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In this article, we address the measurement of individualized instruction in the context of regular classroom instruction. Our study assessed instructional practices geared towards individualization in German third grade reading lessons by combining self-report data from 621 students, from their teachers (n = 57), and live obser-vations. We then investigated the reliability of these different approaches to measuring individualization as well as the agreement between them. All three approaches yielded reliable indicators of individualized practices, but not all of them corresponded with each other. We found considerable agreement between students and observers, but neither agreed with teachers' self-reports. Upon closer examination, we found that students' ratings only correlated with teacher ratings that were provided close to the timepoint of interest. This correlation increased when teacher measures were corrected for response tendencies. We conclude with some recommendations for future studies that aim to measure individualized instruction in the classroom.
German secondary education is known for its early, strict selection of students into different schooling tracks based on prior academic performance, based on the assumption that students learn more efficiently when the learning environment is tailored to their individual abilities and needs. While much previous research has shown that entry into tracks is socially selective, less is known whether there are effects of being exposed to a particular school track on educational success and which mechanisms are contributing to these effects. We investigate this question by comparing the learning progress in reading and mathematics of students in the upper and intermediate schooling track over five years of secondary schooling, based on large-scale German-wide longitudinal data (NEPS-SC3). Even when restricting our sample to a group of students with similar preconditions and controlling for skills at the beginning of secondary schooling, we find that the learning progress in the upper track is higher for both domains, suggesting scissor effects of track exposure. It is mainly the average performance level of the class, and to a lesser degree its social background composition, which mediates these effects. In contrast, migration background composition of the class and instructional quality perceived by students hardly contribute to explaining increasing learning gains in the upper track.
The rapid digitalization of the Facility Management (FM) sector has increased the demand for mobile, interactive analytics approaches concerning the operational state of a building. These approaches provide the key to increasing stakeholder engagement associated with Operation and Maintenance (O&M) procedures of living and working areas, buildings, and other built environment spaces. We present a generic and fast approach to process and analyze given 3D point clouds of typical indoor office spaces to create corresponding up-to-date approximations of classified segments and object-based 3D models that can be used to analyze, record and highlight changes of spatial configurations. The approach is based on machine-learning methods used to classify the scanned 3D point cloud data using 2D images. This approach can be used to primarily track changes of objects over time for comparison, allowing for routine classification, and presentation of results used for decision making. We specifically focus on classification, segmentation, and reconstruction of multiple different object types in a 3D point-cloud scene. We present our current research and describe the implementation of these technologies as a web-based application using a services-oriented methodology.
Up to now pathological health anxiety has been classified primarily as a somatoform disorder or a somatic symptom disorder in ICD and DSM. Theoretical and empirical evidence, however, suggest that pathological health anxiety basically represents an anxiety disorder. In this paper, it is argued that deficits in the treatment and perception of patients with pathological health anxiety as "difficult patients" are partly attributable to a lack of clarity in terms of nosology and with respect to central mechanisms of etiology and pathogenesis. Based on novel theoretical approaches for the explanation of pathological health anxiety, suggestions for an improved therapeutic practice are outlined. This approach focuses on a more intensive use of exposure-based treatment elements that are oriented to the inhibitory learning approach, which has already proven its effectiveness for other anxiety disorders.
The business problem of having inefficient processes, imprecise process analyses, and simulations as well as non-transparent artificial neuronal network models can be overcome by an easy-to-use modeling concept. With the aim of developing a flexible and efficient approach to modeling, simulating, and optimizing processes, this paper proposes a flexible Concept of Neuronal Modeling (CoNM). The modeling concept, which is described by the modeling language designed and its mathematical formulation and is connected to a technical substantiation, is based on a collection of novel sub-artifacts. As these have been implemented as a computational model, the set of CoNM tools carries out novel kinds of Neuronal Process Modeling (NPM), Neuronal Process Simulations (NPS), and Neuronal Process Optimizations (NPO). The efficacy of the designed artifacts was demonstrated rigorously by means of six experiments and a simulator of real industrial production processes.
Between-individual differences in coping with stress encompass neurophysiological, cognitive and behavioural reactions. The coping style model proposes two alternative response patterns to challenges that integrate these types of reactions. The “proactive strategy” combines a general fight-or-flight response and inflexibility in learning with a relatively low HPA (hypothalamic–pituitary–adrenal) response. The “reactive strategy” includes risk aversion, flexibility in learning and an enhanced HPA response. Although numerous studies have investigated the possible covariance of cognitive, behavioural and physiological responses, findings are still mixed. In the present study, we tested the predictions of the coping style model in an unselected population of bank voles (Myodes glareolus) (N = 70). We measured the voles’ boldness, activity, speed and flexibility in learning and faecal corticosterone metabolite levels under three conditions (holding in indoor cages, in outdoor enclosures and during open field test). Individuals were moderately consistent in their HPA response across situations. Proactive voles had significantly lower corticosterone levels than reactive conspecifics in indoor and outdoor conditions. However, we could not find any co-variation between cognitive and behavioural traits and corticosterone levels in the open field test. Our results partially support the original coping style model but suggest a more complex relationship between cognitive, behavioural and endocrine responses than was initially proposed.
Octopamine is an important neurotransmitter in insects with multiple functions. Here, we investigated the role of this amine in a simple form of learning (habituation) in the fruit fly Drosophila melanogaster. Specifically, we asked if octopamine is necessary for normal habituation of a proboscis extension response (PER) to different sucrose concentrations. In addition, we analyzed the relationship between responsiveness to sucrose solutions applied to the tarsus and habituation of the proboscis extension response in the same individual. The Tyramine-beta-hydroxylase (T beta h) mutant lacks the enzyme catalyzing the final step of octopamine synthesis. This mutant was significantly less responsive to sucrose than controls. The reduced responsiveness directly led to faster habituation. Systemic application of octopamine or induction of octopamine synthesis by T beta h expression in a cluster of octopaminergic neurons within the suboesophageal ganglion restored sucrose responsiveness and habituation of octopamine mutants to control level. Further analyses imply that the reduced sucrose responsiveness of T beta h mutants is related to a lower sucrose preference, probably due to a changed carbohydrate metabolism, since T beta h mutants survived significantly longer under starved conditions. These findings suggest a pivotal role for octopamine in regulating sucrose responsiveness in fruit flies. Further, octopamine indirectly influences non-associative learning and possibly associative appetitive learning by regulating the evaluation of the sweet component of a sucrose reward. (C) 2014 Elsevier Ltd. All rights reserved.
Different systems for habitual versus goal-directed control are thought to underlie human decision-making. Working memory is known to shape these decision-making systems and
their interplay, and is known to support goal-directed decision making even under stress. Here, we investigated if and how decision systems are differentially influenced by breaks filled with diverse everyday life activities known to modulate working memory performance. We used a within-subject design where young adults listened to music and played a video game during breaks interleaved with trials of a sequential two-step Markov decision task, designed to assess habitual as well as goal-directed decision making. Based on a neurocomputational model of task performance, we observed that for individuals with a rather limited
working memory capacity video gaming as compared to music reduced reliance on the goal-directed decision-making system, while a rather large working memory capacity prevented such a decline. Our findings suggest differential effects of everyday activities on key decision-making processes.
Different systems for habitual versus goal-directed control are thought to underlie human decision-making. Working memory is known to shape these decision-making systems and
their interplay, and is known to support goal-directed decision making even under stress. Here, we investigated if and how decision systems are differentially influenced by breaks filled with diverse everyday life activities known to modulate working memory performance. We used a within-subject design where young adults listened to music and played a video game during breaks interleaved with trials of a sequential two-step Markov decision task, designed to assess habitual as well as goal-directed decision making. Based on a neurocomputational model of task performance, we observed that for individuals with a rather limited working memory capacity video gaming as compared to music reduced reliance on the goal-directed decision-making system, while a rather large working memory capacity prevented such a decline. Our findings suggest differential effects of everyday activities on key decision-making processes.
Lehre im Format der Forschung hat nicht nur das Potential zur Anknüpfung an das traditionelle Humboldt‘sche Ideal der Verschränkung von Forschung und Lernen und bietet damit eine Alternative zur vielfach beklagten „Verschulung“ der Bologna-Ära. Darüber hinaus unterstützt Lehre im Format der Forschung die Professionalisierung und fachspezifische Identitätsbildung der Studierenden. Der Beitrag ist in drei Abschnitte mit eigenen Fragestellungen unterteilt: Der erste Teil fragt nach einem grundlegenden Ziel der Hochschullehre und beschreibt dieses Ziel als wissenschaftsbasierte Professionalität, die zwingend Forschungskompetenz benötigt. Lehre im Format der Forschung wird als ein geeigneter Weg zu diesem Ziel beschrieben. Im zweiten Teil werden die Ähnlichkeiten und Unterschiede von Forschungs- und Lernprozessen herausgearbeitet, die als lerntheoretische Begründung für Lehre im Format der Forschung angesehen werden können. Abschließend werden unterschiedliche Typen einer Lehre im Format der Forschung vorgestellt – Typen, die sich hinsichtlich des intendierten Forschungsumfangs und des erforderlichen Aufwands unterscheiden.
Gedächtnishöchstleistungen sind auch im Alter möglich. Dies konnte am Beispiel der »Methode der Orte« experimentell bestätigt werden. Hierbei hat sich gezeigt, daß das Gehirn über große kognitive Kapazitätsreserven verfügt. In einer speziellen Testmethode (»testing the limits«) zeigt sich aber im Hochleistungsbereich, trotz der grundsätzlichen Plastizität, ein altersbezogenes Nachlassen der Gedächtnismechanik. Offenbar gibt es biologische Grenzen in der Schnelligkeit der menschlichen Vorstellungskraft. Vielleicht gelingt es auf der Grundlage dieser Erkentnnis, einen zuverlässigen Markierungsindikator für das hirnphysiologische Altern zu finden. Daraus könnten sich auch neue Methoden zur Früherkennung von Demenzen ableiten lassen.
Im kognitiv-motivationalen Prozessmodell des Lernens wird angenommen, dass der Lernerfolg von der Qualität und der Dauer ausgeführter Lernaktivitäten, aber auch vom Funktionszustand des Lerners während der Lernphase abhängt. Es wird vermutet, dass eine von mehreren Variablen des Funktionszustandes der Flow-Zustand während des Lernens ist. In einer Untersuchung in universitären Fremdsprachenkursen zeigte sich in der Tat, dass Flow-Erleben während des Unterrichts die späteren Lernleistungen auch dann vorhersagt, wenn der Leistungseffekt relevanter Lernkompetenzvariablen vorweg berücksichtigt wird. Gemäß dem kognitiv-motivationalen Prozessmodell wird Flow-Erleben seinerseits über die aktuelle Motivation vor der Lernphase vorhergesagt, wobei die wiederum von einer allgemeineren Motivationsvariablen zu Semesterbeginn abhängt. Diese Struktur wurde in einer zweiten Untersuchung repliziert und zwar an Studenten im Verlauf ihrer Statistikausbildung im Fach Psychologie. Beide Ergebnisse sprechen dafür, dass Flow- Erleben während des Lernens eine leistungsrelevante Variable des Funktionszustandes beim Lernen ist, die sich in ihrer Beziehungsstruktur erwartungsgemäß in das kognitivmotivationale Prozessmodell einpassen lässt.