The integration of curriculum and assessment in interpreter education

In dieser interdisziplinären, translationswissenschaftlichen Studie wird die Integration von Curriculum und Evaluierung in der Dolmetscherausbildung theoretisch fundiert und im Rahmen einer Fallstudie empirisch untersucht. Dolmetschkompetenz wird als ein durch zweckgerechte und messgenaue (valid and reliable) Bewertungsmethoden dokumentiertes Ergebnis der Curriculumanwendung betrachtet. Definitionen, Grundlagen, Ansätze, Ausbildungs- und Lernziele werden anhand der Curriculumtheorie und Dolmetschwissenschaft beschrieben. Traditionelle und alternative Evaluierungsmethoden werden hinsichtlich ihrer Anwendbarkeit in der Dolmetscherausbildung erprobt. In der Fallstudie werden die Prüfungsergebnisse zweier Master-Studiengänge-MA Konferenzdolmetschen und MA Dolmetschen und Übersetzen-quantitativ analysiert. Die zur Dokumentation der Prüfungsergebnisse eingesetzte Bewertungsmethodik wird qualitativ untersucht und zur quantitativen Analyse in Bezug gesetzt. Die Fallstudie besteht aus 1) einer chi-square-Analyse der Abschlussprüfungsnoten getrennt nach Sprachkombination und Prüfungskategorie (n=260), 2) einer Umfrage unter den Jurymitgliedern hinsichtlich der Evaluierungsansätze, -verfahren, und -kriterien (n = 45; 62.22% Rücklaufrate); und 3) einer Analyse des ausgangssprachlichen Prüfungsmaterials ebenfalls nach Sprachkombination und Prüfungskategorie. Es wird nachgewiesen, dass Studierende im MA Dolmetschen und Übersetzen tendenziell schlechtere Prüfungsleistungen erbringen als Studierende im MA Konferenzdolmetschen. Die Analyseergebnisse werden jedoch als aussageschwach betrachtet aufgrund mangelnder Evaluierungsvalidität. Schritte zur Curriculum- und Evaluierungsoptimierung sowie ein effizienteres Curriculummodell werden aus den theoretischen Ansätzen abgeleitet. Auf die Rolle der Ethik in der Evaluierungsmethodik wird hingewiesen.

Reliability and consistency affect the integration of visual depth cues

Abstract Originalsprache (englisch) Visual perception relies on a two-dimensional projection of the viewed scene on the retinas of both eyes. Thus, visual depth has to be reconstructed from a number of different cues that are subsequently integrated to obtain robust depth percepts. Existing models of sensory integration are mainly based on the reliabilities of individual cues and disregard potential cue interactions. In the current study, an extended Bayesian model is proposed that takes into account both cue reliability and consistency. Four experiments were carried out to test this model's predictions. Observers had to judge visual displays of hemi-cylinders with an elliptical cross section, which were constructed to allow for an orthogonal variation of several competing depth cues. In Experiment 1 and 2, observers estimated the cylinder's depth as defined by shading, texture, and motion gradients. The degree of consistency among these cues was systematically varied. It turned out that the extended Bayesian model provided a better fit to the empirical data compared to the traditional model which disregards covariations among cues. To circumvent the potentially problematic assessment of single-cue reliabilities, Experiment 3 used a multiple-observation task, which allowed for estimating perceptual weights from multiple-cue stimuli. Using the same multiple-observation task, the integration of stereoscopic disparity, shading, and texture gradients was examined in Experiment 4. It turned out that less reliable cues were downweighted in the combined percept. Moreover, a specific influence of cue consistency was revealed. Shading and disparity seemed to be processed interactively while other cue combinations could be well described by additive integration rules. These results suggest that cue combination in visual depth perception is highly flexible and depends on single-cue properties as well as on interrelations among cues. The extension of the traditional cue combination model is defended in terms of the necessity for robust perception in ecologically valid environments and the current findings are discussed in the light of emerging computational theories and neuroscientific approaches.

Membrane properties and synaptic integration of identified neuronal populations in the developing rodent neocortex

In my PhD work I concentrated on three elementary questions that are essential to understand the interactions between the different neuronal cell populations in the developing neocortex. The questions regarded the identity of Cajal-Retzius (CR) cells, the ubiquitous expression of glycine receptors in all major cell populations of the immature neocortex, and the role of taurine in the modulation of immature neocortical network activity.rnTo unravel whether CR cells of different ontogenetic origin have divergent functions I investigated the electrophysiological properties of YFP+ (derived from the septum and borders of the pallium) and YFP− CR cells (derived from other neocortical origins). This study demonstrated that the passive and active electrophysiological properties as well as features of GABAergic PSCs and glutamatergic currents are similar between both CR cell populations. These findings suggest that CR cells of different origins most probably support similar functions within the neuronal networks of the early postnatal cerebral cortex.rnTo elucidate whether glycine receptors are expressed in all major cell populations of the developing neocortex I analyzed the functional expression of glycine receptors on subplate (SP) cells. Activation of glycine receptors by glycine, -alanine and taurine elicited membrane responses that could be blocked by the selective glycinergic antagonist strychnine. Pharmacological experiments suggest that SP cells express functional heteromeric glycine receptors that do not contain 1 subunits. The activation of glycine receptors by glycine and taurine induced a membrane depolarization, which mediated excitatory effects. Considering the key role of SP cells in immature cortical networks and the development of thalamocortical connections, this glycinergic excitation may influence the properties of early cortical networks and the formation of cortical circuits.rnIn the third part of my project I demonstrated that tonic taurine application induced a massive increase in the frequency of PSCs. Based on their reversal potential and their pharmacological properties these taurine-induced PSCs are exclusively transmitted via GABAA receptors to the pyramidal neurons, while both GABAA and glycine receptors were implicated in the generation of the presynaptic activity. Accordingly, whole-cell and cell-attached recordings from genetically labeled interneurons revealed the expression of glycine and GABAA receptors, which mediated an excitatory action on these cells. These findings suggest that low taurine concentrations can tonically activate exclusively GABAergic networks. The activity level maintained by this GABAergic activity in the immature nervous system may contribute to network properties and can facilitate the activity dependent formation of adequate synaptic projections.rnIn summary, the results of my studies complemented the knowledge about neuronal interactions in the immature neocortex and improve our understanding of cellular processes that guide neuronal development and thus shape the brain.rn