Interactive anatomical and surgical live stream lectures improve students' academic performance in applied clinical anatomy

Tuebingen's Sectio Chirurgica (TSC) is an innovative, interactive, multimedia, and transdisciplinary teaching method designed to complement dissection courses. The Tuebingen's Sectio Chirurgica (TSC) allows clinical anatomy to be taught via interactive live stream surgeries moderated by an anatomist. This method aims to provide an application‐oriented approach to teaching anatomy that offers students a deeper learning experience. A cohort study was devised to determine whether students who participated in the TSC were better able to solve clinical application questions than students who did not participate. A total of 365 students participated in the dissection course during the winter term of the 2012/2013 academic year. The final examination contained 40 standard multiple‐choice (S‐MC) and 20 clinically‐applied multiple‐choice (CA‐MC) items. The CA‐MC items referred to clinical cases but could be answered solely using anatomical knowledge. Students who regularly participated in the TSC answered the CA‐MC questions significantly better than the control group (75% and 65%, respectively; P < 0.05, Mann‐Whitney U test). The groups exhibited no differences on the S‐MC questions (85% and 82.5%, respectively; P > 0.05). The CA‐MC questions had a slightly higher level of difficulty than the S‐MC questions (0.725 and 0.801, respectively; P = 0.083). The discriminatory power of the items was comparable (S‐MC median Pearson correlations: 0.321; CA‐MC: 0.283). The TSC successfully teaches the clinical application of anatomical knowledge. Students who attended the TSC in addition to the dissection course were able to answer CA‐MC questions significantly better than students who did not attend the TSC. Thus, attending the TSC in addition to the dissection course supported students' clinical learning goals. Anat Sci Educ 10: 46–52. © 2016 American Association of Anatomists.     

Which variables predict teachers diagnostic competence when diagnosing students’ learning behavior at different stages of a teacher’s career?

Diagnosing is one of teachers’ key competences. Lately, a new model of teachers’ diagnostic competence and therewith a new measurement method focusing on diagnosing students’ learning behavior in an interdisciplinary approach have been developed. They can build a basis for promoting teachers’ diagnostic competence. However, some questions relevant to promoting teachers’ diagnostic competence concerning students’ learning behavior still remain unanswered: Which values do teachers-on-the-job in contrast to preservice teachers with or without teaching experience gain through experience and which are the relevant variables that lead to a high level of diagnostic competence focused on learning behavior? Thus, this study aims at enlightening these issues. In a sample of 293 participants (93 German grammar school teachers, 107 German teacher students in their second phase of teacher education, and 93 German preservice students in their first phase of teacher education), teachers’ diagnostic competence concerning learning behavior as well as teachers’ motivation, attitude, self-efficacy, knowledge, and reflection on experience concerning diagnosing was measured. Motivation, attitude, and knowledge were found to be substantial positive predictors of diagnostic competence concerning learning behavior, with differentiated predictions for teachers’ experience. Reflection on experience and self-efficacy unexpectedly was not found to be relevant. Teachers-on-the-job were generally better at diagnosing their students’ learning behavior than were preservice teachers without teaching experience. However, the diagnostic work of preservice teachers with teaching experience was as credible as that of the in-service teachers.     

The effect of positive reappraisal on the availability of self-control resources and self-regulated learning*

Effectively regulating negative emotions is important for successful self-regulated learning. However, research has hardly examined which emotion regulation strategies benefit self-regulated learning. In an experimental study, it was examined whether positive reappraisal facilitates self-regulated learning by counterbalancing the depletion of self-control resources. Sixty-one university students engaged in either positive reappraisal or expressive suppression to regulate negative emotions induced by a film clip and then worked on a self-regulated learning task. Participants who engaged in positive reappraisal experienced more positive emotions after the film and had more self-control resources available than participants who used expressive suppression. Moreover, positive reappraisal increased skin conductance during emotion regulation, as compared to expressive suppression. Irrespective of emotion regulation type, positive emotions predicted post-film availability of self-control resources which was positively associated with subsequent self-regulated learning. The results demonstrate beneficial affective and resource-related consequences of positive reappraisal as well as its potential for fostering self-regulated learning.     

Advancing Research and Measurement on Fathering and Children's Development

Fathers are more than social accidents. Research has demonstrated that fathers matter to children's development. Despite noted progress, challenges remain on how best to conceptualize and assess fathering and father–child relationships. The current monograph is the result of an SRCD-sponsored meeting of fatherhood scholars brought together to discuss these challenges and make recommendations for best practices for incorporating fathers in studies on parenting and children's development. The first aim of this monograph was to provide a brief update on the current state of research on fathering and to lay out a developmental ecological systems perspective as a conceptual framework for understanding the different spaces fathers inhabit in their children's lives. Because there is wide variability in fathers’ roles, the ecological systems perspective situates fathers, mothers, children, and other caregivers within an evolving network of interrelated social relationships in which children and their parents change over time and space (e.g., residence). The second aim was to present examples of empirical studies conducted by members of the international working group that highlighted different methods, data collection, and statistical analyses used to capture the variability in father–child relationships. The monograph ends with a commentary that elaborates on the ecological systems framework with a discussion of the broader macrosystem and social-contextual influences that impinge on fathers and their children. The collection of articles contributes to research on father–child relationships by advancing theory and presenting varied methods and analysis strategies that assist in understanding the father–child relationship and its impact on child development.     

Global undernutrition during gestation influences learning during adult life

Intrauterine growth restriction can lead to significant long-term health consequences such as metabolic and cardiovascular disorders, but less is known about its effects on choice and behavioral adaptation in later life. Virgin Wistar rats were time mated and randomly assigned to receive either ad-libitum access to chow or 30% of that level of nutrition during pregnancy to generate growth-restricted offspring. At 60 days of age, 6 female offspring from each group were trained on concurrent variable-interval schedules. Sessions consisted of seven randomly arranged concurrent-schedule components, each with a different reinforcer ratio that varied from 27:1 to 1:27, and each component lasting for 10 reinforcer deliveries. Behavioral change across reinforcers in components, measured by sensitivity to reinforcement, was consistently lower for offspring of undernourished mothers, showing that their behavior was less adaptable to environmental change. These results provide direct experimental evidence for a link between prenatal environmental conditions and reduced behavioral adaptability--learning--in later life.     

Self-monitoring of self-regulation during math homework behaviour using standardized diaries

This study aims at enhancing math learning and general self-regulation by supporting daily self-regulated learning during math homework. The authors use standardized diaries as a self-monitoring tool to support self-regulatory behaviour. Following the theory of self-monitoring, frequent selfmonitoring of self-regulation will lead to an enhancement of self-regulated learning. Complete data stem from a sample of 195 8th grade students. 95 students from the experimental group answer questions in diaries for a period of 49 days and participate in the pre-post measurement whereas the control group only works on the pre- and posttests. The diary consists of questions regarding main components of self-regulation. The time-series analyses of the diary variables show a positive linear trend for self-regulation. The results of the analyses of variance for the pre-post experimental-control group comparison yielded time by group interactions for self-regulation and the math test.     

Targeted cell detection based on microchannel gating

Currently, microbiological techniques such as culture enrichment and various plating techniques are used for detection of pathogens. These expensive and time consuming methods can take several days. Described below is the design, fabrication, and testing of a rapid and inexpensive sensor, involving the use of microelectrodes in a microchannel, which can be used to detect single bacterial cells electrically (label-free format) in real time. As a proof of principle, we have successfully demonstrated real-time detection of target yeast cells by measuring instantaneous changes in ionic impedance. We have also demonstrated the selectivity of our sensors in responding to target cells while remaining irresponsive to nontarget cells. Using this technique, it can be possible to multiplex an array of these sensors onto a chip and probe a complex mixture for various types of bacterial cells.     

Investigating professed and enacted epistemic beliefs about the uncertainty of scientific knowledge when students evaluate scientific controversies

Prior research on epistemic beliefs, that is, individuals’ views about knowledge and knowing, has mainly focused either on individuals’ professed beliefs (as reported in questionnaires) or on their enacted beliefs (as indicated during task processing). However, little is known about the relation between professed and enacted epistemic beliefs. The present study focused on beliefs about the uncertainty of scientific knowledge and investigated both professed and enacted beliefs in the context of evaluations of scientific controversies. Participants were N = 79 university students who first completed a questionnaire that targeted their professed uncertainty beliefs about scientific knowledge. Then, approximately 1 week later, they completed a standardized test in which they evaluated five scientific controversies. Cued retrospective verbal reports were used to measure their enacted uncertainty beliefs while taking the test. Results revealed that professed and enacted uncertainty beliefs were interrelated and that both variables predicted individuals’ performance with regard to the evaluation of scientific controversies. Furthermore, the effect of professed uncertainty beliefs on controversy-evaluation performance was partly mediated by enacted uncertainty beliefs. The findings of the present study point toward novel theoretical insights and educational implications regarding the relations between professed and enacted beliefs about the uncertainty of scientific knowledge and their role in individuals’ evaluation of scientific controversies.

     

AutoFocus – Ein Werkzeugprototyp zur Entwicklung eingebetteter Systeme

Zusammenfassung.   Der Beitrag stellt AutoFocus vor, einen Werkzeugprototyp zur Entwicklung verteilter, eingebetteter Systeme auf der Grundlage formaler Techniken. AutoFocus unterstützt die Systementwicklung mit integrierten, im wesentlichen graphischen Beschreibungstechniken, mit deren Hilfe sowohl unterschiedliche Sichten als auch verschiedene Abstraktionsebenen eines Systems beschrieben werden. Um konsistente und vollst?ndige Beschreibungen sicherzustellen, bietet AutoFocus die M?glichkeit, Konsistenzbedingungen zu formulieren und Systembeschreibungen daraufhin zu überprüfen. Aus ausführbaren Spezifikationen k?nnen Prototypen des entwickelten Systems erzeugt werden und in einer Simulationsumgebung ausgeführt und visualisiert werden. Zur formalen Verifikation von Systemeigenschaften verfügt AutoFocusüber Anbindungen an Modellprüfungswerkzeuge wie -cke oder SMV. Eingegangen am 23. Dezember 1998 / Angenommen am 16. Juni 1999     

Lernen mit Kernen Support-Vektor-Methoden zur Analyse hochdimensionaler Daten

Dieser Beitrag erl?utert neue Ans?tze und Ergebnisse der statistischen Lerntheorie. Nach einer Einleitung wird zun?chst das Lernen aus Beispielen vorgestellt und erkl?rt, dass neben dem Erkl?ren der Trainingdaten die Komplexit?t von Lernmaschinen wesentlich für den Lernerfolg ist. Weiterhin werden Kern-Algorithmen in Merkmalsr?umen eingeführt, die eine elegante und effiziente Methode darstellen, verschiedene Lernmaschinen mit kontrollierbarer Komplexit?t durch Kernfunktionen zu realisieren. Beispiele für solche Algorithmen sind Support-Vektor-Maschinen (SVM), die Kernfunktionen zur Sch?tzung von Funktionen verwenden, oder Kern-PCA (principal component analysis), die Kernfunktionen zur Extraktion von nichtlinearen Merkmalen aus Datens?tzen verwendet. Viel wichtiger als jedes einzelne Beispiel ist jedoch die Einsicht, dass jeder Algorithmus, der sich anhand von Skalarprodukten formulieren l?sst, durch Verwendung von Kernfunktionen nichtlinear verallgemeinert werden kann. Die Signifikanz der Kernalgorithmen soll durch einen kurzen Abriss einiger industrieller und akademischer Anwendungen unterstrichen werden. Hier konnten wir Rekordergebnisse auf wichtigen praktisch relevanten Benchmarks erzielen.