Berufsausbildung und sozio-ökonomischer Wandel. Ursachen der "Krise des dualen Systems" der Berufsausbildung

Zu einem Zeitpunkt, zu dem zahlreiche Entwicklungs- und neuerdings auch Industrieländer das „duale System" der Berufsausbildung in Deutschland als eine Art Idealmodell der beruflichen Qualifizierung entdecken, wachsen die Zweifel, ob dieses Ausbildungssystem angesichts der anhaltenden Expansion von Gymnasium und Hochschule noch eine Zukunftsperspektive hat. Im vorliegenden Beitrag werden die zahlreichen Symptome der Krise des dualen Systems aufgezeigt, es wird versucht, die Ursachen dieser Krise unter sozialhistorischer Fragestellung zu deuten, und es werden die bislang aufgezeigten Vorschläge diskutiert, diese Krise zu überwinden. (DIPF/Orig.)

Die politische Ökonomie der Berufsbildung in Großbritannien und in Deutschland

Der Beitrag wägt die Vor- und Nachteile des dualen Berufsbildungswesens in Deutschland gegen die sehr viel weniger geregelte Ausbildung in Großbritannien ab. Es werden die Interessen dargelegt, die Arbeitgeber daran hindern bzw. ermutigen; eine betriebsspezifische oder aber eine allgemein anwendbare Aus- oder Fortbildung anzubieten. Verglichen werden Muster einer Interventionspolitik und wirtschaftlicher Regulierung mit denen eines Prinzips des freien Marktes, beides in parlamentarischen Systemen. Der Vergleich der britischen und der deutschen Entwicklung zeigt die unterschiedlichen Voraussetzungen beider Gesellschaften, die auch einer Übertragung des dualen Berufsbildungssystems entgegenstehen. (DIPF/Orig.)

Allgemeinbildung und Berufsbildung. Zwei konkurrierende Konzepte der Systembildung in der deutschen Bildungsgeschichte und ihre aktuelle Krise

Berufliche und allgemeine Bildung sind keine curricularen, sondern systemische Gegensätze. Die deutsche Bildungsgeschichte hat sich über zwei soziologisch völlig unterschiedliche, daher auch weder integrier- noch aufeinander reduzierbare Zentren der Systemfindung abgespielt. Reformambitionen, die das nicht zur Kenntnis nehmen, scheitern an den historisch entstandenen Formen, durch die sie selbst möglich geworden sind. (DIPF/Orig.)

Europeanization in VET policy as a process of reshaping the educational space

The EU represents a transforming educational space, where national and supranational boundaries in educational governance are becoming blurred. The EU has become an important actor in educational governance and an important arena for policy learning and transfer. This paper explores how the process of reshaping the educational space manifests itself in the process of the Europeanization of VET policy in the case of Estonia. In Estonia, this process was followed by the growth of executive VET institutions and has developed from rather uncritical initial policy transfer to more active learning from the EU, although conformism can still be seen in cases of the introduction of standardizing policy tools. (DIPF/Orig.)

Christian Efing (Hrsg.): Ausbildungsvorbereitung im Deutschunterricht der Sekundarstufe I. Die sprachlich-kommunikativen Facetten von „Ausbildungsfähigkeit“. Frankfurt am Main: Peter Lang 2013 (371 S.) [Rezension]

Rezension von: Christian Efing (Hrsg.): Ausbildungsvorbereitung im Deutschunterricht der Sekundarstufe I. Die sprachlich-kommunikativen Facetten von „Ausbildungsfähigkeit“. Frankfurt am Main: Peter Lang 2013 (371 S.; ISBN 978-3-631-63387-8)

A Simulação nos Desafios do Futuro para a Operacionalidade das Forças de Segurança: o seu Emprego na Guarda Nacional Republicana

O objetivo da simulação é confrontar os instruendos com situações que permitam recriar as condições mais próximas da realidade, para que o processo de aprendizagem possa atingir os objetivos da formação. As polícias estrangeiras já utilizam simuladores nas áreas do ensino da condução, tiro, inativação de engenhos explosivos e fiscalização rodoviária. Cada equipamento ensina e desenvolve as capacidades dos agentes policiais, que por sua vez, contribui para a promoção da eficácia policial. Este estudo estabelece a ligação entre os conceitos de simulação e de formação no sentido de tentar desenvolver as linhas orientadoras da formação policial da GNR com recurso à simulação. Abstract: The intent of simulations is to immerse trainees in situations wich provide to recreate conditions similar to reality, for the purpose that the training process would reach training objectives. Law enforcement agencies abroad already use simulators for driver training, shooting, explosive ordinance disposal and road and transport enforcement. Each equipment teaches and enhance skills of individual officers which, in turn, will contribute to promote police effectiveness. This study aims to link the concepts of simulation and training in order to develop the guidelines of the GNR police training using simulators.

Age Prediction through Pelvis X-Ray Images - A Case Based approach to Problem Solving

It is well known that the dimensions of the pelvic bones depend on the gender and vary with the age of the individual. Indeed, and as a matter of fact, this work will focus on the development of an intelligent decision support system to predict individual’s age based on pelvis’ dimensions criteria. On the one hand, some basic image processing technics were applied in order to extract the relevant features from pelvic X-rays. On the other hand, the computational framework presented here was built on top of a Logic Programming approach to knowledge representation and reasoning, that caters for the handling of incomplete, unknown, or even self-contradictory information, complemented with a Case Base approach to computing.

An Artificial Intelligence Approach to Individuals' Age Assessment

A link between patterns of pelvic growth and human life history is supported by the finding that, cross-culturally, variation in maturation rates of female pelvis are correlated with variation in ages of menarche and first reproduction, i.e., it is well known that the human dimensions of the pelvic bones depend on the gender and vary with the age. Indeed, one feature in which humans appear to be unique is the prolonged growth of the pelvis after the age of sexual maturity. Both the total superoinferior length and mediolateral breadth of the pelvis continues to grow markedly after puberty, and do not reach adult proportions until the late teens years. This continuation of growth is accomplished by relatively late fusion of the separate centers of ossification that form the bones of the pelvis. Hence, in this work we will focus on the development of an intelligent decision support system to predict individual’s age based on a pelvis' dimensions criteria. Some basic image processing techniques were applied in order to extract the relevant features from pelvic X-rays, being the computational framework built on top of a Logic Programming approach to Knowledge Representation and Reasoning that caters for the handling of incomplete, unknown, or even self-contradictory information, complemented with a Case Base approach to computing.

Scaling up: Achieving a breakthrough in adult learning with technology

The first report commissioned by Ufi Charitable Trust. It investigates opportunities for and barriers to the application of digital technology to adult learning. It focuses on possible ways to transform the UK’s vocational education and training system, identifying three main priorities for funding by the Ufi Charitable Trust: * increasing the capability of those involved in running the vocational learning system * exploiting networks to bring together learners, learning content and learning professionals * harnessing computers to support individualised and differentiated learning.

Preharvest factors affecting quality and antioxidant levels on Abate Fétel pears: study of superficial scald with a multivariate statistical approach and neural networks

There are only a few insights concerning the influence that agronomic and management variability may have on superficial scald (SS) in pears. Abate Fétel pears were picked during three seasons (2018, 2019 and 2020) from thirty commercial orchards in the Emilia Romagna region, Italy. Using a multivariate statistical approach, high heterogeneity between farms for SS development after cold storage with regular atmosphere was demonstrated. Indeed, some factors seem to affect SS in all growing seasons: high yields, soil texture, improper irrigation and Nitrogen management, use of plant growth regulators, late harvest, precipitations, Calcium and cow manure, presence of nets, orchard age, training system and rootstock. Afterwards, we explored the spatio/temporal variability of fruit attributes in two pear orchards. Environmental and physiological spatial variables were recorded by a portable RTK GPS. High spatial variability of the SS index was observed. Through a geostatistical approach, some characteristics, including soil electrical conductivity and fruit size, have been shown to be negatively correlated with SS. Moreover, regression tree analyses were applied suggesting the presence of threshold values of antioxidant capacity, total phenolic content, and acidity against SS. High pulp firmness and IAD values before storage, denoting a more immature fruit, appeared to be correlated with low SS. Finally, a convolution neural networks (CNN) was tested to detect SS and the starch pattern index (SPI) in pears for portable device applications. Preliminary statistics showed that the model for SS had low accuracy but good precision, and the CNN for SPI denoted good performances compared to the Ctifl and Laimburg scales. The major conclusion is that Abate Fétel pears can potentially be stored in different cold rooms, according to their origin and quality features, ensuring the best fruit quality for the final consumers. These results might lead to a substantial improvement in the Italian pear industry.

Using an ambient intelligent architecture for developing an intelligent tutoring system for training operators of power system control centres

This paper describes an architecture conceived to integrate Power Sys-tems tools in a Power System Control Centre, based on an Ambient Intelligent (AmI) paradigm. This architecture is an instantiation of the generic architecture proposed in [1] for developing systems that interact with AmI environments. This architecture has been proposed as a consequence of a methodology for the inclu-sion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Sys-tems Research for Ambient Intelligence). The architecture presented in the paper will be able to integrate two applications in the control room of a power system transmission network. The first is SPARSE expert system, used to get diagnosis of incidents and to support power restoration. The second application is an Intelligent Tutoring System (ITS) incorporating two training tools. The first tutoring tool is used to train operators to get the diagnosis of incidents. The second one is another tutoring tool used to train operators to perform restoration procedures.

An intelligent tutoring system for operators’ training in power system control centres

The activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults, like blackouts. In this paper we present an Intelligent Tutoring approach for training Portuguese Control Centre operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, taking into account context awareness and the unobtrusive integration in the working environment.

TINSEL – a web-based intelligent tutoring system on electrical installation design

This paper presents a project consisting on the development of an Intelligent Tutoring System, for training and support concerning the development of electrical installation projects to be used by electrical engineers, technicians and students. One of the major goals of this project is to devise a teaching model based on Intelligent Tutoring techniques, considering not only academic knowledge but also other types of more empirical knowledge, able to achieve successfully the training of electrical installation design.

Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems

The activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults like blackouts. In this paper, we present an Intelligent Tutoring approach for training Portuguese Control Center operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, having into account context awareness and the unobtrusive integration in the working environment. Several Artificial Intelligence techniques were criteriously used and combined together to obtain an effective Intelligent Tutoring environment, namely Multiagent Systems, Neural Networks, Constraint-based Modeling, Intelligent Planning, Knowledge Representation, Expert Systems, User Modeling, and Intelligent User Interfaces.

Cyber-ambient intelligent training of operators in power systems control centres

Cyber-Physical Systems and Ambient Intelligence are two of the most important and emerging paradigms of our days. The introduction of renewable sources gave origin to a completely different dimension of the distribution generation problem. On the other hand, Electricity Markets introduced a different dimension in the complexity, the economic dimension. Our goal is to study how to proceed with the Intelligent Training of Operators in Power Systems Control Centres, considering the new reality of Renewable Sources, Distributed Generation, and Electricity Markets, under the emerging paradigms of Cyber-Physical Systems and Ambient Intelligence. We propose Intelligent Tutoring Systems as the approach to deal with the intelligent training of operators in these new circumstances.