The overall effects of end-of-course assessment on student performance: A comparison between multiple choice testing, peer assessment, case-based assessment and portfolio assessment

This study investigates the effect of method of assessment on student performance. Five research conditions go together with one of four assessment modes, namely: portfolio, case-based, peer assessment, and multiple choice evaluation. Data collection is done by means of a pre-test/ post-test-design with the help of two standardised tests (N=816). Results show that assessment method does make a difference: assessments do not produce overall effects on student performance. Moreover, student-activating instruction efforts do not automatically result in more extensive learning gains. Finally, test results show, when compared to other assessments, a statistically significant positive effect of the multiple choice test on students' test scores. However, students' preparation level and the closed book format of the tests might serve explanatory purposes.     

Globalization and the freedom of knowledge

This article considers the transmission of knowledge in higher education. It takes the metaphor of the music industry that pre‐selects the music people can buy. The sales potential is the leading principle in the selection process. Often the small producer is excluded because his or her music is not of commercial interest. The end‐customer does not know what he or she is missing because he or she has never heard the music. It is to be feared that a similar market principle will also influence the selection of knowledge and affect the capacity of higher education institutions to freely generate and transmit new knowledge. The globalization of higher education risks homogenizing the cultural traditions of the non‐Western world through a process of Western cultural domination. On the other hand, the Internet, via open source software like LINUX, might serve to democratize higher education and allow greater grassroots input.     

The cooking teacher: investigating gender stereotypes in a Korean kindergarten

This article discusses some findings from a small‐scale investigation of children's gendered beliefs and behaviours in a Korean kindergarten which was attempting to challenge gender stereotyping through the anti‐bias intervention of a ‘cooking curriculum’. A sample of 14 children, some with ‘working’ mothers and some with ‘housewife’ mothers, was observed for two months, and informally interviewed on several occasions. The children's mothers were also interviewed. The findings are situated in the context of the changing, but still traditional, culture of Korean society, as well as in the contexts of early childhood education and theories of gender acquisition. They confirm that, although children are highly likely to reproduce the beliefs current in their home environment, they are open to reconstructing these views when actively challenged to consider alternatives, either by the school curriculum or by engaging in debate with a researcher or practitioner. The nature of the ‘alternative’ views available may however be problematic.     

Mental toughness and transitions to high school and to undergraduate study

Mental toughness can be conceptualised as a set of attributes that allow people to deal effectively with challenges, stressors and pressure. Recent work has suggested that it may be a valuable construct to consider within educational settings. The current studies explored the associations between mental toughness and educational transitions. Study 1 examined the relationships between mental toughness and concerns about moving to a new school in 105 children aged 12–13 years of age. The results revealed significant relationships between several aspects of mental toughness, but particularly confidence in abilities, and children’s concerns. Study 2 examined the relationships between mental toughness and adjustment to university in 200 undergraduate students at various stages of their course. The results revealed a role for several aspects of mental toughness; commitment, control of life, control of emotion, confidence in abilities and interpersonal confidence. The results are discussed in terms of implications for educational practice. It is suggested that measures of mental toughness could be used to identify individuals who may benefit from additional support during transition to a new school or to university, and that future research should explore the potential benefits of mental toughness training.     

Factors affecting journal submission numbers: Impact factor and peer review reputation

Previous research has found that researchers rank journal reputation and impact factor (IF) amongst the key selection criteria when choosing where to submit. We explored the actual effect upon submission numbers of several possible factors. We retrieved 10 years of submission data from over a thousand journals, as well as data on IF, retractions, and other factors. We performed statistical analysis and identified correlations. We also undertook case study research on the 55 most significant submission decreases. We found a statistically significant correlation between changes in IF, ISI percentage ranking, and changes in submissions numbers in subsequent years. We also found a statistically significant effect on submission numbers in the year following the publication of a retraction. Our case studies identified other factors, including negative feedback on the peer review process. Our findings regarding IF confirm previous indications about the significance of IF on submissions. We explain the correlation with retractions through the concept of ‘peer review reputation’. These results indicate that editors and publishers need to focus on a journal's peer review practices, as well as a journal's IF, if they are to maintain and grow submissions.     

Extending WHIRL with background knowledge for improved text classification

Intelligent use of the many diverse forms of data available on the Internet requires new tools for managing and manipulating heterogeneous forms of information. This paper uses WHIRL, an extension of relational databases that can manipulate textual data using statistical similarity measures developed by the information retrieval community. We show that although WHIRL is designed for more general similarity-based reasoning tasks, it is competitive with mature systems designed explicitly for inductive classification. In particular, WHIRL is well suited for combining different sources of knowledge in the classification process. We show on a diverse set of tasks that the use of appropriate sets of unlabeled background knowledge often decreases error rates, particularly if the number of examples or the size of the strings in the training set is small. This is especially useful when labeling text is a labor-intensive job and when there is a large amount of information available about a particular problem on the World Wide Web.