Einstellungen von Grundschulkindern zum Schulfach Mathematik

Einstellungen und Emotionen im Kontext der Schule spielen für das Lernen eine zentrale Rolle. Dennoch gibt es bisher eher wenige empirische Studien zu Wahrnehmungen und Bewertungen von Grundschulkindern. Insbesondere fehlen domänenspezifische Zügänge, d. h. Untersuchungen, in denen die Einstellungen der Kinder gegenüber einem bestimmten Fach analysiert werden. Im Zuge unserer Studie wurde versucht, die Einstellungen von N=165 österreichischen Grundschulkindern der Schulstufen 1-4 zum Fach Mathematik über ein Schuljahr hinweg und bis zu Beginn der nachfolgenden Schulstufen nachzuzeichnen und Veränderungen aufzuzeigen (vier Messzeitpunkte). Die Kinder wurden dabei zu ihren Fachpräferenzen in der Schule und zu ihren Bewertungen des Fachs Mathematik schriftlich befragt. Als Referenzfach diente das Fach Zeichnen, um die Ergebnisse zum Mathematikunterricht besser einzuschätzen zu können. Die Einstellungen gegenüber dem Mathematikunterricht wurden zudem mit Leistungen der Kinder (Mathematikzeugnisnoten und Rechentest) in Beziehung gesetzt. Die Ergebnisse verdeutlichen überwiegend positive Einstellungen zum Fach Mathematik, verweisen aber auch auf deren Rückgang im Verlauf des Schuljahrs, der sich weitgehend unabhängig vom Geschlecht und der Leistungen der Kinder vollzieht.

Effects of team Knowledge and ecological constraints on decisional processes in customized football game scenarios

Several theories assume that successful team coordination is partly based on knowledge that helps anticipating individual contributions necessary in a situational task. It has been argued that a more ecological perspective needs to be considered in contexts evolving dynamically and unpredictably. In football, defensive plays are usually coordinated according to strategic concepts spanning all members and large areas of the playfield. On the other hand, fewer people are involved in offensive plays as these are less projectable and strongly constrained by ecological characteristics. The aim of this study is to test the effects of ecological constraints and player knowledge on decision making in offensive game scenarios. It is hypothesized that both knowledge about team members and situational constraints will influence decisional processes. Effects of situational constraints are expected to be of higher magnitude. Two teams playing in the fourth league of the Swiss Football Federation participate in the study. Forty customized game scenarios were developed based on the coaches’ information about player positions and game strategies. Each player was shown in ball possession four times. Participants were asked to take the perspective of the player on the ball and to choose a passing destination and a recipient. Participants then rated domain specific strengths (e.g., technical skills, game intelligence) of each of their teammates. Multilevel models for categorical dependent variables (team members) will be specified. Player knowledge (rated skills) and ecological constraints (operationalized as each players’ proximity and availability for ball reception) are included as predictor variables. Data are currently being collected. Results will yield effects of parameters that are stable across situations as well as of variable parameters that are bound to situational context. These will enable insight into the degree to which ecological constraints and more enduring team knowledge are involved in decisional processes aimed at coordinating interpersonal action.

Zonal playfield attributes – A stochastic approach to subjective passing affordances in football

Introduction: According to the ecological view, coordination establishes byvirtueof social context. Affordances thought of as situational opportunities to interact are assumed to represent the guiding principles underlying decisions involved in interpersonal coordination. It’s generally agreed that affordances are not an objective part of the (social) environment but that they depend on the constructive perception of involved subjects. Theory and empirical data hold that cognitive operations enabling domain-specific efficacy beliefs are involved in the perception of affordances. The aim of the present study was to test the effects of these cognitive concepts in the subjective construction of local affordances and their influence on decision making in football. Methods: 71 football players (M = 24.3 years, SD = 3.3, 21 % women) from different divisions participated in the study. Participants were presented scenarios of offensive game situations. They were asked to take the perspective of the person on the ball and to indicate where they would pass the ball from within each situation. The participants stated their decisions in two conditions with different game score (1:0 vs. 0:1). The playing fields of all scenarios were then divided into ten zones. For each zone, participants were asked to rate their confidence in being able to pass the ball there (self-efficacy), the likelihood of the group staying in ball possession if the ball were passed into the zone (group-efficacy I), the likelihood of the ball being covered safely by a team member (pass control / group-efficacy II), and whether a pass would establish a better initial position to attack the opponents’ goal (offensive convenience). Answers were reported on visual analog scales ranging from 1 to 10. Data were analyzed specifying general linear models for binomially distributed data (Mplus). Maximum likelihood with non-normality robust standard errors was chosen to estimate parameters. Results: Analyses showed that zone- and domain-specific efficacy beliefs significantly affected passing decisions. Because of collinearity with self-efficacy and group-efficacy I, group-efficacy II was excluded from the models to ease interpretation of the results. Generally, zones with high values in the subjective ratings had a higher probability to be chosen as passing destination (βself-efficacy = 0.133, p < .001, OR = 1.142; βgroup-efficacy I = 0.128, p < .001, OR = 1.137; βoffensive convenience = 0.057, p < .01, OR = 1.059). There were, however, characteristic differences in the two score conditions. While group-efficacy I was the only significant predictor in condition 1 (βgroup-efficacy I = 0.379, p < .001), only self-efficacy and offensive convenience contributed to passing decisions in condition 2 (βself-efficacy = 0.135, p < .01; βoffensive convenience = 0.120, p < .001). Discussion: The results indicate that subjectively distinct attributes projected to playfield zones affect passing decisions. The study proposes a probabilistic alternative to Lewin’s (1951) hodological and deterministic field theory and enables insight into how dimensions of the psychological landscape afford passing behavior. Being part of a team, this psychological landscape is not only constituted by probabilities that refer to the potential and consequences of individual behavior, but also to that of the group system of which individuals are part of. Hence, in regulating action decisions in group settings, informers are extended to aspects referring to the group-level. References: Lewin, K. (1951). In D. Cartwright (Ed.), Field theory in social sciences: Selected theoretical papers by Kurt Lewin. New York: Harper & Brothers.

Climate sensitivity across marine domains of life: limits to evolutionary adaptation shape species interactions, supplementary material

Organisms in all domains, Archaea, Bacteria, and Eukarya will respond to climate change with differential vulnerabilities resulting in shifts in species distribution, coexistence, and interactions. The identification of unifying principles of organism functioning across all domains would facilitate a cause and effect understanding of such changes and their implications for ecosystem shifts. For example, the functional specialization of all organisms in limited temperature ranges leads us to ask for unifying functional reasons. Organisms also specialize in either anoxic or various oxygen ranges, with animals and plants depending on high oxygen levels. Here, we identify thermal ranges, heat limits of growth, and critically low (hypoxic) oxygen concentrations as proxies of tolerance in a meta-analysis of data available for marine organisms, with special reference to domain-specific limits. For an explanation of the patterns and differences observed, we define and quantify a proxy for organismic complexity across species from all domains. Rising complexity causes heat (and hypoxia) tolerances to decrease from Archaea to Bacteria to uni- and then multicellular Eukarya. Within and across domains, taxon-specific tolerance limits likely reflect ultimate evolutionary limits of its species to acclimatization and adaptation. We hypothesize that rising taxon-specific complexities in structure and function constrain organisms to narrower environmental ranges. Low complexity as in Archaea and some Bacteria provide life options in extreme environments. In the warmest oceans, temperature maxima reach and will surpass the permanent limits to the existence of multicellular animals, plants and unicellular phytoplankter. Smaller, less complex unicellular Eukarya, Bacteria, and Archaea will thus benefit and predominate even more in a future, warmer, and hypoxic ocean.

Dense Map Inference with User-Defined Priors: From Priorlets to Scan Eigenvariations

When mapping is formulated in a Bayesian framework, the need of specifying a prior for the environment arises naturally. However, so far, the use of a particular structure prior has been coupled to working with a particular representation. We describe a system that supports inference with multiple priors while keeping the same dense representation. The priors are rigorously described by the user in a domain-specific language. Even though we work very close to the measurement space, we are able to represent structure constraints with the same expressivity as methods based on geometric primitives. This approach allows the intrinsic degrees of freedom of the environment’s shape to be recovered. Experiments with simulated and real data sets will be presented

Automated attribute inference in complex service workflows based on sharing analysis

The properties of data and activities in business processes can be used to greatly facilítate several relevant tasks performed at design- and run-time, such as fragmentation, compliance checking, or top-down design. Business processes are often described using workflows. We present an approach for mechanically inferring business domain-specific attributes of workflow components (including data Ítems, activities, and elements of sub-workflows), taking as starting point known attributes of workflow inputs and the structure of the workflow. We achieve this by modeling these components as concepts and applying sharing analysis to a Horn clause-based representation of the workflow. The analysis is applicable to workflows featuring complex control and data dependencies, embedded control constructs, such as loops and branches, and embedded component services.

Combined determination of sharing and freeness of program variables through abstract interpretation

In this paper, abstract interpretation algorithms are described for computing the sharmg as well as the freeness information about the run-time instantiations of program variables. An abstract domain is proposed which accurately and concisely represents combined freeness and sharing information for program variables. Abstract unification and all other domain-specific functions for an abstract interpreter working on this domain are presented. These functions are illustrated with an example. The importance of inferring freeness is stressed by showing (1) the central role it plays in non-strict goal independence, and (2) the improved accuracy it brings to the analysis of sharing information when both are computed together. Conversely, it is shown that keeping accurate track of sharing allows more precise inference of freeness, thus resulting in an overall much more powerful abstract interpreter.

A core ontological model for semantic sensor web infrastructures

Semantic Sensor Web infrastructures use ontology-based models to represent the data that they manage; however, up to now, these ontological models do not allow representing all the characteristics of distributed, heterogeneous, and web-accessible sensor data. This paper describes a core ontological model for Semantic Sensor Web infrastructures that covers these characteristics and that has been built with a focus on reusability. This ontological model is composed of different modules that deal, on the one hand, with infrastructure data and, on the other hand, with data from a specific domain, that is, the coastal flood emergency planning domain. The paper also presents a set of guidelines, followed during the ontological model development, to satisfy a common set of requirements related to modelling domain-specific features of interest and properties. In addition, the paper includes the results obtained after an exhaustive evaluation of the developed ontologies along different aspects (i.e., vocabulary, syntax, structure, semantics, representation, and context).

The Threads of Biosystems Engineering

The core concepts, or threads, of Biosystems Engineering (BSEN) are variously understood by those within the discipline, but have never been unequivocally defined due to its early stage of development. This makes communication and teaching difficult compared to other well established engineering subjects. Biosystems Engineering is a field of Engineering which int egrates engineering science and design with applied biological, environmental and agricultural sciences. It represents an evolution of the Agricultural Engineering discipline applied to all living organisms not including biomedical applications. The basic key element for the emerging EU Biosystems Engineering program of studies is to ensure that it offers essential minimum fundamental engine ering knowledge and competences . A core curriculum developed by Erasmus Thematic Networks is used as benchmark for Agr icultural and Biosystems Engineering studies in Europe. The common basis of the core curriculum for the discipline across the Atlantic , including a minimum of competences comprising the Biosystems Engineering core competencies, has been defined by an Atlan tis project , but this needs to be taken further by defining the threads linking courses together. This paper presents a structured approach to define the Threads of BSEN . The definition of the mid-level competences and the associated learning outcomes has been one of the objectives of the Atlantis programme TABE.NET. The mid-level competences and learning outcomes for each of six specializations of BSEN are defined while the domain-specific knowledge to be acquired for each outcome is proposed. Once the proposed definitions are adopted, these threads will be available for global development of the BSEN.

Integración de Fuentes con Información de Contexto y Sistemas Interactivos

Durante el transcurso de esta Tesis Doctoral se ha realizado un estudio de la problemática asociada al desarrollo de sistemas de interacción hombre-máquina sensibles al contexto. Este problema se enmarca dentro de dos áreas de investigación: los sistemas interactivos y las fuentes de información contextual. Tradicionalmente la integración entre ambos campos se desarrollaba a través de soluciones verticales específicas, que abstraen a los sistemas interactivos de conocer los procedimientos de bajo nivel de acceso a la información contextual, pero limitan su interoperabilidad con otras aplicaciones y fuentes de información. Para solventar esta limitación se hace imprescindible potenciar soluciones interoperables que permitan acceder a la información del mundo real a través de procedimientos homogéneos. Esta problemática coincide perfectamente con los escenarios de \Computación Ubicua" e \Internet de las Cosas", donde se apunta a un futuro en el que los objetos que nos rodean serán capaces de obtener información del entorno y comunicarla a otros objetos y personas. Los sistemas interactivos, al ser capaces de obtener información de su entorno a través de la interacción con el usuario, pueden tomar un papel especial en este escenario tanto como consumidores como productores de información. En esta Tesis se ha abordado la integración de ambos campos teniendo en cuenta este escenario tecnológico. Para ello, en primer lugar se ha realizado un an álisis de las iniciativas más importantes para la definición y diseño de sistemas interactivos, y de las principales infraestructuras de suministro de información. Mediante este estudio se ha propuesto utilizar el lenguaje SCXML del W3C para el diseño de los sistemas interactivos y el procesamiento de los datos proporcionados por fuentes de contexto. Así, se ha reflejado cómo las capacidades del lenguaje SCXML para combinar información de diferentes modalidades pueden también utilizarse para procesar e integrar información contextual de diferentes fuentes heterogéneas, y por consiguiente diseñar sistemas de interacción sensibles al contexto. Del mismo modo se presenta a la iniciativa Sensor Web, y a su extensión semántica Semantic Sensor Web, como una iniciativa idónea para permitir un acceso y suministro homogéneo de la información a los sistemas interactivos sensibles al contexto. Posteriormente se han analizado los retos que plantea la integración de ambos tipos de iniciativas. Como resultado se ha conseguido establecer una serie de funcionalidades que son necesarias implementar para llevar a cabo esta integración. Utilizando tecnologías que aportan una gran flexibilidad al proceso de implementación y que se apoyan en recomendaciones y estándares actuales, se implementaron una serie de desarrollos experimentales que integraban las funcionalidades identificadas anteriormente. Finalmente, con el fin de validar nuestra propuesta, se realizaron un conjunto de experimentos sobre un entorno de experimentación que simula el escenario de la conducción. En este escenario un sistema interactivo se comunica con una extensión semántica de una plataforma basada en los estándares de la Sensor Web para poder obtener información y publicar las observaciones que el usuario realizaba al sistema. Los resultados obtenidos han demostrado la viabilidad de utilizar el lenguaje SCXML para el diseño de sistemas interactivos sensibles al contexto que requieren acceder a plataformas avanzadas de información para consumir y publicar información a la vez que interaccionan con el usuario. Del mismo modo, se ha demostrado cómo la utilización de tecnologías semánticas en los procesos de consulta y publicación de información puede facilitar la reutilización de la información publicada en infraestructuras Sensor Web por cualquier tipo de aplicación, y de este modo contribuir al futuro escenario de Internet de las Cosas. ABSTRACT In this Thesis, we have addressed the difficulties related to the development of context-aware human-machine interaction systems. This issue is part of two research fields: interactive systems and contextual information sources. Traditionally both fields have been integrated through domain-specific vertical solutions that allow interactive systems to access contextual information without having to deal with low-level procedures, but restricting their interoperability with other applications and heterogeneous data sources. Thus, it is essential to boost the research on interoperable solutions that provide access to real world information through homogeneous procedures. This issue perfectly matches with the scenarios of \Ubiquitous Computing" and \Internet of Things", which point toward a future in which many objects around us will be able to acquire meaningful information about the environment and communicate it to other objects and to people. Since interactive systems are able to get information from their environment through interaction with the user, they can play an important role in this scenario as they can both consume real-world data and produce enriched information. This Thesis deals with the integration of both fields considering this technological scenario. In order to do this, we first carried out an analysis of the most important initiatives for the definition and design of interactive systems, and the main infrastructures for providing information. Through this study the use of the W3C SCXML language is proposed for both the design of interactive systems and the processing of data provided by different context sources. Thus, this work has shown how the SCXML capabilities for combining information from different modalities can also be used to process and integrate contextual information from different heterogeneous sensor sources, and therefore to develope context-aware interaction systems. Similarly, we present the Sensor Web initiative, and its semantic extension Semantic Sensor Web, as an appropriate initiative to allow uniform access and delivery of information to the context-aware interactive systems. Subsequently we have analyzed the challenges of integrating both types of initiatives: SCXML and (Semantic) Sensor Web. As a result, we state a number of functionalities that are necessary to implement in order to perform this integration. By using technologies that provide exibility to the implementation process and are based on current recommendations and standards, we implemented a series of experimental developments that integrate the identified functionalities. Finally, in order to validate our approach, we conducted different experiments with a testing environment simulating a driving scenario. In this framework an interactive system can access a semantic extension of a Telco plataform, based on the standards of the Sensor Web, to acquire contextual information and publish observations that the user performed to the system. The results showed the feasibility of using the SCXML language for designing context-aware interactive systems that require access to advanced sensor platforms for consuming and publishing information while interacting with the user. In the same way, it was shown how the use of semantic technologies in the processes of querying and publication sensor data can assist in reusing and sharing the information published by any application in Sensor Web infrastructures, and thus contribute to realize the future scenario of \Internet of Things".

Knowledge-based spatiotemporal linear abstraction

We present a theoretical framework and a case study for reusing the same conceptual and computational methodology for both temporal abstraction and linear (unidimensional) space abstraction, in a domain (evaluation of traffic-control actions) significantly different from the one (clinical medicine) in which the method was originally used. The method, known as knowledge-based temporal abstraction, abstracts high-level concepts and patterns from time-stamped raw data using a formal theory of domain-specific temporal-abstraction knowledge. We applied this method, originally used to interpret time-oriented clinical data, to the domain of traffic control, in which the monitoring task requires linear pattern matching along both space and time. First, we reused the method for creation of unidimensional spatial abstractions over highways, given sensor measurements along each highway measured at the same time point. Second, we reused the method to create temporal abstractions of the traffic behavior, for the same space segments, but during consecutive time points. We defined the corresponding temporal-abstraction and spatial-abstraction domain-specific knowledge. Our results suggest that (1) the knowledge-based temporal-abstraction method is reusable over time and unidimensional space as well as over significantly different domains; (2) the method can be generalized into a knowledge-based linear-abstraction method, which solves tasks requiring abstraction of data along any linear distance measure; and (3) a spatiotemporal-abstraction method can be assembled from two copies of the generalized method and a spatial-decomposition mechanism, and is applicable to tasks requiring abstraction of time-oriented data into meaningful spatiotemporal patterns over a linear, decomposable space, such as traffic over a set of highways.

Embedding logical frameworks in scala

El Framework Lógico de Edimburgo ha demostrado ser una poderosa herramienta en el estudio formal de sistemas deductivos, como por ejemplo lenguajes de programación. Sin embargo su principal implementación, el sistema Twelf, carece de expresividad, obligando al programador a escribir código repetitivo. Este proyecto presenta una manera alternativa de utilizar Twelf: a través de un EDSL (Lenguaje Embebido de Dominio Específico) en Scala que permite representar firmas del Framework Lógico, y apoyándonos en Twelf como backend para la verificación, abrimos la puerta a diversas posibilidades en términos de metaprogramación. El código fuente, así como instrucciones para instalar y configurar, está accesible en https://github.com/akathorn/elfcala. ---ABSTRACT---The Edinburgh Logical Framework has proven to be to be a powerful tool in the formal study of deductive systems, such as programming languages. However, its main implementation, the Twelf system, lacks expressiveness, requiring the programmer to write repetitive code. This project presents an alternative way of using Twelf: by providing a Scala EDSL (Embedded Domain Specific Language) that can encode Logical Framework signatures and relying on Twelf as a backend for the verification, we open the door to different possibilities in terms of metaprogramming. The source code, along with instructions to install and configure, is accessible at https://github.com/akathorn/elfcala

SMART Protocols: seMAntic represenTation for experimental protocols

Two important characteristics of science are the ?reproducibility? and ?clarity?. By rigorous practices, scientists explore aspects of the world that they can reproduce under carefully controlled experimental conditions. The clarity, complementing reproducibility, provides unambiguous descriptions of results in a mechanical or mathematical form. Both pillars depend on well-structured and accurate descriptions of scientific practices, which are normally recorded in experimental protocols, scientific workflows, etc. Here we present SMART Protocols (SP), our ontology-based approach for representing experimental protocols and our contribution to clarity and reproducibility. SP delivers an unambiguous description of processes by means of which data is produced; by doing so, we argue, it facilitates reproducibility. Moreover, SP is thought to be part of e-science infrastructures. SP results from the analysis of 175 protocols; from this dataset, we extracted common elements. From our analysis, we identified document, workflow and domain-specific aspects in the representation of experimental protocols. The ontology is available at http://purl.org/net/SMARTprotocol

FATS: a framework for annotation of travel blogs based on subjectivity

This paper describes a framework for annotation on travel blogs based on subjectivity (FATS). The framework has the capability to auto-annotate -sentence by sentence- sections from blogs (posts) about travelling in the Spanish language. FATS is used in this experiment to annotate com- ponents from travel blogs in order to create a corpus of 300 annotated posts. Each subjective element in a sentence is annotated as positive or negative as appropriate. Currently correct annotations add up to about 95 per cent in our subset of the travel domain. By means of an iterative process of annotation we can create a subjectively annotated domain specific corpus.

Herramienta Web para el modelado de consultas CEP (Complex Event Processing)

RESUMEN En los últimos años, debido al incremento en la demanda por parte de las empresas de tecnologías que posibiliten la monitorización y el análisis de un gran volumen de datos en tiempo real, la tecnología CEP (Complex Event Processing) ha surgido como una potencia en alza y su uso se ha incrementado notablemente en ciertos sectores como, por ejemplo, la gestión y automatización de procesos de negocios, finanzas, monitorización de redes y aplicaciones, así como redes de sensores inteligentes como el caso de estudio en el que nos centraremos. CEP se basa en un lenguaje de procesamiento de eventos (Event Processing Language,EPL) cuya utilización puede resultar bastante compleja para usuarios inexpertos. Esta complejidad supone un hándicap y, por lo tanto, un problema a la hora de que su uso se extienda. Este Proyecto Fin de Grado (PFG) pretende dar una solución a este problema, acercando al usuario la tecnología CEP mediante técnicas de abstracción y modelado. Para ello, este PFG ha definido un lenguaje de modelado específico dominio, sencillo e intuitivo para el usuario inexperto, al que se ha dado soporte mediante el desarrollo de una herramienta de modelado gráfico (CEP Modeler) en la que se pueden modelar consultas CEP de forma gráfica, sencilla y de manera más accesible para el usuario. ABSTRACT Over recent years, more and more companies demand technology for monitoring and analyzing a vast volume of data in real time. In this regard, the CEP technology (Complex Event Processing) has emerged as a novel approach to that end, and its use has increased dramatically in certain domains, such as, management and automation of business processes, finance, monitoring of networks and applications, as well as smart sensor networks as the case study in which we will focus. CEP is based on in the Event Processing Language (EPL). This language can be rather difficult to use for new users. This complexity can be a handicap, and therefore, a problem at the time of extending its use. This project aims to provide a solution to this problem, trying to approach the CEP technology to users through abstraction and modelling techniques. To that end, this project has defined an intuitive and simple domain-specific modelling language for new users through a web tool (CEP Modeler) for graphically modeling CEP queries, in an easier and more accessible way.