit boards, which added new impulse to the debate on the role and characteristics of these players, it is time to analyze the state of the art and systematize the current knowledge. On the other hand, despite the presence of some literature reviews, a research comparing the debate among the nonprofit, private, and public sectors is still lacking. Using Gabrielsson and Huse’s (2004) framework, we wanted to identify factors that can influence research on nonprofit boards and compare our results with existing studies on private and public sector.

We conduct a systematic literature review, selecting empirical articles published in international scientific journals from 1992 to 2012.

We found similarities and differences in relation to research on boards among sectors. As a common result, we found that evolutionary studies still remains a neglected area in all of three realms. Finally, whereas input–output studies prevail in the private sector and contingency studies prevail in the public sector, behavioral studies prevail in the nonprofit sector, demonstrating, also, that the sector itself can make a difference in the board’s research.

This literature review provides some suggestion for further research on boards for all of three sectors. For example, we suggest complementing research on boards on all three sectors, especially in relation to evolutionary studies.

This paper fills the need to clarify the status of research on nonprofit boards, in order to address scholars in the understanding of the phenomenon.

To compare the contrasting approaches of car manufacturers as they compete for market share and revenues.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Global car manufacturers have their own ways of succeeding over their competitors, and have their own contrasting views of such matters as market share over revenue. Toyota has been an undoubted success story, not least for its production methods and achievements of reliability. Other companies have tried to follow Toyota's example but still not matched its efficiency.

Application of individual responsibility for quality control, and the process of continuous improvement, which has been pioneered by Toyota, could be adapted to other manufacturing processes. Similarly, Chrysler's decision to outsource a major part of the production responsibility for a new vehicle, with backing from its employees’ union, could be applied to other industries.

Statistical inference (estimation and testing) for the stochastic volatility (SV) model Taylor (1982, 1986) is challenging, especially likelihood-based methods which are difficult to apply due to the presence of latent variables. The existing methods are either computationally costly and/or inefficient. In this paper, we propose computationally simple estimators for the SV model, which are at the same time highly efficient. The proposed class of estimators uses a small number of moment equations derived from an ARMA representation associated with the SV model, along with the possibility of using “winsorization” to improve stability and efficiency. We call these ARMA-SV estimators. Closed-form expressions for ARMA-SV estimators are obtained, and no numerical optimization procedure or choice of initial parameter values is required. The asymptotic distributional theory of the proposed estimators is studied. Due to their computational simplicity, the ARMA-SV estimators allow one to make reliable – even exact – simulation-based inference, through the application of Monte Carlo (MC) test or bootstrap methods. We compare them in a simulation experiment with a wide array of alternative estimation methods, in terms of bias, root mean square error and computation time. In addition to confirming the enormous computational advantage of the proposed estimators, the results show that ARMA-SV estimators match (or exceed) alternative estimators in terms of precision, including the widely used Bayesian estimator. The proposed methods are applied to daily observations on the returns for three major stock prices (Coca-Cola, Walmart, Ford) and the S&P Composite Price Index (2000–2017). The results confirm the presence of stochastic volatility with strong persistence.

This review aims to focus on men who access, download, and circulate child abuse images across the internet as the most frequently occurring type of internet sex offender.

Some of the misconceptions associated with this behaviour are outlined and the extent to which internet offenders display some of the criminogenic factors thought to be associated with the multi‐factorial theories of sexual offending are reviewed.

One conclusion from this is paper is the general impression that internet offenders show many of the characteristics of paedophiles. Their theoretical importance is that they appear to be “desisters” from acting out their sexual interest in children by hands‐on offending.

It is argued that there is a need for more research to stimulate our understanding of this type of offender. Furthermore, what of those who both download material and offend directly against children? They present a dilemma for the literature as some research would suggest that they are not entirely like the internet or the contact sexual offenders in their psychological make‐up; they are the group most in need of reappraisal.

Prior learning and prior knowledge are among the most dependable and consistent factors in predicting students’ success (Richardson et al., 2012). Although for UK Higher Education, the traditional A-level (advanced level qualification) remains the principal qualification students use to gain entry to University, there has been a small but significant rise in alternative qualifications, such as the International Baccalaureate (IB) and vocational qualifications such as that from the Business and Technology Education Council (BTEC). The multidisciplinary nature of Psychology means students enter the degree program with a range of qualifications in differing topic areas. The current case study aimed to assess if science qualifications aided student success in the University of Liverpool’s Psychology course. Ordinal regression and correlations were used to examine the impact of prior qualifications on three first-year cohort module scores (Psychobiology, Social psychology, and Research Methods) and the overall degree mark across three cohorts of Psychology students (n = 1,072). University entry grades showed a significant overall and subject specific effect of scientific prior knowledge. However, the effects of previous qualifications were not cumulative and did not persist beyond the first year of study. These findings were strongest for Chemistry in the Psychobiology module suggesting that scientific literacy – the understanding of scientific concepts, phenomena, and processes, as well as an individual’s ability to apply such knowledge to new or non-scientific situations (Schleicher, 2019) – rather than domain-specific knowledge is driving such increase in grades. A negative relationship was seen for those holding BTEC qualifications, suggesting that vocational qualifications, specifically for this Psychology program, were of less use than academic ones, even if topic areas were similar – a finding which may also apply to other academic based courses, and warrants further study. Although the advantage of prior qualifications diminishes across the course of study, this small but distinct advantage suggests that making a science qualification a requirement for a place on a Psychology degree course would be a beneficial step for admissions tutors to consider.

The growing importance of ‘lived practices’ in entrepreneurship-related studies has sought to pose several questions and challenges for researchers/scholars in the field (Ruona & Gilley, 2009; Short, Keefer, & Stone, 2009). The issue of how current entrepreneurship research practices can become more applied in nature provides the basis for articulating more clearly what we mean by research impact and why it has become a central concern in the research field (Beyer & Trice, 1982; Huggins et al., 2008; Rynes, 2007; Starkey & Tempest, 2005). This debate has drawn specific attention to the need for applied research in entrepreneurial scholarship, which is more reflective of lived practice. The need to reach a balance between practitioners and academics’ expectations in terms of delivering research which is focussed towards achieving academic rigour and application to practice, which is both meaningful and relatable, is significant for both communities (Ram, Edwards, Jones, Kiselinchev, & Muchenje, 2017). This chapter seeks to assist and inspire both existing and future researchers in the field to make more informed choices and offer tangible evidence of good practice, serving as a guide to researchers wishing to develop engaged research. The authors hope that the nature of this chapter would seek to clarify the importance of engaged research in supporting how we understand and respond to the needs of entrepreneurial practice as a means of building trust and confidence in research reported. A key characteristic of the issue will be the different ‘framing’ of questions that can enhance practical knowledge.

In recent years there has been a rash of text books and articles addressing the complex theme of organisational excellence. Successful organisations have come under the microscope as never before, and their structures, philosophies, strategies and leaders analysed to the point of near exhaustion. Corporate excellence has, it would appear, become the Holy Grail of contemporary management theory and practice.