Databases on Human Rights Education

International Review of Education -     

Effiziente Vertr?glichkeitsprüfung und automatische Migration von Workflow-Instanzen bei der Evolution von Workflow-Schemata

Zusammenfassung.   Sollen Workflow-Management-Systeme (WfMS) in umfassender Weise für die rechnerbasierte Verwaltung und Steuerung von Gesch?ftsprozessen einsetzbar sein, müssen die von ihnen verwalteten Workflow-Schemata und -Instanzen bei Bedarf rasch anpassbar sein. Dabei müssen die auf Basis eines (alten) Workflow-Schemas erzeugten Instanzen auch nach dessen ?nderung ungest?rt weiterlaufen k?nnen, etwa durch Bereitstellung geeigneter Versionskonzepte. Sehr viel schwieriger wird es, wenn die angewandten Schema?nderungen – wo gewünscht und m?glich – auch auf die bereits (vielleicht in gro?er Zahl) laufenden Workflow-Instanzen übertragen werden sollen. Dies bei Bedarf zu k?nnen – und zwar ohne Inkonsistenzen oder Fehler zu verursachen – ist aber ungemein wichtig, wenn ein WfMS breit und flexibel einsetzbar sein soll. In diesem Beitrag wird ein Ansatz zur effizienten Prüfung der Vertr?glichkeit von Workflow-Instanzen mit einem ge?nderten Workflow-Schema vorgestellt. Durch Einbeziehung aller Beschreibungskonstrukte (z.B. auch Schleifen und Datenflüsse) und damit zusammenh?ngender Fragestellungen wird darüber hinaus zum ersten Mal die Grundlage für ein umfassendes ?nderungsmanagement geschaffen. Au?erdem wird aufgezeigt, wie der Benutzer bei der Migration vertr?glicher Instanzen auf das neue Schema konkret unterstützt werden kann. ID="*" Diese Arbeit wurde im Rahmen des Projekts „?nderungsmanagement in adaptiven Workflow-Management-Systemen” der Deutschen Forschungsgemeinschaft (DFG) erstellt.     

On the relationships between bibliographic characteristics of scientific documents and citation and Mendeley readership counts: A large-scale analysis of Web of Science publications

In this paper we present a first large-scale analysis of the relationship between Mendeley readership and citation counts with particular documents’ bibliographic characteristics. A data set of 1.3 million publications from different fields published in journals covered by the Web of Science (WoS) has been analyzed. This work reveals that document types that are often excluded from citation analysis due to their lower citation values, like editorial materials, letters, news items, or meeting abstracts, are strongly covered and saved in Mendeley, suggesting that Mendeley readership can reliably inform the analysis of these document types. Findings show that collaborative papers are frequently saved in Mendeley, which is similar to what is observed for citations. The relationship between readership and the length of titles and number of pages, however, is weaker than for the same relationship observed for citations. The analysis of different disciplines also points to different patterns in the relationship between several document characteristics, readership, and citation counts. Overall, results highlight that although disciplinary differences exist, readership counts are related to similar bibliographic characteristics as those related to citation counts, reinforcing the idea that Mendeley readership and citations capture a similar concept of impact, although they cannot be considered as equivalent indicators.     

Will you be my friend? A multilevel network analysis of friendships of students with and without special educational needs backgrounds in inclusive classrooms

The objective of this study was to determine the relationship between having a special educational needs background (SEN) and the likelihood of having friends in inclusive classes. We assumed that a combination of individual, dyadic and contextual variables can sufficiently explain the relation between a SEN diagnosis and the likelihood of friendship. Data analysis was based on a cross-sectional sample of students (N = 1241) in second and third grade primary-school classes. To address the different levels adequately, the present study improves upon previous research in two ways: First, the sociometric data were analyzed with the p2 model, a specialized multilevel network model. Second, the study focused solely on friendships and emphasized the concept’s unique features with respect to inclusive education. Data analysis indicated that students with SEN had a decreased probability of becoming friends with their classmates compared to students without SEN. Even when individual, dyadic, and contextual variables were included into the model, the association between a SEN diagnosis and the likelihood of friendship persisted. The implications of the results are discussed with respect to their implications for inclusive teaching practice.     

Nonparametric Evidence of Validity,Reliability, and Fairness for Rater‐Mediated Assessments: An Illustration Using Mokken Scale Analysis

Numerous researchers have proposed methods for evaluating the quality of rater‐mediated assessments using nonparametric methods (e.g., kappa coefficients) and parametric methods (e.g., the many‐facet Rasch model). Generally speaking, popular nonparametric methods for evaluating rating quality are not based on a particular measurement theory. On the other hand, popular parametric methods for evaluating rating quality are often based on measurement theories such as invariant measurement. However, these methods are based on assumptions and transformations that may not be appropriate for ordinal ratings. In this study, I show how researchers can use Mokken scale analysis (MSA), which is a nonparametric approach to item response theory, to evaluate rating quality within the framework of invariant measurement without the use of potentially inappropriate parametric techniques. I use an illustrative analysis of data from a rater‐mediated writing assessment to demonstrate how one can use numeric and graphical indicators from MSA to gather evidence of validity, reliability, and fairness. The results from the analyses suggest that MSA provides a useful framework within which to evaluate rater‐mediated assessments for evidence of validity, reliability, and fairness that can supplement existing popular methods for evaluating ratings.     

Examining Differential Rater Functioning Using a Between‐Subgroup Outfit Approach

When practitioners use modern measurement models to evaluate rating quality, they commonly examine rater fit statistics that summarize how well each rater's ratings fit the expectations of the measurement model. Essentially, this approach involves examining the unexpected ratings that each misfitting rater assigned (i.e., carrying out analyses of standardized residuals). One can create plots of the standardized residuals, isolating those that resulted from raters’ ratings of particular subgroups. Practitioners can then examine the plots to identify raters who did not maintain a uniform level of severity when they assessed various subgroups (i.e., exhibited evidence of differential rater functioning). In this study, we analyzed simulated and real data to explore the utility of this between‐subgroup fit approach. We used standardized between‐subgroup outfit statistics to identify misfitting raters and the corresponding plots of their standardized residuals to determine whether there were any identifiable patterns in each rater's misfitting ratings related to subgroups.     

Exploring the Effects of Rater Linking Designs and Rater Fit on Achievement Estimates Within the Context of Music Performance Assessments

When good model-data fit is observed, the Many-Facet Rasch (MFR) model acts as a linking and equating model that can be used to estimate student achievement, item difficulties, and rater severity on the same linear continuum. Given sufficient connectivity among the facets, the MFR model provides estimates of student achievement that are equated to control for differences in rater severity. Although several different linking designs are used in practice to establish connectivity, the implications of design differences have not been fully explored. Research is also limited related to the impact of model-data fit on the quality of MFR model-based adjustments for rater severity. This study explores the effects of linking designs and model-data fit for raters on the interpretation of student achievement estimates within the context of performance assessments in music. Results indicate that performances cannot be effectively adjusted for rater effects when inadequate linking or model-data fit is present.     

Exploring the Influence of Judge Proficiency on Standard‐Setting Judgments

Setting performance standards is a judgmental process involving human opinions and values as well as technical and empirical considerations. Although all cut score decisions are by nature somewhat arbitrary, they should not be capricious. Judges selected for standard‐setting panels should have the proper qualifications to make the judgments asked of them; however, even qualified judges vary in expertise and in some cases, such as highly specialized areas or when members of the public are involved, it may be difficult to ensure that each member of a standard‐setting panel has the requisite expertise to make qualified judgments. Given the subjective nature of these types of judgments, and that a large part of the validity argument for an exam lies in the robustness of its passing standard, an examination of the influence of judge proficiency on the judgments is warranted. This study explores the use of the many‐facet Rasch model as a method for adjusting modified Angoff standard‐setting ratings based on judges’ proficiency levels. The results suggest differences in the severity and quality of standard‐setting judgments across levels of judge proficiency, such that judges who answered easy items incorrectly tended to perceive them as easier, but those who answered correctly tended to provide ratings within normal stochastic limits.     

The Transition from School to University in Mathematics: Which Influence Do School-Related Variables Have?

Particularly in mathematics, the transition from school to university often appears to be a substantial hurdle in the individual learning biography. Differences between the characters of school mathematics and scientific university mathematics as well as different demands related to the learning cultures in both institutions are discussed as possible reasons for this phenomenon. If these assumptions hold, the transition from school to university could not be considered as a continuous mathematical learning path because it would require a realignment of students’ learning strategies. In particular, students could no longer rely on the effective use of school-related individual resources like knowledge, interest, or self-concept. Accordingly, students would face strong challenges in mathematical learning processes at the beginning of their mathematics study at university. In this contribution, we examine these assumptions by investigating the role of individual mathematical learning prerequisites of 182 first-semester university students majoring in mathematics. In line with the assumptions, our results indicate only a marginal influence of school-related mathematical resources on the study success of the first semester. In contrast, specific precursory knowledge related to scientific mathematics and students’ abilities to develop adequate learning strategies turn out as main factors for a successful transition phase. Implications for the educational practice will be discussed.     

Climbing Bloom's taxonomy pyramid: Lessons from a graduate histology course

Bloom's taxonomy was adopted to create a subject‐specific scoring tool for histology multiple‐choice questions (MCQs). This Bloom's Taxonomy Histology Tool (BTHT) was used to analyze teacher‐ and student‐generated quiz and examination questions from a graduate level histology course. Multiple‐choice questions using histological images were generally assigned a higher BTHT level than simple text questions. The type of microscopy technique (light or electron microscopy) used for these image‐based questions did not result in any significant differences in their Bloom's taxonomy scores. The BTHT levels for teacher‐generated MCQs correlated positively with higher discrimination indices and inversely with the percent of students answering these questions correctly (difficulty index), suggesting that higher‐level Bloom's taxonomy questions differentiate well between higher‐ and lower‐performing students. When examining BTHT scores for MCQs that were written by students in a Multiple‐Choice Item Development Assignment (MCIDA) there was no significant correlation between these scores and the students' ability to answer teacher‐generated MCQs. This suggests that the ability to answer histology MCQs relies on a different skill set than the aptitude to construct higher‐level Bloom's taxonomy questions. However, students significantly improved their average BTHT scores from the midterm to the final MCIDA task, which indicates that practice, experience and feedback increased their MCQ writing proficiency. Anat Sci Educ 10: 456–464. © 2017 American Association of Anatomists.