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van Heerden, Martina; Bharuthram, Sharita – Assessment & Evaluation in Higher Education, 2021
Anonymity has been suggested as a way to mitigate the possible negative effects of interpersonal variables that may arise during the peer review process. However, since anonymity is not always possible, it is important to consider how the level of familiarity between peers may influence the peer review process. This study therefore explores the…
Descriptors: Feedback (Response), Familiarity, Peer Evaluation, Writing Evaluation
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Sou, Elvo K. L.; Yuen, Mantak; Chen, Gaowei – British Journal of Guidance & Counselling, 2022
Approximately one-third of countries in the world are regarded as small states. There are also subnational jurisdictions, or small territories, that share similar characteristics of small states. Their small size renders them vulnerable to changes in the global economy, and this, in turn, has an impact on trade, business, and employment. In this…
Descriptors: Career Development, Career Counseling, Economic Climate, Global Approach
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Perryman, Jane – International Journal of Qualitative Studies in Education (QSE), 2011
This paper outlines the methodological issues I faced during my research as a "returning native" in an English secondary school. The empirical research took the form of a three-year case study and used some ethnographic methods, as it comprised interviews carried out over a period of three academic years in the school in which I was once…
Descriptors: Educational Research, Research Methodology, Secondary Schools, Urban Schools
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Brennan, David J. – Higher Education Research and Development, 2008
This paper provides an overview of the issue of student anonymity in the summative assessment of student work in higher education. It considers both theoretical literature pertaining to bias in the evaluation of the work of others and the limited empirical work undertaken on this issue in higher education. It then describes the experience of three…
Descriptors: Higher Education, Student Evaluation, Interrater Reliability, Test Bias