Telesko, Rainer
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A new approach for teaching programming: model-based agile programming (MBAD)
Designing courses for introductory programming courses with a heterogeneous audience (business and IT background as well) is a challenging task. In an internal project of the School of Business at the FHNW University of Applied Sciences and Arts Northwestern Switzerland (FHNW) a group of lecturers developed a concept entitled “Model-based agile development” (MBAD) which supports the learning of elementary programming concepts in an agile environment and builds the basis for advanced courses. MBAD will be used as a basic learning module for various Bachelor programs at the FHNW.
Towards an Integrated Approach to Assess the Potential of an Enterprise to Mature Knowledge
Combining symbolic and sub-symbolic AI in the context of education and learning
Abstraction abilities are key to successfully mastering the Business Information Technology Programme (BIT) at the FHNW (Fachhochschule Nordwestschweiz). Object-Orientation (OO) is one example - which extensively requires analytical capabilities. For testing the OO-related capabilities a questionnaire (OO SET) for prospective and 1st year students was developed based on the Blackjack scenario. Our main target of the OO SET is to identify clusters of students which are likely to fail in the OO-related modules without a substantial amount of training. For the interpretation of the data the Kohonen Feature Map (KFM) is used which is nowadays very popular for data mining and exploratory data analysis. However, like all sub-symbolic approaches the KFM lacks to interpret and explain its results. Therefore, we plan to add - based on existing algorithms - a “postprocessing” component which generates propositional rules for the clusters and helps to improve quality management in the admission and teaching process. With such an approach we synergistically integrate symbolic and sub-symbolic artificial intelligence by building a bridge between machine learning and knowledge engineering.
PROMOTE - Methodologie und Werkzeug für geschäftsprozessorientiertes Wissensmanagement
Erfolgreiches Wissensmanagement setzt voraus, dass es in die tägliche Arbeit integriert ist, wie sie durch die Geschäftsprozesse eines Unternehmens vorgegeben wird. Wissensmanagement muss deshalb als integraler Bestandteil von Geschäftsprozessen und deren Gestaltung betrachtet werden. Wissen ist für ein Unternehmen relevant, wenn es die Geschäftsprozesse verbessert. In diesem Buch werden praxisrelevante Techniken und Vorgehensweisen beschrieben, mit deren Hilfe relevantes Wissen identifiziert, gesichert und gezielt zur Bearbeitung von Prozessaktivitäten bereitgestellt werden kann.
Towards an Integrated Approach to Assess the Potential of an Enterprise to Mature Knowledge, 5th Conference Professional Knowledge Management - Experiences and Visions
In this paper we describe a multi-dimensional framework for knowledge maturing and learning. The framework consists of seven dimensions and supports the assessment of the knowledge management as-is-state in a company as well as the selection of appropriate approaches and methods for a further improvement. The paper also discusses the relationship to comparable approaches (e.g. intellectual capital statements) and ends with open issues for a proper implementation of the maturity framework.