Creativity,Complexity and Self‐similarity: The Vision of the Fractal University

Creativity and communication processes in engineering education have become more and more necessary in highly complex structures such as technological networks and ‘virtual’ reality. These issues also include an educational challenge for university: all education for the future has to be based on experiencing reality. A new socio‐technical approach describes the engineering profession in all aspects beside technology, such as tasks, views, organizational structures or cooperation. Therefore, university and higher education have to change into self‐similar structures to support the learning of complexity in real life. The experiences of the Department of Computer Science in Mechanical Engineering at the University of Technology in Aachen, as a socio‐technical, self‐similar and creative system, show such learning processes of students (and staff) in undergraduate education, research and organizational structures.     

Biological Principles and Threshold Concepts for Understanding Natural Selection

Modern evolutionary theory is both a central theory and an integrative framework of the life sciences. This is reflected in the common references to evolution in modern science education curricula and contexts. In fact, evolution is a core idea that is supposed to support biology learning by facilitating the organization of relevant knowledge. In addition, evolution can function as a pivotal link between concepts and highlight similarities in the complexity of biological concepts. However, empirical studies in many countries have for decades identified deficiencies in students’ scientific understanding of evolution mainly focusing on natural selection. Clearly, there are major obstacles to learning natural selection, and we argue that to overcome them, it is essential to address explicitly the general abstract concepts that underlie the biological processes, e.g., randomness or probability. Hence, we propose a two-dimensional framework for analyzing and structuring teaching of natural selection. The first—purely biological—dimension embraces the three main principles variation, heredity, and selection structured in nine key concepts that form the core idea of natural selection. The second dimension encompasses four so-called thresholds, i.e., general abstract and/or non-perceptual concepts: randomness, probability, spatial scales, and temporal scales. We claim that both of these dimensions must be continuously considered, in tandem, when teaching evolution in order to allow development of a meaningful understanding of the process. Further, we suggest that making the thresholds tangible with the aid of appropriate kinds of visualizations will facilitate grasping of the threshold concepts, and thus, help learners to overcome the difficulties in understanding the central theory of life.     

Globalisierung im Hochschulwesen — ein Abschied von etablierten Werten der Internationalisierung?

Gibt es Anzeichen dafür, dass der Trend zum grenzübergreifenden Angebot von Hochschulbildung und zur Gründung hochschulischer Au?enstellen im Ausland die auf gegenseitigem Verst?ndnis und Vertrauen beruhende internationale Hochschulkooperation obsolet macht und sie durch einen internationalen Hochschulwettbewerb ersetzt? Diese Frage wird aus empirisch-deskriptiver Perspektive behandelt. Die Autoren verstehen Globalisierung nicht als eine notwendigerweise mit einem bestimmten Wertesystem verknüpfte kausale Kraft hinter jüngeren Entwicklungstrends, sondern als ein zun?chst lediglich beschreibendes Konzept, dessen Diskussion die sorgf?ltige Analyse der ihm zugrunde liegenden empirischen Prozesse voraussetzt. Unter dieser Grundannahme werten sie erste vorliegende Studien zur Struktur und Ausbreitung der Transnational Education aus und erg?nzen sie um eine Analyse aktueller Entwicklungen hinsichtlich Studienimport und-export in Deutschland. Zudem werden überblicksartig die Implikationen des internationalen Dienstleistungsabkommens GATS für das Hochschulwesen er?rtert. Auf diese Weise kann eine Reihe von Bezügen zwischen etablierten Werten der Internationalisierung und globalisierungstypischen Ph?nomenen im Hochschulwesen ausgemacht werden.     

Evaluation of the appropriate time period between sampling and analyzing for automated urinalysis

Introduction

Preanalytical specifications for urinalysis must be strictly adhered to avoid false interpretations. Aim of the present study is to examine whether the preanalytical factor ‘time point of analysis’ significantly influences stability of urine samples for urine particle and dipstick analysis.

Materials and methods

In 321 pathological spontaneous urine samples, urine dipstick (Urisys™2400, Combur-10-Test™strips, Roche Diagnostics, Mannheim, Germany) and particle analysis (UF-1000 i™, Sysmex, Norderstedt, Germany) were performed within 90 min, 120 min and 240 min after urine collection.

Results

For urine particle analysis, a significant increase in conductivity (120 vs. 90 min: P < 0.001, 240 vs. 90 min: P < 0.001) and a significant decrease in WBC (120 vs. 90 min P < 0.001, 240 vs. 90 min P < 0.001), RBC (120 vs. 90 min P < 0.001, 240 vs. 90 min P < 0.001), casts (120 vs. 90 min P < 0.001, 240 vs. 90 min P < 0.001) and epithelial cells (120 vs. 90 min P = 0.610, 240 vs. 90 min P = 0.041) were found. There were no significant changes for bacteria. Regarding urine dipstick analysis, misclassification rates between measurements were significant for pH (120 vs. 90 min P < 0.001, 240 vs. 90 min P < 0.001), leukocytes (120 vs. 90 min P < 0.001, 240 vs. 90 min P < 0.001), nitrite (120 vs. 90 min P < 0.001, 240 vs. 90 min P < 0.001), protein (120 vs. 90 min P < 0.001, 240 vs. 90 min P<0.001), ketone (120 vs. 90 min P < 0.001, 240 vs. 90 min P < 0.001), blood (120 vs. 90 min P < 0.001, 240 vs. 90 min P < 0.001), specific gravity (120 vs. 90 min P < 0.001, 240 vs. 90 min P < 0.001) and urobilinogen (120 vs. 90 min, P = 0.031). Misclassification rates were not significant for glucose and bilirubin.

Conclusion

Most parameters critically depend on the time window between sampling and analysis. Our study stresses the importance of adherence to early time points in urinalysis (within 90 min).Key words: urinalysis, automation, analytical sample preparation methods, flow cytometry, specimen handling     

In Infants' Hands: Identification of Preverbal Infants at Risk for Primary Language Delay

Early identification of primary language delay is crucial to implement effective prevention programs. Available screening instruments are based on parents' reports and have only insufficient predictive validity. This study employed observational measures of preverbal infants' gestural communication to test its predictive validity for identifying later language delays. Pointing behavior of fifty‐nine 12‐month‐old infants was analyzed and related to their language skills 1 year later. Results confirm predictive validity of preverbal communication for language skills with the hand shape of pointing being superior compared to the underlying motives for pointing (imperative vs. declarative). Twelve‐month‐olds who pointed only with their open hand but never with their index finger were at risk for primary language delay at 2 years of age.     

Word length and word frequency affect eye movements in dyslexic children reading in a regular (German) orthography

We combined independently the word length and word frequency to examine if the difficulty of reading material affects eye movements in readers of German, which has high orthographic regularity, comparing the outcome with previous findings available in other languages. Sixteen carefully selected German-speaking dyslexic children (mean age, 9.5 years) and 16 age-matched controls read aloud four lists, each comprising ten unrelated words. The lists varied orthogonally in word length and word frequency: high-frequency, short; high-frequency, long; low-frequency, short; low-frequency, long. Eye movements were measured using a scanning laser ophthalmoscope (SLO). In dyslexic children, fixation durations and the number of saccades increased both with word length and word frequency. The percentage of regressions was only increased for low-frequency words. Most of these effects were qualitatively similar in the two groups, but stronger in dyslexic children, pointing to a deficient higher-level word processing, especially phonological deficit. The results indicate that reading eye movements in German children are modulated by the degree of difficulty, and orthographic regularity of the language can determine the nature of modulation. The findings suggest that, similar to Italian but unlike English readers, German children prefer indirect sub-lexical strategy of grapheme-phoneme conversion.     

Modellierung von Lehrerkompetenzen

This contribution will investigate both the subject-specific and the didactic competencies of trainee teachers for lower secondary education in mathematics on the basis of the study “Mathematics Teaching in the 21st Century (MT21)”, which compares criteria-based samples from Germany, Bulgaria, South Korea, Taiwan, Mexico and the USA. In order to analyze their strengths and weaknesses more precisely, the paper considers both traditional IRT-scaling of competencies, which involves a simple loading of test performance in mathematics and didactics of mathematics, and an alternative. Under the assumption that solving items concerning didactics of mathematics requires competencies in didactics of mathematics and mathematics itself, a double-barreled approach was used in the alternative. In a further elaboration of this model, knowledge of arithmetic, algebra, functions, geometry and stochastic was used as a set of further explanatory factors for solving the items. This third model, which presumes a hierarchical structure of teaching competencies, displays the best data fit. Only this model reflects the specialisms and focal points of the education and training systems in the countries participating in MT21 concerning the relative learning opportunities in mathematics and didactics of mathematics and concerning the five subject areas in the field of mathematics.     

Content-Related Knowledge of Biology Teachers from Secondary Schools: Structure and learning opportunities

Teachers’ content-related knowledge is a key factor influencing the learning progress of students. Different models of content-related knowledge have been proposed by educational researchers; most of them take into account three categories: content knowledge, pedagogical content knowledge, and curricular knowledge. As there is no consensus about the empirical separability (i.e. empirical structure) of content-related knowledge yet, a total of 134 biology teachers from secondary schools completed three tests which were to capture each of the three categories of content-related knowledge. The empirical structure of content-related knowledge was analyzed by Rasch analysis, which suggests content-related knowledge to be composed of (1) content knowledge, (2) pedagogical content knowledge, and (3) curricular knowledge. Pedagogical content knowledge and curricular knowledge are highly related (r_latent?=?.70). The latent correlations between content knowledge and pedagogical content knowledge (r_latent?=?.48)—and curricular knowledge, respectively (r_latent?=?.35)—are moderate to low (all ps?<?.001). Beyond the empirical structure of content-related knowledge, different learning opportunities for teachers were investigated with regard to their relationship to content knowledge, pedagogical content knowledge, and curricular knowledge acquisition. Our results show that an in-depth training in teacher education, professional development, and teacher self-study are positively related to particular categories of content-related knowledge. Furthermore, our results indicate that teaching experience is negatively related to curricular knowledge, compared to no significant relationship with content knowledge and pedagogical content knowledge.     

Digital Media and Education: cognitive impact of information visualization

In this article I argue that, like other technological innovations, the rise of the digital information age is contributing to shape people's mode of cognition. I review the use of computers in teaching and learning in terms of their impact on our ability to (1) process parallel data, (2) access information in a non‐linear order, and (3) visualize information. I analyse some implications for education stressing the importance of focusing on the meaning and interpretation of information rather than on gathering or memorizing data. In addition, I contend that although hypertextuality is perceived to be dynamic for its engagement with multiple dimensions, it is also a highly mediated form of accessing information. The most significant innovation of the computer, however, is the return to a visually based representation of reality. Paradoxically, the digital visualization of information aids the understanding of abstract concepts while simultaneously increasing conceptual abstraction.