341 research outputs found

    Large-scale assessment in education: Analysing PIAAC data

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    This methodological book aims to summarise existing techniques for analysing data resulting from the Programme for the International Assessment of Adult Competencies (PIAAC). The present chapter provides an overview of the programme, outlining its goal, the participating countries, the survey cycles, and the research questions that can be addressed with the available data. In addition, the structure of the textbook is described

    PIAAC: Eine internationale Studie zur Untersuchung von Alltagsfertigkeiten Erwachsener

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    Mit dem "Programme for the International Assessment of Adult Competencies" untersuchte die OECD erstmals die Lese-, Rechen- und Problemlösekompetenzen Erwachsener in 24 IndustrielÀndern. Welche Werte die deutschen Teilnehmer im internationalen Vergleich erzielen, wie sie sich auf die Kompetenzlevel verteilen und welche ZusammenhÀnge mit anderen Faktoren wie dem Alter oder Bildungsabschluss bestehen, wird anhand zentraler Ergebnisse der Studie aufgezeigt. (Autorenreferat

    PIAAC and its methodological challenges

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    "This article gives an overview of the Programme for the International Assessment of Adult Competencies (PIAAC) and introduces the methodological challenges in implementing the survey - especially those encountered in Germany. Adherence to high methodological standards is a prerequisite to participation in PIAAC and to inclusion of the national data of the respective participating countries in the international dataset (OECD, 2010). Depending on the standard in question, and on national circumstances, compliance is a challenging undertaking. This Special Issue discusses methodological challenges at different levels, and steps taken to implement PIAAC standards in Germany. The aspects addressed include sample design, survey instruments, field work preparation, data collection, and estimation standards. In this introductory article, we outline the central elements of the PIAAC design and the methodological challenges of the survey, and we present the other six articles in this special issue." (author's abstract

    Grundlegende Kompetenzen Erwachsener mit Migrationshintergrund im internationalen Vergleich: PIAAC 2012

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    Der Migrationsbericht zum Programme for the International Assessment of Adult Competencies (PIAAC) kontrastiert die Grundkompetenzen der erwachsenen Bevölkerung mit und ohne Migrationshintergrund in Deutschland und im internationalen Vergleich. In Deutschland, wie auch in den meisten anderen LĂ€ndern verfĂŒgen Personen mit Migrationshintergrund im Durchschnitt ĂŒber geringere Grundkompetenzen als Personen ohne Migrationshintergrund. Diese KompetenzdisparitĂ€ten sind insbesondere durch Unterschiede in strukturellen Hintergrundmerkmalen, wie zum Beispiel dem Bildungshintergrund oder dem sozioökonomischen Status, zu erklĂ€ren

    Acoustic-prosodic automatic personality trait assessment for adults and children

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    This paper investigates the use of heterogeneous speech corpora for automatic assessment of personality traits in terms of the BigFive OCEAN dimensions. The motivation for this work is twofold: the need to develop methods to overcome the lack of children’s speech corpora, particularly severe when targeting personality traits, and the interest on cross-age comparisons of acoustic-prosodic features to build robust paralinguistic detectors. For this purpose, we devise an experimental setup with age mismatch utilizing the Interspeech 2012 Personality Subchallenge, containing adult speech, as training data. As test data, we use a corpus of children’s European Portuguese speech. We investigate various features sets such as the Sub-challenge baseline features, the recently introduced eGeMAPS features and our own knowledge-based features. The preliminary results bring insights into cross-age and -language detection of personality traits in spontaneous speech, pointing out to a stable set of acoustic-prosodic features for Extraversion and Agreeableness in both adult and child speech.info:eu-repo/semantics/publishedVersio

    Predictors of Acceptance and Rejection of Online Peer Support Groups as a Digital Wellbeing Tool

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    © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Digital media usage can be problematic; exhibiting symptoms of behavioural addiction such as mood modification, tolerance, conflict, salience, withdrawal symptoms and relapse. Google Digital Wellbeing and Apple Screen Time are examples of an emerging family of tools to help people have a healthier and more conscious relationship with technology. Peer support groups is a known technique for behaviour change and relapse prevention. It can be facilitated online, especially with advanced social networking techniques. Elements of peer support groups are being already embedded in digital wellbeing tools, e.g. peer comparisons, peer commitments, collective usage limit-setting and family time. However, there is a lack of research about the factors influencing people acceptance and rejection of online peer support groups to enhance digital wellbeing. Previous work has qualitatively explored the acceptance and rejection factors to join and participate in such groups. In this paper, we quantitatively study the relationship between culture, personality, self-control, gender, willingness to join the groups and perception of their usefulness, on such acceptance and rejection factors. The qualitative phase included two focus groups and 16 interviews while the quantitative phase consisted of a survey (215 participants). We found a greater number of significant models to predict rejection factors than acceptance factors, although in all cases the amount of variance explained by the models was relatively small. This demonstrates the need to design and, also, introduce such technique in a contextualised and personalised style to avoid rejection and reactance

    PIAAC 2012: Die wichtigsten Ergebnisse im Überblick

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    Die Organisation fĂŒr wirtschaftliche Zusammenarbeit und Entwicklung (OECD) untersucht mit dem Programme for the International Assessment of Adult Com-petencies (PIAAC) zentrale Grundkompetenzen in der erwachsenen Bevölkerung – wie die Lesekompetenz, die alltagsmathematische Kompetenz und technologiebasiertes Problemlösen –, von denen angenommen wird, dass sie fĂŒr die erfolgreiche Teilhabe an der heutigen Gesellschaft von zentraler Bedeutung sind. Sie sind ein wichtiger Grundstein fĂŒr die Entwicklung zahlreicher weiterer spezifischer Kompetenzen und Fertigkeiten. Mittels PIAAC sollen diese SchlĂŒsselkompetenzen im Erwachsenenalter international verglichen werden. Der Fokus liegt hierbei auf der Bevölkerung im erwerbsfĂ€higen Alter (16 bis 65 Jahre). ErgĂ€nzend hierzu werden in einigen LĂ€ndern, so auch in Deutschland, die Kompetenzen im höheren Alter untersucht, was insbesondere vor dem Hintergrund der Verschiebung des Renteneintrittsalters in Deutschland wichtige Informationen ĂŒber den Kompetenzerhalt liefer

    Linking PIAAC Data to Individual Administrative Data: Insights from a German Pilot Project

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    Linking survey data to administrative data offers researchers many opportunities. In particular, it enables them to enrich survey data with additional information without increasing the burden on respondents. German PIAAC data on individual skills, for example, can be combined with administrative data on individual employment histories. However, as the linkage of survey data with administrative data records requires the consent of respondents, there may be bias in the linked dataset if only a subsample of respondents - for example, high-educated individuals - give their consent. The present chapter provides an overview of the pilot project about linking the German PIAAC data with individual administrative data. In a first step, we illustrate characteristics of the linkable datasets and describe the linkage process and its methodological challenges. In a second step, we provide an illustrative example of the use of the linked data and investigate how the skills assessed in PIAAC are associated with the linkage decision

    Alignment to the Actions of a Robot

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    Alignment is a phenomenon observed in human conversation: Dialog partners’ behavior converges in many respects. Such alignment has been proposed to be automatic and the basis for communicating successfully. Recent research on human–computer dialog promotes a mediated communicative design account of alignment according to which the extent of alignment is influenced by interlocutors’ beliefs about each other. Our work aims at adding to these findings in two ways. (a) Our work investigates alignment of manual actions, instead of lexical choice. (b) Participants interact with the iCub humanoid robot, instead of an artificial computer dialog system. Our results confirm that alignment also takes place in the domain of actions. We were not able to replicate the results of the original study in general in this setting, but in accordance with its findings, participants with a high questionnaire score for emotional stability and participants who are familiar with robots align their actions more to a robot they believe to be basic than to one they believe to be advanced. Regarding alignment over the course of an interaction, the extent of alignment seems to remain constant, when participants believe the robot to be advanced, but it increases over time, when participants believe the robot to be a basic version
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