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Content: Introduction: Do the Arts Really Matter? Aesthetic Cognition and Human Development The Significance of Arts in Everyday Life: Evidence from Case StudiesArts and Quality of Experience: A Systematic Analysis The Conditions of Optimal Experience The Representation of Experience in Personality Consequences for Teaching the Arts
This study investigated the relation between interest in four different subject areas (mathematics, biology, English, history) and the quality of experience in class. The strength of interest as a predictor of experience was contrasted with that of achievement motivation and scholastic ability. A total of208 highly able freshmen and sophomores completed interest ratings, an achievement motivation questionnaire, and the Preliminary Scholastic Aptitude Test (PSAT). These assessments were followed by one week of experience sampling. In addition, grades were available for the subject areas involved. The results showed that interest was a significant predictor of the experience of potency, intrinsic motivation, self-esteem, and perception of skill. Controlling for ability and achievement motivation did not decrease the strength of these relations. Achievement motivation and ability proved to be considerably weaker predictors of the quality of experience than was interest. In addition, interest contributed significantly to the prediction of grades in mathematics, biology, and history, but not English. The main results and some limitations of the study are discussed, and suggestions for future research are made.
Habsburg Central Europe
(2024)
Central Europe is characterized by linguistic and cultural density as well as by endogenous and exogenous cultural influences. These constellations were especially visible in the former Habsburg Empire, where they influenced the formation of individual and collective identities. This led not only to continual crises and conflicts, but also to an equally enormous creative potential as became apparent in the culture of the fin-de-siècle.
Computational thinking is a fundamental skill set that is learned
by studying Informatics and ICT. We argue that its core ideas can
be introduced in an inspiring and integrated way to both teachers and
students using fun and contextually rich cs4fn ‘Computer Science for
Fun’ stories combined with ‘unplugged’ activities including games and
magic tricks. We also argue that understanding people is an important
part of computational thinking. Computational thinking can be fun for
everyone when taught in kinaesthetic ways away from technology.
In Search of Belonging
(2021)
More than 200,000 Jews left the Habsburg province of Galicia between 1881 and 1910. No longer living in the places of their childhood, they settled in urban centers, such as in New York’s Lower East Side. In this neighborhood, Galician Jews began to search for new relationships that linked the places they left and the ones where they arrived and settled. By looking at Galicia through the lens of autobiographical writings by former Jewish immigrants who became established residents of New York, this article emphasizes the role of regionalism in the context of transnational conceptions of a new American Jewish self-understanding. It argues that the key to analyzing the evolution of “eastern Europe” as a common place of origin for American Jewry is the constant dialogue between the places of origin and arrival. Specifically, philanthropic efforts during and after the First World War and the proliferation of tourism both enabled these settled immigrants to gradually replace regional notions, such as the idea of Galicia, with a mythical image of eastern Europe to create a sense of community as American Jews.
We present an algorithm that computes a function that assigns consecutive integers to trees recognized by a deterministic, acyclic, finite-state, bottom-up tree automaton. Such function is called minimal perfect hashing. It can be used to identify trees recognized by the automaton. Its value may be seen as an index in some other data structures. We also present an algorithm for inverted hashing.
A comparison of current trends within computer science teaching in school in Germany and the UK
(2013)
In the last two years, CS as a school subject has gained a lot of attention worldwide, although different countries have differing approaches to and experiences of introducing CS in schools. This paper reports on a study comparing current trends in CS at school, with a major focus on two countries, Germany and UK. A survey was carried out of a number of teaching professionals and experts from the UK and Germany with regard to the content and delivery of CS in school. An analysis of the quantitative data reveals a difference in foci in the two countries; putting this into the context of curricular developments we are able to offer interpretations of these trends and suggest ways in which curricula in CS at school should be moving forward.
The paper discusses the issue of supporting informatics
(computer science) education through competitions for lower and
upper secondary school students (8–19 years old). Competitions play
an important role for learners as a source of inspiration, innovation,
and attraction. Running contests in informatics for school students
for many years, we have noticed that the students consider the contest
experience very engaging and exciting as well as a learning experience.
A contest is an excellent instrument to involve students in problem
solving activities. An overview of infrastructure and development
of an informatics contest from international level to the national one
(the Bebras contest on informatics and computer fluency, originated
in Lithuania) is presented. The performance of Bebras contests in 23
countries during the last 10 years showed an unexpected and unusually
high acceptance by school students and teachers. Many thousands of
students participated and got a valuable input in addition to their regular
informatics lectures at school. In the paper, the main attention is paid
to the developed tasks and analysis of students’ task solving results in
Lithuania.
We analyze the notions of monotonicity and complete monotonicity for Markov Chains in continuous-time, taking values in a finite partially ordered set. Similarly to what happens in discrete-time, the two notions are not equivalent. However, we show that there are partially ordered sets for which monotonicity and complete monotonicity coincide in continuous time but not in discrete-time.