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How Things Work
(2015)
Recognizing and defining functionality is a key competence
adopted in all kinds of programming projects. This study investigates
how far students without specific informatics training are able to identify
and verbalize functions and parameters. It presents observations
from classroom activities on functional modeling in high school chemistry
lessons with altogether 154 students. Finally it discusses the potential
of functional modelling to improve the comprehension of scientific
content.
Diese Arbeit enthält eine umfassende Analyse, wie der Kompetenzerwerb in einem einsemestrigen Softwarepraktikum vonstatten geht. Dabei steht neben der Frage, welche Kompetenzen besonders gut erworben wurden, der Einfluss von Vorwissen/-kompetenz im Mittelpunkt der Abhandlung. Auf dieser Basis werden einige grundlegende und konkrete Verbesserungsvorschläge erarbeitet, wie der breite Kompetenzerwerb begünstigt wird, d.h. möglichst viele Studierende sich in einem breiten Kompetenzspektrum weiterentwickeln.
ProtoSense
(2015)
This paper originated from discussions about the need for
important changes in the curriculum for Computing including two focus
group meetings at IFIP conferences over the last two years. The
paper examines how recent developments in curriculum, together with
insights from curriculum thinking in other subject areas, especially mathematics
and science, can inform curriculum design for Computing.
The analysis presented in the paper provides insights into the complexity
of curriculum design as well as identifying important constraints and
considerations for the ongoing development of a vision and framework
for a Computing curriculum.
The exponential expanding of the numbers of web sites and Internet users makes WWW the most important global information resource. From information publishing and electronic commerce to entertainment and social networking, the Web allows an inexpensive and efficient access to the services provided by individuals and institutions. The basic units for distributing these services are the web sites scattered throughout the world. However, the extreme fragility of web services and content, the high competence between similar services supplied by different sites, and the wide geographic distributions of the web users drive the urgent requirement from the web managers to track and understand the usage interest of their web customers. This thesis, "X-tracking the Usage Interest on Web Sites", aims to fulfill this requirement. "X" stands two meanings: one is that the usage interest differs from various web sites, and the other is that usage interest is depicted from multi aspects: internal and external, structural and conceptual, objective and subjective. "Tracking" shows that our concentration is on locating and measuring the differences and changes among usage patterns. This thesis presents the methodologies on discovering usage interest on three kinds of web sites: the public information portal site, e-learning site that provides kinds of streaming lectures and social site that supplies the public discussions on IT issues. On different sites, we concentrate on different issues related with mining usage interest. The educational information portal sites were the first implementation scenarios on discovering usage patterns and optimizing the organization of web services. In such cases, the usage patterns are modeled as frequent page sets, navigation paths, navigation structures or graphs. However, a necessary requirement is to rebuild the individual behaviors from usage history. We give a systematic study on how to rebuild individual behaviors. Besides, this thesis shows a new strategy on building content clusters based on pair browsing retrieved from usage logs. The difference between such clusters and the original web structure displays the distance between the destinations from usage side and the expectations from design side. Moreover, we study the problem on tracking the changes of usage patterns in their life cycles. The changes are described from internal side integrating conceptual and structure features, and from external side for the physical features; and described from local side measuring the difference between two time spans, and global side showing the change tendency along the life cycle. A platform, Web-Cares, is developed to discover the usage interest, to measure the difference between usage interest and site expectation and to track the changes of usage patterns. E-learning site provides the teaching materials such as slides, recorded lecture videos and exercise sheets. We focus on discovering the learning interest on streaming lectures, such as real medias, mp4 and flash clips. Compared to the information portal site, the usage on streaming lectures encapsulates the variables such as viewing time and actions during learning processes. The learning interest is discovered in the form of answering 6 questions, which covers finding the relations between pieces of lectures and the preference among different forms of lectures. We prefer on detecting the changes of learning interest on the same course from different semesters. The differences on the content and structure between two courses leverage the changes on the learning interest. We give an algorithm on measuring the difference on learning interest integrated with similarity comparison between courses. A search engine, TASK-Moniminer, is created to help the teacher query the learning interest on their streaming lectures on tele-TASK site. Social site acts as an online community attracting web users to discuss the common topics and share their interesting information. Compared to the public information portal site and e-learning web site, the rich interactions among users and web content bring the wider range of content quality, on the other hand, provide more possibilities to express and model usage interest. We propose a framework on finding and recommending high reputation articles in a social site. We observed that the reputation is classified into global and local categories; the quality of the articles having high reputation is related with the content features. Based on these observations, our framework is implemented firstly by finding the articles having global or local reputation, and secondly clustering articles based on their content relations, and then the articles are selected and recommended from each cluster based on their reputation ranks.
Berufsbegleitende Studiengänge stehen vor besonderen Schwierigkeiten, für die der Einsatz von Blended Learning-Szenarien sinnvoll sein kann. Welche speziellen Herausforderungen sich dabei ergeben und welche Lösungsansätze dagegen steuern, betrachtet der folgende Artikel anhand eines Praxisberichts aus dem Studiengang M. P. A. Wissenschaftsmanagement an der Universität Speyer.
Ziel einer neuen Studieneingangsphase ist, den Studierenden bis zum Ende des ersten Semesters ein vielfältiges Berufsbild der Informatik und Wirtschaftsinformatik mit dem breiten Aufgabenspektrum aufzublättern und damit die Zusammenhänge zwischen den einzelnen Modulen des Curriculums zu verdeutlichen. Die Studierenden sollen in die Lage versetzt werden, sehr eigenständig die Planung und Gestaltung ihres Studiums in die Hand zu nehmen.
Diese Arbeit umfasst die Archivierung, Visualisierung anhand bioinformatischer Methoden und Interpretation eines vorhandenen Messdatensatz (Element [ICP-MS]-, Ionen [IC]- und Metabolitdaten [RP-HPLC und GC/TOF-MS]) der Pflanze Arabidopsis thaliana getrennt in Blätter und Wurzeln. Die Pflanzen wurden den sechs Mangelsituationen der Nährstoffe Eisen, Kalium, Magnesium, Stickstoff, Phosphor und Schwefel ausgesetzt und zu neun Messzeitpunkten [0.5-, 1-, 2-, 3-, 4-, 5-, 6-, 7-in Tagen und „resupply“ (vier Stunden nach dem vierten Tag)] analysiert. Es erfolgte die Integration der Messdaten in eine SQlite-Datenbank. Die Veranschaulichung erfolgte mit Hilfe der Programmiersprache R. Anhand einiger Pakete zur Erweiterung des Funktionsumfangs von R wurde erstens eine Schnittstelle zur SQLite- Datenbank hergestellt, was ein Abfragen an diese ermöglichte und zweitens verhalfen sie zu der Erstellung einer Reihe zusätzlicher Darstellungsformen (Heatmap, Wireframe, PCA). Selbstgeschriebene Skripte erlaubten den Datenzugriff und die grafische Ausgabe als z. B. Heatmaps. In der Entstehung dieser Arbeit sind weiterhin zwei weitere Visualisierungsformen von PCA-Daten entwickelt worden: Das Abstandsdiagramm und die animierte PCA. Beides sind hilfreiche Werkzeuge zur Interpretation von PCA-Plots eines zeitlichen Verlaufes. Anhand der Darstellungen der Element- und Ionendaten ließen sich die Nährstoffmangelsituationen durch Abnahme der entsprechenden Totalelemente und Ionen nachweisen. Weiterhin sind starke Ähnlichkeiten der durch RP-HPLC bestimmten Metaboliten unter Eisen-, Kalium und Magnesiummangel erkannt worden. Allerdings gibt es nur eine geringe Anzahl an Interkationen der Metabolitgehalte, da der Großteil der Metabolitlevel im Vergleich zur Kontrolle unverändert blieb. Der Literaturvergleich mit zwei Publikationen, die den Phosphat- und Schwefelmangel in Arabidopsis thaliana untersuchten, zeigte ein durchwachsenes Ergebnis. Einerseits gab es eine gleiche Tendenz der verglichenen Aminosäuren zu verzeichen, aber andererseits wiesen die Visualisierungen auch Gegensätzlichkeiten auf. Der Vergleich der mit RP-HPLC und GC/TOF-MS gemessenen Metaboliten erbrachte ein sehr kontroverses Ergebnis. Zum einen wurden Übereinstimmungen der gleichen Metaboliten durch gemeinsame Cluster in den Heatmaps beobachtet, zum anderen auch Widersprüche, exemplarisch in den Abstandsdiagrammen der Blätterdaten jedes Verfahrens, in welchen unterschiedliche Abstandshöhepunkte erkennbar sind.
Deciphering the functioning of biological networks is one of the central tasks in systems biology. In particular, signal transduction networks are crucial for the understanding of the cellular response to external and internal perturbations. Importantly, in order to cope with the complexity of these networks, mathematical and computational modeling is required. We propose a computational modeling framework in order to achieve more robust discoveries in the context of logical signaling networks. More precisely, we focus on modeling the response of logical signaling networks by means of automated reasoning using Answer Set Programming (ASP). ASP provides a declarative language for modeling various knowledge representation and reasoning problems. Moreover, available ASP solvers provide several reasoning modes for assessing the multitude of answer sets. Therefore, leveraging its rich modeling language and its highly efficient solving capacities, we use ASP to address three challenging problems in the context of logical signaling networks: learning of (Boolean) logical networks, experimental design, and identification of intervention strategies. Overall, the contribution of this thesis is three-fold. Firstly, we introduce a mathematical framework for characterizing and reasoning on the response of logical signaling networks. Secondly, we contribute to a growing list of successful applications of ASP in systems biology. Thirdly, we present a software providing a complete pipeline for automated reasoning on the response of logical signaling networks.
Das Training sozioemotionaler Kompetenzen ist gerade für Menschen mit Autismus nützlich. Ein solches Training kann mithilfe einer spielbasierten Anwendung effektiv gestaltet werden. Zwei Minispiele, Mimikry und Emo-Mahjong, wurden realisiert und hinsichtlich User Experience evaluiert. Die jeweiligen Konzepte und die Evaluationsergebnisse sollen hier vorgestellt werden.