Student experiences of peer review marking of team projects

Peer review of students is a partial response to critics of group work who cite drawbacks of "free riders" and de-motivation. It is often used to motivate and focus students on their own development within a group work setting. Pressures of time, budget and student numbers often obviate deeper study of alternative assessment techniques. The study reported in this paper, made possible by an HEA grant, allowed for analysis of a peer review mechanism that had been operating for a number of years alongside a new web-based system. The paper reviews criticisms of peer review techniques in existing literature and outlines how student experiences of peer review were researched. Qualitative outcomes are discussed alongside an analysis of quantitative data from the systems used. Key conclusions from this research are that the data collection method made no significant difference to the reported student experiences of peer review or to the peer review marks. The findings update and strengthen previous literature and provide important new insights into the emotional perspective of students. The findings from this research are being used to aid development of the webbased system and to establish 'good practice' guidance on the deployment of this valuable and innovative technique

Trends in Practical Student Peer-review

While much of the literature on student peer-review focusses on the success (or otherwise) of individual activities in specific classes (often implemented as part of scholarly research projects) there is little by way of published data giving an overview of the range and variety of such activities as used in practice. As the creators, administrators and maintainers of the Aropa Peer review tool, we have unique access to meta-information about peer-review assessments conducted in classes in institutions across the world, together with the variety of class sizes, subjects, rubric design etc. We reported on some of the key assessment configuration data in a 2018 publication covering a period of eight years; here we provide an update on this data, five years later, with particular comment on trends, academic discipline coverage and the possible effect of online delivery during the COVID-19 pandemic.Comment: 10 page

Multi-disciplinary peer-mark moderation of group work

Self and peer assessment offers benefits for enhancing student learning. Peer moderation provides a convenient solution for awarding individual marks in group assignments. This paper provides a significant review of peer-mark moderation, and describes an award winning, web-based tool that was developed in the UK and is now spreading across the world as an open-source web application. It is available for use in any discipline. Qualitative research, at the home institution over several years, reinforces the evaluation of quantitative data extracted from the system and from an extensive user survey to confirm, update and strengthen the previous literature. The research also describes new insights into the thoughts of students, who appear to recognise the transparency that automated moderation offers. The statistics suggest few incidences of team-collusion when entering data, but indicate that peer-marking behaviour is influenced by group size, selection method and year of study. Students comment positively on the recognition of their levels of achievement within a team

Multi-disciplinary Peer-mark Moderation of Group Work

This is an Open Access Article. It is published by Sciedu Press under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/Self and peer assessment offers benefits for enhancing student learning. Peer moderation provides a convenient solution for awarding individual marks in group assignments. This paper provides a significant review of peer-mark moderation, and describes an award winning, web-based tool that was developed in the UK and is now spreading across the world as an open-source web application. It is available for use in any discipline. Qualitative research, at the home institution over several years, reinforces the evaluation of quantitative data extracted from the system and from an extensive user survey to confirm, update and strengthen the previous literature. The research also describes new insights into the thoughts of students, who appear to recognise the transparency that automated moderation offers. The statistics suggest few incidences of team-collusion when entering data, but indicate that peer-marking behaviour is influenced by group size, selection method and year of study. Students comment positively on the recognition of their levels of achievement within a team

The evidence base for interprofessional education within health professions education: A protocol for an update review

Interprofessional education (IPE) interventions aiming to promote collaborative competence and improve the delivery of health and social care processes and outcomes continue to evolve. This paper reports on a protocol for an update review that we will conduct to identify and describe how the IPE evidence base has evolved in the last 7 years. We will identify literature through a systematic search of the following electronic databases: Medline, Embase, CINAHL, Education Source, ERIC, and BEI. We will consider all IPE interventions delivered to health professions students and accredited professionals. Peer-reviewed empirical research studies published in any language from June 2014 onwards will be eligible for inclusion. The outcomes of interest are changes in the reaction, attitudes/perceptions, knowledge/skills acquisition, behaviors, organizational practice, and/or benefits to patients. We will perform each task of screening, critical appraisal, data abstraction, and synthesis using at least two members of the review team. The review will enable an update and comprehensive understanding of the IPE evidence base to inform future IPE developments, delivery and evaluation across education and clinical setting

2017 Scientific Consensus Statement: land use impacts on the Great Barrier Reef water quality and ecosystem condition. Chapter 4: management options and their effectiveness

This chapter seeks to answer the following questions: 1. What are the values of the Great Barrier Reef? 2. How effective are better agricultural practices in improving water quality? 3. How can we improve the uptake of better agricultural practices? 4. What water quality improvement can non-agricultural land uses contribute? 5. How can Great Barrier Reef water quality improvement programs be improved? Each section summarises the currently available peer reviewed literature and comments on implications for management and research gaps. This chapter has a wider scope than previous Scientific Consensus Statements, including, for the first time, the social and governance dimensions of management and the management of non-agricultural land uses. These new sections are constrained by a lack of Great Barrier Reef–specific data and information. The relevance of information from other locations must be carefully considered. In comparison, the agricultural practice change and economics sections provide an update on material compiled as part of the 2013 Scientific Consensus Statement. This report has been confined to peer reviewed literature, which is generally published in books and journals or major reports. There is additional evidence in grey literature, such as project and program reports, that has not been included here. Each section of this chapter has been compiled by a writing team and then revised following a series of review processes

Do three years make a difference? An updated review and analysis of self-initiated expatriation

Self-initiated expatriates (SIEs) were initially described by Inkson et al. (J World Bus 32: 351-368, 1997) as individuals who move abroad on their own volition, with personal funding, oriented towards development and career goals. After almost two decades of research, it is imperative to review the knowledge that has been developed and identify future areas of intervention. Doherty (Int J Manag Rev 15: 447-469, 2013. doi: 10.1111/ijmr.12005) initiated the review and this paper aims to update it and explore some unapproached aspects. Five different data bases were targeted and searched for peer-reviewed articles published in English, between 1997 and 2014, which recognized self-initiated expatriation as a distinguished form of mobility and used this terminology in the title and/or keywords list. A total of 94 articles met these inclusion criteria, 45 of which were published between 2012 and 2014. By systematically analyzing them, it was observed a surpassing growth in the number of published articles in the last 3 years. This signalizes an increase of the academic interest in studying the SIEs all over the world, involving bidirectional moves between developed and developing countries. The constructs identified by Doherty (2013) at the three different levels (micro, meso and macro) continued to be explored, using qualitative or quantitative approaches. Besides this, a multi-informant approach has been adopted in some studies, while others focused on concept clarification, taking into consideration some of Doherty's (2013) suggestions for future research. Three years of research made an enormous contribution to the development of knowledge about SIEs, but some aspects can be further explored; hence they are identified and thoroughly discussed.info:eu-repo/semantics/publishedVersio

Identifying adults with acute rhinosinusitis in primary care that benefit most from antibiotics : protocol of an individual patient data meta-analysis using multivariable risk prediction modelling

Introduction Acute rhinosinusitis (ARS) is a prime reason for doctor visits and among the conditions with highest antibiotic overprescribing rates in adults. To reduce inappropriate prescribing, we aim to predict the absolute benefit of antibiotic treatment for individual adult patients with ARS by applying multivariable risk prediction methods to individual patient data (IPD) of multiple randomised placebo-controlled trials. Methods and analysis This is an update and re-analysis of a 2008 IPD meta-analysis on antibiotics for adults with clinically diagnosed ARS. First, the reference list of the 2018 Cochrane review on antibiotics for ARS will be reviewed for relevant studies published since 2008. Next, the systematic searches of CENTRAL, MEDLINE and Embase of the Cochrane review will be updated to 1 September 2020. Methodological quality of eligible studies will be assessed using the Cochrane Risk of Bias 2 tool. The primary outcome is cure at 8-15 days. Regression-based methods will be used to model the risk of being cured based on relevant predictors and treatment, while accounting for clustering. Such model allows for risk predictions as a function of treatment and individual patient characteristics and hence gives insight into individualised absolute benefit. Candidate predictors will be based on literature, clinical reasoning and availability. Calibration and discrimination will be evaluated to assess model performance. Resampling techniques will be used to assess internal validation. In addition, internal-external cross-validation procedures will be used to inform on between-study differences and estimate out-of-sample model performance. Secondarily, we will study possible heterogeneity of treatment effect as a function of outcome risk. Ethics and dissemination In this study, no identifiable patient data will be used. As such, the Medical Research Involving Humans Subject Act (WMO) does not apply and official ethical approval is not required. Results will be submitted for publication in international peer-reviewed journals. PROSPERO registration number CRD42020220108.Peer reviewe

Predictive physiological anticipatory activity preceding seemingly unpredictable stimuli: An update of Mossbridge et al\u2019s meta-analysis

Background: This is an update of the Mossbridge et al\u2019s meta-analysis related to the physiological anticipation preceding seemingly unpredictable stimuli which overall effect size was 0.21; 95% Confidence Intervals: 0.13 - 0.29 Methods: Nineteen new peer and non-peer reviewed studies completed from January 2008 to June 2018 were retrieved describing a total of 27 experiments and 36 associated effect sizes. Results: The overall weighted effect size, estimated with a frequentist multilevel random model, was: 0.28; 95% Confidence Intervals: 0.18-0.38; the overall weighted effect size, estimated with a multilevel Bayesian model, was: 0.28; 95% Credible Intervals: 0.18-0.38. The weighted mean estimate of the effect size of peer reviewed studies was higher than that of non-peer reviewed studies, but with overlapped confidence intervals: Peer reviewed: 0.36; 95% Confidence Intervals: 0.26-0.47; Non-Peer reviewed: 0.22; 95% Confidence Intervals: 0.05-0.39. Similarly, the weighted mean estimate of the effect size of Preregistered studies was higher than that of Non-Preregistered studies: Preregistered: 0.31; 95% Confidence Intervals: 0.18-0.45; No-Preregistered: 0.24; 95% Confidence Intervals: 0.08-0.41. The statistical estimation of the publication bias by using the Copas selection model suggest that the main findings are not contaminated by publication bias. Conclusions: In summary, with this update, the main findings reported in Mossbridge et al\u2019s meta-analysis, are confirmed

A fast strong coupling algorithm for the partitioned fluid–structure interaction simulation of BMHVs

The numerical simulation of Bileaflet Mechanical Heart Valves (BMHVs) has gained strong interest in the last years, as a design and optimisation tool. In this paper, a strong coupling algorithm for the partitioned fluidstructure interaction simulation of a BMHV is presented. The convergence of the coupling iterations between the flow solver and the leaflet motion solver is accelerated by using the Jacobian with the derivatives of the pressure and viscous moments acting on the leaflets with respect to the leaflet accelerations. This Jacobian is numerically calculated from the coupling iterations. An error analysis is done to derive a criterion for the selection of useable coupling iterations. The algorithm is successfully tested for two 3D cases of a BMHV and a comparison is made with existing coupling schemes. It is observed that the developed coupling scheme outperforms these existing schemes in needed coupling iterations per time step and CPU time