36 research outputs found
Selbstbezogene Ziele im Zusammenhang mit dem Leisten und Lernen Hochschuldozierender
Motivation von Hochschuldozierenden kann durch selbstbezogene Ziele beschrieben werden und erscheint wichtig fĂŒr die Gestaltung guter Lehre (Leisten) und die Weiterentwicklung von Lehrkompetenzen (Lernen). Bislang ist kaum bekannt, wie die verschiedenen Zielklassen mit dem Leisten und Lernen Dozierender zusammenhĂ€ngen. Daher wurden 231 Dozierende befragt. Strukturgleichungsmodelle legten nahe, dass Lernziele und AnnĂ€herungsperformanzziele positiv und Vermeidungsperformanzziele negativ mit der LehrqualitĂ€t und der Anzahl besuchter Fortbildungen assoziiert waren. Aufbauend auf dieser Studie können wechselseitige Effekte selbstbezogener Ziele mit Leisten und Lernen Hochschuldozierender untersucht werden
Highly Sensitive Poisoning-Resistant Optical Carbon Dioxide Sensors for Environmental Monitoring
A new optical carbon dioxide sensor for environmental monitoring is presented. It combines a robust and long-term stable sensing material with a compact read-out device. The sensing material relies on a NIR pH indicator immobilized into ethyl cellulose along with a quaternary ammonium base. The perfluorinated polymer Hyflon AD 60 used as a protection layer significantly enhances the long-term and mechanical stability of the sensor foils, as well as the robustness against poisoning gases, e.g. hydrogen sulfide. The sensor can be stored under ambient conditions for more than six weeks, whereas sensors covered with silicone rubber deteriorate within one week under the same conditions. The complete sensor device is applicable after a three-point (re)calibration without a preconditioning step. The carbon dioxide production and consumption of the water plant Egeria densa was measured in the laboratory. Furthermore, results of profiling carbon dioxide measurements during a research cruise on the Baltic Sea at water depths up to 225 m are presented
A versatile optode system for oxygen, carbon dioxide, and pH measurements in seawater with integrated battery and logger
Herein, we present a small and versatile optode system with integrated battery and logger for monitoring of O-2, pH, and pCO(2) in seawater. Three sensing materials designed for seawater measurements are optimized with respect to dynamic measurement range and long-term stability. The spectral properties of the sensing materials were tailored to be compatible with a commercially available laboratory oxygen logger that was fitted into a pressure housing. Interchangeable sensor caps with appropriate "sensing chemistry" are conveniently attached to the end of the optical fiber. This approach allows using the same instrument for multiple analytes, which offers great flexibility and minimizes hardware costs. Applications of the new optode system were demonstrated by recording depth profiles for the three parameters during a research cruise in the Baltic Sea and by measuring surface water transects of pH. The optode was furthermore used to monitor the concentration of dissolved oxygen in a seagrass meadow in the Limfjord, Denmark, and sensor packages consisting of pO(2), pH, and pCO(2) were deployed in the harbors of Kiel, Germany, and Southampton, England, for 6 d. The measurements revealed that the system can resolve typical patterns in seawater chemistry related to spatial heterogeneities as well as temporal changes caused by biological and tidal activity
Future-ai:International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. In recent years, concerns have been raised about the technical, clinical, ethical and legal risks associated with medical AI. To increase real world adoption, it is essential that medical AI tools are trusted and accepted by patients, clinicians, health organisations and authorities. This work describes the FUTURE-AI guideline as the first international consensus framework for guiding the development and deployment of trustworthy AI tools in healthcare. The FUTURE-AI consortium was founded in 2021 and currently comprises 118 inter-disciplinary experts from 51 countries representing all continents, including AI scientists, clinicians, ethicists, and social scientists. Over a two-year period, the consortium defined guiding principles and best practices for trustworthy AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. The FUTURE-AI framework was established based on 6 guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 28 best practices were defined, addressing technical, clinical, legal and socio-ethical dimensions. The recommendations cover the entire lifecycle of medical AI, from design, development and validation to regulation, deployment, and monitoring. FUTURE-AI is a risk-informed, assumption-free guideline which provides a structured approach for constructing medical AI tools that will be trusted, deployed and adopted in real-world practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of medical AI
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Despite major advances in artificial intelligence (AI) for medicine and
healthcare, the deployment and adoption of AI technologies remain limited in
real-world clinical practice. In recent years, concerns have been raised about
the technical, clinical, ethical and legal risks associated with medical AI. To
increase real world adoption, it is essential that medical AI tools are trusted
and accepted by patients, clinicians, health organisations and authorities.
This work describes the FUTURE-AI guideline as the first international
consensus framework for guiding the development and deployment of trustworthy
AI tools in healthcare. The FUTURE-AI consortium was founded in 2021 and
currently comprises 118 inter-disciplinary experts from 51 countries
representing all continents, including AI scientists, clinicians, ethicists,
and social scientists. Over a two-year period, the consortium defined guiding
principles and best practices for trustworthy AI through an iterative process
comprising an in-depth literature review, a modified Delphi survey, and online
consensus meetings. The FUTURE-AI framework was established based on 6 guiding
principles for trustworthy AI in healthcare, i.e. Fairness, Universality,
Traceability, Usability, Robustness and Explainability. Through consensus, a
set of 28 best practices were defined, addressing technical, clinical, legal
and socio-ethical dimensions. The recommendations cover the entire lifecycle of
medical AI, from design, development and validation to regulation, deployment,
and monitoring. FUTURE-AI is a risk-informed, assumption-free guideline which
provides a structured approach for constructing medical AI tools that will be
trusted, deployed and adopted in real-world practice. Researchers are
encouraged to take the recommendations into account in proof-of-concept stages
to facilitate future translation towards clinical practice of medical AI
Human Practice. Digital Ecologies. Our Future. : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband
Erschienen bei: universi - UniversitÀtsverlag Siegen. - ISBN: 978-3-96182-063-4Aus dem Inhalt:
Track 1: Produktion & Cyber-Physische Systeme
Requirements and a Meta Model for Exchanging Additive Manufacturing Capacities
Service Systems, Smart Service Systems and Cyber- Physical SystemsâWhatâs the difference? Towards a Unified Terminology
Developing an Industrial IoT Platform â Trade-off between Horizontal and Vertical Approaches
Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory
Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case
Stakeholder-Analyse zum Einsatz IIoT-basierter Frischeinformationen in der Lebensmittelindustrie
Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis
Development of a matching platform for the requirement-oriented selection of cyber physical systems for SMEs
Track 2: Logistic Analytics
An Empirical Study of Customersâ Behavioral Intention to Use Ridepooling Services â An Extension of the Technology Acceptance Model
Modeling Delay Propagation and Transmission in Railway Networks
What is the impact of company specific adjustments on the acceptance and diffusion of logistic standards?
Robust Route Planning in Intermodal Urban Traffic
Track 3: Unternehmensmodellierung & Informationssystemgestaltung (Enterprise Modelling & Information Systems Design)
Work System Modeling Method with Different Levels of Specificity and Rigor for Different Stakeholder Purposes
Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement
Strategic Analysis in the Realm of Enterprise Modeling â On the Example of Blockchain-Based Initiatives for the Electricity Sector
Zwischenbetriebliche Integration in der Möbelbranche: Konfigurationen und Einflussfaktoren
Novicesâ Quality Perceptions and the Acceptance of Process Modeling Grammars
Entwicklung einer Definition fĂŒr Social Business Objects (SBO) zur Modellierung von Unternehmensinformationen
Designing a Reference Model for Digital Product Configurators
Terminology for Evolving Design Artifacts
Business Role-Object Specification: A Language for Behavior-aware Structural Modeling of Business Objects
Generating Smart Glasses-based Information Systems with BPMN4SGA: A BPMN Extension for Smart Glasses Applications
Using Blockchain in Peer-to-Peer Carsharing to Build Trust in the Sharing Economy
Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications
Track 4: Lern- und Wissensmanagement (e-Learning and Knowledge Management)
eGovernment Competences revisited â A Literature Review on necessary Competences in a Digitalized Public Sector
Say Hello to Your New Automated Tutor â A Structured Literature Review on Pedagogical Conversational Agents
Teaching the Digital Transformation of Business Processes: Design of a Simulation Game for Information Systems Education
Conceptualizing Immersion for Individual Learning in Virtual Reality
Designing a Flipped Classroom Course â a Process Model
The Influence of Risk-Taking on Knowledge Exchange and Combination
Gamified Feedback durch Avatare im Mobile Learning
Alexa, Can You Help Me Solve That Problem? - Understanding the Value of Smart Personal Assistants as Tutors for Complex Problem Tasks
Track 5: Data Science & Business Analytics
Matching with Bundle Preferences: Tradeoff between Fairness and Truthfulness
Applied image recognition: guidelines for using deep learning models in practice
Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting
Reading Between the Lines of Qualitative Data â How to Detect Hidden Structure Based on Codes
Online Auctions with Dual-Threshold Algorithms: An Experimental Study and Practical Evaluation
Design Features of Non-Financial Reward Programs for Online Reviews: Evaluation based on Google Maps Data
Topic Embeddings â A New Approach to Classify Very Short Documents Based on Predefined Topics
Leveraging Unstructured Image Data for Product Quality Improvement
Decision Support for Real Estate Investors: Improving Real Estate Valuation with 3D City Models and Points of Interest
Knowledge Discovery from CVs: A Topic Modeling Procedure
Online Product Descriptions â Boost for your Sales?
EntscheidungsunterstĂŒtzung durch historienbasierte Dienstreihenfolgeplanung mit Pattern
A Semi-Automated Approach for Generating Online Review Templates
Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization
Bedeutung von Predictive Analytics fĂŒr den theoretischen Erkenntnisgewinn in der IS-Forschung
Track 6: Digitale Transformation und Dienstleistungen
Heuristic Theorizing in Software Development: Deriving Design Principles for Smart Glasses-based Systems
Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey
Taxonomy of Digital Platforms: A Platform Architecture Perspective
Value of Star Players in the Digital Age
Local Shopping Platforms â Harnessing Locational Advantages for the Digital Transformation of Local Retail Outlets: A Content Analysis
A Socio-Technical Approach to Manage Analytics-as-a-Service â Results of an Action Design Research Project
Characterizing Approaches to Digital Transformation: Development of a Taxonomy of Digital Units
Expectations vs. Reality â Benefits of Smart Services in the Field of Tension between Industry and Science
Innovation Networks and Digital Innovation: How Organizations Use Innovation Networks in a Digitized Environment
Characterising Social Reading Platformsâ A Taxonomy-Based Approach to Structure the Field
Less Complex than Expected â What Really Drives IT Consulting Value
Modularity Canvas â A Framework for Visualizing Potentials of Service Modularity
Towards a Conceptualization of Capabilities for Innovating Business Models in the Industrial Internet of Things
A Taxonomy of Barriers to Digital Transformation
Ambidexterity in Service Innovation Research: A Systematic Literature Review
Design and success factors of an online solution for cross-pillar pension information
Track 7: IT-Management und -Strategie
A Frugal Support Structure for New Software Implementations in SMEs
How to Structure a Company-wide Adoption of Big Data Analytics
The Changing Roles of Innovation Actors and Organizational Antecedents in the Digital Age
Bewertung des Kundennutzens von Chatbots fĂŒr den Einsatz im Servicedesk
Understanding the Benefits of Agile Software Development in Regulated Environments
Are Employees Following the Rules? On the Effectiveness of IT Consumerization Policies
Agile and Attached: The Impact of Agile Practices on Agile Team Membersâ Affective Organisational Commitment
The Complexity Trap â Limits of IT Flexibility for Supporting Organizational Agility in Decentralized Organizations
Platform Openness: A Systematic Literature Review and Avenues for Future Research
Competence, Fashion and the Case of Blockchain
The Digital Platform Otto.de: A Case Study of Growth, Complexity, and Generativity
Track 8: eHealth & alternde Gesellschaft
Security and Privacy of Personal Health Records in Cloud Computing Environments â An Experimental Exploration of the Impact of Storage Solutions and Data Breaches
Patientenintegration durch Pfadsysteme
Digitalisierung in der StressprĂ€vention â eine qualitative Interviewstudie zu Nutzenpotenzialen
User Dynamics in Mental Health Forums â A Sentiment Analysis Perspective
Intent and the Use of Wearables in the Workplace â A Model Development
Understanding Patient Pathways in the Context of Integrated Health Care Services - Implications from a Scoping Review
Understanding the Habitual Use of Wearable Activity Trackers
On the Fit in Fitness Apps: Studying the Interaction of Motivational Affordances and Usersâ Goal Orientations in Affecting the Benefits Gained
Gamification in Health Behavior Change Support Systems - A Synthesis of Unintended Side Effects
Investigating the Influence of Information Incongruity on Trust-Relations within Trilateral Healthcare Settings
Track 9: Krisen- und KontinuitÀtsmanagement
Potentiale von IKT beim Ausfall kritischer Infrastrukturen: Erwartungen, Informationsgewinnung und Mediennutzung der Zivilbevölkerung in Deutschland
Fake News Perception in Germany: A Representative Study of Peopleâs Attitudes and Approaches to Counteract Disinformation
Analyzing the Potential of Graphical Building Information for Fire Emergency Responses: Findings from a Controlled Experiment
Track 10: Human-Computer Interaction
Towards a Taxonomy of Platforms for Conversational Agent Design
Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis
Self-Tracking and Gamification: Analyzing the Interplay of Motivations, Usage and Motivation Fulfillment
Erfolgsfaktoren von Augmented-Reality-Applikationen: Analyse von Nutzerrezensionen mit dem Review-Mining-Verfahren
Designing Dynamic Decision Support for Electronic Requirements Negotiations
Who is Stressed by Using ICTs? A Qualitative Comparison Analysis with the Big Five Personality Traits to Understand Technostress
Walking the Middle Path: How Medium Trade-Off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents
Theory-Based Affordances of Utilitarian, Hedonic and Dual-Purposed Technologies: A Literature Review
Eliciting Customer Preferences for Shopping Companion Apps: A Service Quality Approach
The Role of Early User Participation in Discovering Software â A Case Study from the Context of Smart Glasses
The Fluidity of the Self-Concept as a Framework to Explain the Motivation to Play Video Games
Heart over Heels? An Empirical Analysis of the Relationship between Emotions and Review Helpfulness for Experience and Credence Goods
Track 11: Information Security and Information Privacy
Unfolding Concerns about Augmented Reality Technologies: A Qualitative Analysis of User Perceptions
To (Psychologically) Own Data is to Protect Data: How Psychological Ownership Determines Protective Behavior in a Work and Private Context
Understanding Data Protection Regulations from a Data Management Perspective: A Capability-Based Approach to EU-GDPR
On the Difficulties of Incentivizing Online Privacy through Transparency: A Qualitative Survey of the German Health Insurance Market
What is Your Selfie Worth? A Field Study on Individualsâ Valuation of Personal Data
Justification of Mass Surveillance: A Quantitative Study
An Exploratory Study of Risk Perception for Data Disclosure to a Network of Firms
Track 12: Umweltinformatik und nachhaltiges Wirtschaften
KommunikationsfĂ€den im Nadelöhr â Fachliche Prozessmodellierung der Nachhaltigkeitskommunikation am Kapitalmarkt
Potentiale und Herausforderungen der Materialflusskostenrechnung
Computing Incentives for User-Based Relocation in Carsharing
Sustainabilityâs Coming Home: Preliminary Design Principles for the Sustainable Smart District
Substitution of hazardous chemical substances using Deep Learning and t-SNE
A Hierarchy of DSMLs in Support of Product Life-Cycle Assessment
A Survey of Smart Energy Services for Private Households
Door-to-Door Mobility Integrators as Keystone Organizations of Smart Ecosystems: Resources and Value Co-Creation â A Literature Review
Ein EntscheidungsunterstĂŒtzungssystem zur ökonomischen Bewertung von Mieterstrom auf Basis der Clusteranalyse
Discovering Blockchain for Sustainable Product-Service Systems to enhance the Circular Economy
Digitale RĂŒckverfolgbarkeit von Lebensmitteln: Eine verbraucherinformatische Studie
Umweltbewusstsein durch audiovisuelles Content Marketing? Eine experimentelle Untersuchung zur Konsumentenbewertung nachhaltiger Smartphones
Towards Predictive Energy Management in Information Systems: A Research Proposal
A Web Browser-Based Application for Processing and Analyzing Material Flow Models using the MFCA Methodology
Track 13: Digital Work - Social, mobile, smart
On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work
The Potential of Augmented Reality for Improving Occupational First Aid
Prevent a Vicious Circle! The Role of Organizational IT-Capability in Attracting IT-affine Applicants
Good, Bad, or Both? Conceptualization and Measurement of Ambivalent User Attitudes Towards AI
A Case Study on Cross-Hierarchical Communication in Digital Work Environments
âShow Me Your People Skillsâ - Employing CEO Branding for Corporate Reputation Management in Social Media
A Multiorganisational Study of the Drivers and Barriers of Enterprise Collaboration Systems-Enabled Change
The More the Merrier? The Effect of Size of Core Team Subgroups on Success of Open Source Projects
The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance
Digital Feedback for Digital Work? Affordances and Constraints of a Feedback App at InsurCorp
The Effect of Marker-less Augmented Reality on Task and Learning Performance
Antecedents for Cyberloafing â A Literature Review
Internal Crowd Work as a Source of Empowerment - An Empirical Analysis of the Perception of Employees in a Crowdtesting Project
Track 14: GeschÀftsmodelle und digitales Unternehmertum
Dividing the ICO Jungle: Extracting and Evaluating Design Archetypes
Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services
Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective
Business Model Innovation and Stakeholder: Exploring Mechanisms and Outcomes of Value Creation and Destruction
Business Models for Internet of Things Platforms: Empirical Development of a Taxonomy and Archetypes
Revitalizing established Industrial Companies: State of the Art and Success Principles of Digital Corporate Incubators
When 1+1 is Greater than 2: Concurrence of Additional Digital and Established Business Models within Companies
Special Track 1: Student Track
Investigating Personalized Price Discrimination of Textile-, Electronics- and General Stores in German Online Retail
From Facets to a Universal Definition â An Analysis of IoT Usage in Retail
Is the Technostress Creators Inventory Still an Up-To-Date Measurement Instrument? Results of a Large-Scale Interview Study
Application of Media Synchronicity Theory to Creative Tasks in Virtual Teams Using the Example of Design Thinking
TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter
Application of Process Mining Techniques to Support Maintenance-Related Objectives
How Voice Can Change Customer Satisfaction: A Comparative Analysis between E-Commerce and Voice Commerce
Business Process Compliance and Blockchain: How Does the Ethereum Blockchain Address Challenges of Business Process Compliance?
Improving Business Model Configuration through a Question-based Approach
The Influence of Situational Factors and Gamification on Intrinsic Motivation and Learning
Evaluation von ITSM-Tools fĂŒr Integration und Management von Cloud-Diensten am Beispiel von ServiceNow
How Software Promotes the Integration of Sustainability in Business Process Management
Criteria Catalog for Industrial IoT Platforms from the Perspective of the Machine Tool Industry
Special Track 3: Demos & Prototyping
Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype
Application-oriented robotics in nursing homes
Augmented Reality for Set-up Processe
Mixed Reality for supporting Remote-Meetings
Gamification zur Motivationssteigerung von Werkern bei der Betriebsdatenerfassung
Automatically Extracting and Analyzing Customer Needs from Twitter: A âNeedminingâ Prototype
GaNEsHA: Opportunities for Sustainable Transportation in Smart Cities
TUCANA: A platform for using local processing power of edge devices for building data-driven services
Demonstrator zur Beschreibung und Visualisierung einer kritischen Infrastruktur
Entwicklung einer alltagsnahen persuasiven App zur Bewegungsmotivation fĂŒr Ă€ltere Nutzerinnen und Nutzer
A browser-based modeling tool for studying the learning of conceptual modeling based on a multi-modal data collection approach
Exergames & Dementia: An interactive System for People with Dementia and their Care-Network
Workshops
Workshop Ethics and Morality in Business Informatics (Workshop Ethik und Moral in der Wirtschaftsinformatik â EMoWIâ19)
Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates
Report of the Workshop on Concepts and Methods of Identifying Digital Potentials in Information Management
Control of Systemic Risks in Global Networks - A Grand Challenge to Information Systems Research
Die Mitarbeiter von morgen - Kompetenzen kĂŒnftiger Mitarbeiter im Bereich Business Analytics
Digitaler Konsum: Herausforderungen und Chancen der Verbraucherinformati
Improvement in health and empowerment of families as a result of watershed management in a tribal area in India - a qualitative study
Antwortsicherheiten als MaĂ fĂŒr die metakognitive Ăberwachung bei Grundschulkindern? (EingeschrĂ€nkte)ValiditĂ€t bei der Vorhersage schulischer Leistungen und die mediierende Rolle des Selbstkonzepts
Stankov and Lee (2008) have shown confidence scores to have unique predictive effects on achievement criteria when the corresponding test scores are controlled. These findings suggest that confidence scores might provide valid indicators of metacognitive monitoring. However, as confidence is related to self-concept (Kröner u. Biermann, 2007), it is possible that the unique predictive effects disappear when self-concept is also controlled. This study examines whether average confidence regarding performance on the items of a spelling test showed incremental validity above and beyond the corresponding test scores in predicting academic achievement with and without control for verbal self-concept. N = 414 10-year-olds from 22 fourth grade classes in Bavarian primary schools participated in the research project. Studentsâ confidence ratings were shown to correlate with corresponding test scores. Furthermore, when test scores were controlled, average confidence scores had unique predictive effects on academic achievement. When both test scores and self-concept were controlled, however, there was no substantial unique predictive effect of confidence. Thus, the predictive power of primary studentsâ confidence ratings may result from their correlation with self-concept. (DIPF/Orig.)Wie Stankov und Lee (2008) zeigten, wiesen Antwortsicherheiten inkrementelle ValiditĂ€t in Bezug auf externe Leistungskriterien auch nach Kontrolle der Leistung auf, anhand der die Antwortsicherheiten erhoben wurden. Dies lĂ€sst sich so interpretieren, dass Antwortsicherheiten valide Indikatoren fĂŒr die metakognitive Ăberwachung sind. Da die Antwortsicherheiten aber mit dem Selbstkonzept korreliert sind (Kröner u. Biermann, 2007), könnte ihre inkrementelle ValiditĂ€t verschwinden, wenn zusĂ€tzlich Effekte des Selbstkonzepts kontrolliert werden. Dies wurde in der vorliegenden Studie untersucht, indem aggregierte Antwortsicherheiten und Testleistungen in einem Rechtschreibtest als PrĂ€diktoren schulischer Leistungen verwendet wurden, und zwar mit und ohne Kontrolle des Selbstkonzepts im Fach Deutsch. Es nahmen N = 414 zehnjĂ€hrige Kinder aus 22 vierten Klassen bayerischer Grundschulen an dieser Studie teil. Es zeigte sich, dass auch bei den untersuchten Grundschulkindern Antwortsicherheiten mit der jeweiligen Testleistung korrelierten. AuĂerdem wiesen sie inkrementelle ValiditĂ€t in Bezug auf schulische Leistungen auf, und zwar auch bei Kontrolle der Rechtschreibleistung. Wenn jedoch darĂŒber hinaus Effekte des Selbstkonzepts kontrolliert wurden, verschwand dieser Effekt. Dies deutet darauf hin, dass der ErklĂ€rungswert von Antwortsicherheiten fĂŒr externe Leistungskriterien auf ihre Korrelation mit dem Selbstkonzept zurĂŒckgeht. (DIPF/Orig.
Choirboys and other academic-track students - determinants of musical activities at academic-track schools with different profiles
Wovon hĂ€ngt es ab, wie musikalisch aktiv Gymnasiastinnen und Gymnasiasten sind? Der Theorie des geplanten Verhaltens zufolge sollten der intrinsische Wert als Aspekt der Einstellung, die musikalische AffinitĂ€t von Freunden und Eltern als Aspekt der subjektiven Norm und das musikalische Selbstkonzept als Aspekt der wahrgenommenen Verhaltenskontrolle relevante PrĂ€diktoren musikalischer AktivitĂ€ten sein. Ebenfalls relevant dĂŒrfte die Musikbezogenheit des Profils der besuchten Schule sein. Dies wurde anhand von N = 2016 musikalisch aktiven Gymnasiasten ĂŒberprĂŒft. Mittels Mehrgruppen-Strukturgleichungsmodellen wurden Jungen an nicht ausgeprĂ€gt musischen Gymnasien als Referenzgruppe mit MĂ€dchen derartiger Gymnasien und mit Jungen an ausgeprĂ€gt musischen Gymnasien verglichen. ErwartungsgemÀà wiesen die Jungen an ausgeprĂ€gt musischen Gymnasien gegenĂŒber der Referenzgruppe im Mittel höhere musikalische AffinitĂ€ten von Freunden und Eltern und umfangreichere musikalische AktivitĂ€ten auf. Innerhalb der Gruppen zeigten sich uneinheitliche Effekte der PrĂ€diktoren. Implikationen fĂŒr Effekte von Schulprofilen auf die Förderung musikalischer AktivitĂ€ten werden diskutiert. (DIPF/Orig.)What determines the musical activities of high school students? According to the theory of planned behavior, attitudes (including intrinsic values), subjective norms (including the musical affinity of friends and parents), and perceived behavioral control (including musical self-concept) are likely predictors. Attending a high school with a musical profile should also prove relevant. These hypotheses were tested using data from a sample of N = 2,016 musically active academic track students. In multiple-group structural equation models, a reference group of boys at schools without a musical profile was compared with girls at the same schools and with boys at schools with a distinctive musical profile. As expected, boys at schools with a musical profile reported that their friends and parents had a greater affinity for music and themselves engaged in more musical activities. Within groups, effects of predictors were mixed. Implications for how school profiles can foster musical activities are discussed. (DIPF/Orig.
Confidence in elementary school students: A measure for self-concept?
In einer Serie von vier empirischen Studien wurde untersucht, ob die Antwortsicherheit in einem Rechtschreibtest als MaĂ fĂŒr das Selbstkonzept im Fach Deutsch von GrundÂŹschulkindern verwendet werden kann. Dazu wurden in Studie 1 bis 3 die ZusammenhĂ€nge zwischen der Antwortsicherheit, dem Selbstkonzept und der Leistung quer- und lĂ€ngsÂŹschnittlich untersucht. Dabei zeigte sich konsistent, dass die Antwortsicherheit und das Selbstkonzept miteinander sowie beide Variablen wiederum mit der Leistung korrelieren. Substanzielle inkrementelle Effekte in Bezug auf externe Leistungskriterien bei Kontrolle der Testleistung â wie sie fĂŒr das Selbstkonzept bekannt sind â blieben fĂŒr die AntwortÂŹsicherheit jedoch unerwarteterweise aus. Bei den lĂ€ngsschnittlichen Auswertungen zeigten sich â bei einer Replikation der bekannten wechselseitigen Effekte zwischen Selbstkonzept und Leistung â Effekte der Leistung auf die Antwortsicherheit, nicht jedoch von der Antwortsicherheit auf die Leistung. Insgesamt sprechen diese Ergebnisse gegen eine starke Ăberschneidung der Antwortsicherheit mit dem Selbstkonzept in Deutsch. Deshalb erfolgte in der vierten Studie der Vergleich der Antwortsicherheit sowohl mit dem Selbstkonzept in Deutsch als auch mit dem auf das Rechtschreiben bezogenen, aufgabenspezifischen Selbstkonzept. Dabei zeigten sich zwar inkrementelle Effekte in Bezug auf die Leistung fĂŒr das Selbstkonzept in Deutsch, aber weder fĂŒr das aufgabenspezifische Selbstkonzept noch fĂŒr die Antwortsicherheit. Dieses Ergebnis sowie eine stĂ€rkere Korrelation der Antwortsicherheit mit dem aufgabenspezifischen Selbstkonzept im Vergleich mit dem Selbstkonzept in Deutsch deuten darauf hin, dass die Antwortsicherheit möglicherweise als MaĂ fĂŒr das aufgabenspezifische Selbstkonzept von Grundschulkindern dienen könnte. Sollte sich dies in zukĂŒnftigen Studien bestĂ€tigen, könnten LehrkrĂ€fte die Antwortsicherheit zur Diagnostik aufgabenspezifischer Selbstkonzepte sowie zur ĂberprĂŒfung der Angemessenheit der SelbsteinschĂ€tzung von Schulkindern einsetzen.In a series of four empirical studies, the mean confidence of elementary school students in a German spelling test was investigated in order to determine whether that could be used as a measure of their verbal self-concept. Relations between confidence scores, self-concept and achievement were examined cross-sectionally and longitudinally in the first three studies. A correlation between confidence and self-concept and a correlation of both variables with achievement was observed to be consistent. Unique effects on achievement criteria when the corresponding accuracy scores were controlled, an established result for self-concept, were surprisingly missing for confidence scores. By investigating cross-lagged effects, a confirmation of known effects between self-concept and achievement was successful: but no effects of confidence on achievement were found between confidence and achievement. These results are contrary to a strong overlap of confidence scores with verbal self-concept. Thus, the relation of confidence scores and verbal self-concept was compared with the relation of confidence scores and task-specific self-concept in spelling in the fourth study. Unique effects on achievement criteria when corresponding accuracy scores were controlled were only present for verbal self-concept, but not for task-specific self-concept and confidence scores. This result in addition to the stronger correlation between confidence scores and task-specific self-concept in comparison with confidence scores and verbal self-concept indicates that confidence scores might be an indicator of task-specific self-concept in elementary school students. Should these results be confirmed in future studies, teachers could apply confidence scores for diagnosing task-specific self-concepts and also for examining studentsâ calibration