Exploring scientific,artistic, moral and technical reflection in teacher action research

Reflection in action research is a complicated matter because of the many domains of reflection and most significantly, the lack of understanding of these domains of reflection in action research and how these are supported. In this paper, we propose a framework based on four domains of reflection, namely, scientific, artistic, moral and technical reflection. We describe an initial attempt to use this framework in relation to the actual practice of teacher reflection in action research and show that the framework allowed us to map the various domains of reflection that teachers use in relation to their action research. This helped us to gain insight into the differences and the course of reflection in action research. We discuss how the framework – through orientation, differentiation and deepening – might provide support for reflection in action research.     

Population density and special needs education

This paper contains an analysis of the relation between the percentages of segregated pupils in 15 countries and the population density in those countries. It shows that there is a substantial correlation between these two variables, pointing to the influence of factors such as population density on the integrationsegregation continuum. Findings suggest that the availability of services, travel distances and associated factors are of utmost importance for inclusive education.     

Does integration count for much? An analysis of the practices of integration in eight countries

ABSTRACT

This article focuses on the state of the art of integration in eight western countries: Italy, Denmark, Sweden, United States, Germany, England, Belgium and the Netherlands. Both qualitative and quantitative information on integration practices is given, and from these findings general conclusions on similarities and differences in integration efforts and results are discussed. The differences in the incidence of special needs students in eight countries are mainly to be explained by the differences in registration procedures to enter special facilities in regular or special education. Despite these differences it seems that in all countries involved at least 1.5 per cent of all students is difficult to integrate in regular education settings.     

Two New Statistics to Detect Answer Copying

Two new indices to detect answer copying on a multiple-choice test—S₁ and S₂—were proposed. The S₁ index is similar to the K index (Holland, 1996) and the K₂ index (Sotaridona & Meijer, 2002) but the distribution of the number of matching incorrect answers of the source and the copier is modeled by the Poisson distribution instead of the binomial distribution to improve the detection rate of K and K₂. The S₂ index was proposed to overcome a limitation of the K and K₂ index, namely, their insensitiveness to correct answers copying. The S₂ index incorporates the matching correct answers in addition to the matching incorrect answers. A simulation study was conducted to investigate the usefulness of S₁ and S₂ for 40- and 80-item tests, 100 and 500 sample sizes, and 10%, 20%, 30%, and 40% answer copying. The Type I errors and detection rates of S₁ and S₂ were compared with those of the K₂ and the ω copying index (Wollack, 1997). Results showed that all four indices were able to maintain their Type I errors, with S₁ and K₂ being slightly conservative compared to S₂ and ω. Furthermore, S₁ had higher detection rates than K₂. The S₂ index showed a significant improvement in detection rate compared to K and K₂.     

Screening the active constituents of Chinese medicinal herbs as potent inhibitors of Cdc25 tyrosine phosphatase, an activator of the mitosis-inducing p34cdc2 kinase

Objective: To screen and evaluate the active constituents of Chinese medicinal herbs as potent inhibitors of Cdc25 phosphatase. Methods: The affinity chromatography purified glutashione-S-transferase/Cdc25A phosphatase fusion protein and Cdc2/cyclin B from the extracts of starfish M phase oocytes are used as the cell cycle-specific targets for screening the antimitotic constituents. We tested 9 extracts isolated from the Chinese medicinal herbs and vegetables including the agents currently used in cancer treatment by measuring the inhibition of Cdc25A phosphatase and Cdc2 kinase activity. The antitumor activity of the extracts was also evaluated by MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay and flow cytometry. Results: Cdc25A inhibitory activity and antitumor activity are detected in the extracts isolated from three Chinese medicinal herbs Agrimona pilosa; Herba solani lyrati; Galla chinesis. Conclusion: We found three extracts isolated from Chinese medicinal herbs have potential inhibitory activity of Cdc25 phosphatase using a highly specific mechanism-based screen assay for antimitotic drug discovery.     

Effects of a Pre‐service Teacher Preparation Programme on Effective Instruction

A quasi‐experimental, treatment‐control group investigation was designed to test the effects of a pre‐service training course on effective instruction. Research findings from teacher effects research and cognitive strategy instruction were translated into two direct instructional models: one model for explicit or well‐structured skills and one model for implicit skills or higher‐level thinking strategies. Following a course on effective instruction from their teacher educators, student teachers implemented standardised lessons to apply selected research‐derived teaching behaviours and to increase pupil engagement rates. Based on trained observers’ pre‐and post‐training classroom observations, a significant treatment effect was found for student teachers’ teaching behaviours regarding effective instruction and for pupil engagement rates. Ratings from supervising teachers also showed that the student teachers who participated in the course on effective instruction used the recommended instructional skills after completion of the course significantly better than prior to the course.     

Publishing public performance results on the Internet: Do stakeholders use the Internet to hold Dutch public service organizations to account?

This paper analyzes the relation between publishing public performance results on the Internet, stakeholder accountability, and the effectiveness and legitimacy of Dutch public service organizations. The empirical research focuses on Web sites with performance results of schools and hospitals. These results are published on the Internet by ‘third parties’ (government organizations, associations of public service organizations, and newspapers). Publications of performance results stimulate schools and hospitals to score better on performance indicators because they feel the ‘public eyes’ on them. However, the risk of a ‘performance paradox’ and adverse effects is great since strategic behavior may lead to higher scores but not improve the effectiveness of these organizations. The research provides moderate support for negative effects on the legitimacy of schools and hospitals which may be attributed to the sole use of the Internet as a medium for access to information and negligence of its communicative potential.     

Selection procedures in sports: Improving predictions of athletes’ future performance

The selection of athletes has been a central topic in sports sciences for decades. Yet, little consideration has been given to the theoretical underpinnings and predictive validity of the procedures. In this paper, we evaluate current selection procedures in sports given what we know from the selection psychology literature. We contrast the popular clinical method (predictions based on overall impressions of experts) with the actuarial approach (predictions based on pre-defined decision rules), and we discuss why the latter approach often leads to superior performance predictions. Furthermore, we discuss the “signs” and the “samples” approaches. Taking the prevailing signs approach, athletes’ technical-, tactical-, physical-, and psychological skills are often assessed separately in controlled settings. However, for predicting later sport performance, taking samples of athletes’ behaviours in their sports environment may result in more valid assessments. We discuss the possible advantages and implications of making selection procedures in sports more actuarial and sample-based.     

Accountability in an information age: Opportunities and risks for records management

Electronic records of government organizations are becoming increasingly important for accountability. Managing electronic records, however, proves to be difficult since information and communication technologies confront organizations with various opportunities and risks. In this paper the findings of an international expert survey on electronic records management are presented. These findings identify opportunities and risks for e-mail systems, database management systems, office systems, web technology systems and smart systems. They also point to five crucial questions that must be addressed in order to guarantee the availability of electronic records for accountability.     

Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making?

Big data promises to transform public decision-making for the better by making it more responsive to actual needs and policy effects. However, much recent work on big data in public decision-making assumes a rational view of decision-making, which has been much criticized in the public administration debate. In this paper, we apply this view, and a more political one, to the context of big data and offer a qualitative study. We question the impact of big data on decision-making, realizing that big data – including its new methods and functions – must inevitably encounter existing political and managerial institutions. By studying two illustrative cases of big data use processes, we explore how these two worlds meet. Specifically, we look at the interaction between data analysts and decision makers. In this we distinguish between a rational view and a political view, and between an information logic and a decision logic. We find that big data provides ample opportunities for both analysts and decision makers to do a better job, but this doesn't necessarily imply better decision-making, because big data also provides opportunities for actors to pursue their own interests. Big data enables both data analysts and decision makers to act as autonomous agents rather than as links in a functional chain. Therefore, big data's impact cannot be interpreted only in terms of its functional promise; it must also be acknowledged as a phenomenon set to impact our policymaking institutions, including their legitimacy.