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Assessing social, emotional, and intercultural competences of students and school staff. A […]
Müller, Fabian; Denk, Albert; Lubaway, Emily; Sälzer, Christine; Kozina, Ana; Vršnik Perše, Tina; […]
Journal Article
| In: Educational Research Review | 2020
39701 Endnote
Author(s):
Müller, Fabian; Denk, Albert; Lubaway, Emily; Sälzer, Christine; Kozina, Ana; Vršnik Perše, Tina; Rasmusson, Maria; Jugović, Ivana; Lund Nielsen, Birgitte; Rozman, Mojca; Ojsteršek, Aleš; Jurko, Svetlana
Title:
Assessing social, emotional, and intercultural competences of students and school staff. A systematic literature review
In:
Educational Research Review, 29 (2020) , S. 100304
DOI:
10.1016/j.edurev.2019.100304
URN:
urn:nbn:de:0111-pedocs-190670
URL:
https://nbn-resolving.org/urn:nbn:de:0111-pedocs-190670
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Englisch
Keywords:
Soziale Kompetenz; Emotionale Intelligenz; Interkulturelle Kompetenz; Bewertung; Messinstrument; Literaturbericht; Literaturrecherche; Systematic Review
Abstract:
The inclusion of social, emotional, and intercultural competences (SEI) in academic contexts has been supported by international organizations, such as the European Union, the United Nations, and the OECD, since the early 2000s. However, little information is yet available regarding the assessment of these competences. This paper shares the findings of a systematic literature review that produced an inventory of existing tools for the assessment of SEI competences of students and school staff. This is the first time assessment tools for these three competences have been concurrently reviewed. An interdisciplinary and international research team conducted this systematic literature review in the databases of ERIC, PsycInfo, PSYNDEX, Scopus, and Web of Science. Out of 13,963 articles, 149 assessment tools were examined and processed. In addition to the instrument analysis and a detailed description of the procedure, this article shows the basic theoretical concepts, as well as the limitations, of such a review. It was found that 1) the majority of the discovered instruments rely on self-reported survey and inventory data, 2) of the three competences, intercultural competence had the fewest relevant instruments, and 3) very few tools have been created to assess all three competences together. From this review, it is apparent that a wider variety of assessment tools (other than self-reports), as well as more comprehensive tools (e.g. qualitative analysis of vignettes) for the assessment of all three SEI competences, should be developed to meet international demand. The results of the literature review are available and freely accessible in the form of an assessment catalogue. (DIPF/Orig.)
DIPF-Departments:
Bildungsqualität und Evaluation
Within-person structures of daily cognitive performance differ from between-person structures of […]
Schmiedek, Florian; Lövdén, Martin; Oertzen, Timo von; Lindenberger, Ulman
Journal Article
| In: PeerJ | 2020
40427 Endnote
Author(s):
Schmiedek, Florian; Lövdén, Martin; Oertzen, Timo von; Lindenberger, Ulman
Title:
Within-person structures of daily cognitive performance differ from between-person structures of cognitive abilities
In:
PeerJ, 8 (2020) , S. e9290
DOI:
10.7717/peerj.9290
URN:
urn:nbn:de:0111-dipfdocs-232618
URL:
http://www.dipfdocs.de/volltexte/2022/23261/pdf/PeerJ_2020_Schmiedek_et_al_Within-person_structures_A.pdf
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Englisch
Keywords:
Kognitive Kompetenz; Struktur; Intelligenz; Individueller Unterschied; Arbeitgedächtnis; Längsschnittuntersuchung
Abstract:
Over a century of research on between-person differences has resulted in the consensus that human cognitive abilities are hierarchically organized, with a general factor, termed general intelligence or ''g,'' uppermost. Surprisingly, it is unknown whether this body of evidence is informative about how cognition isstructured within individuals. Using data from 101 young adults performing nine cognitive tasks on 100 occasions distributed oversix months, we find that thestructures of individuals' cognitive abilities vary among each other, and deviate greatly from the modal between-person structure. Working memory contributes the largestshare of common variance to both between- and withinperson structures, but the g factor is much less prominent within than between persons. We conclude that between-person structures of cognitive abilities cannot serve as a surrogate for within-person structures. To reveal the development and organization of human intelligence, individuals need to be studied over time.
DIPF-Departments:
Bildung und Entwicklung
NLP for student and teacher. Concept for an AI based information literacy tutoring system
Libbrecht, Paul; Declerck, Thierry; Schlippe, Tim; Mandl, Thomas; Schiffner, Daniel
Book Chapter
| Aus: Conrad, Stefan; Tiddi, Ilaria (Hrsg.): Proceedings of the CIKM 2020 workshops co-located with 29th International Conference on Information and Knowledge Management (CIKM 2020), Galway, Ireland, October 19-23, 2020 | Aachen: RWTH | 2020
40478 Endnote
Author(s):
Libbrecht, Paul; Declerck, Thierry; Schlippe, Tim; Mandl, Thomas; Schiffner, Daniel
Title:
NLP for student and teacher. Concept for an AI based information literacy tutoring system
In:
Conrad, Stefan; Tiddi, Ilaria (Hrsg.): Proceedings of the CIKM 2020 workshops co-located with 29th International Conference on Information and Knowledge Management (CIKM 2020), Galway, Ireland, October 19-23, 2020, Aachen: RWTH, 2020 (CEUR Workshop Proceedings, 2699), S. #24
URL:
http://ceur-ws.org/Vol-2699/paper24.pdf
Publication Type:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Intelligentes Tutorsystem; Medienkompetenz; Internet; World Wide Web; Online-Recherche; Künstliche Intelligenz; Kurs; Konzept
Abstract:
We present the concept of an intelligent system which combines web search for learning purposes and state-of-the-art natural language processing techniques. Our concept is described for the case of teaching information literacy, but has the potential to be applied to other courses or for independent acquisition of knowledge through web search. The concept supports both, students and teachers. Furthermore, the approach integrates issues like AI explainability, privacy of student information, assessment of the quality of retrieved information and automatic grading of student performance. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
Evaluation of the HAND in HAND programme. Documentation of the questionnaire scales
Roczen, Nina; Rožman, Mojca; Vieluf, Svenja; Lalla, Julia; Dahlström, Helene; […]
Research Data, Diagnostic Instruments
| Pedagoski Inštitut | 2020
39921 Endnote
Author(s):
Roczen, Nina; Rožman, Mojca; Vieluf, Svenja; Lalla, Julia; Dahlström, Helene; Lund Nielsen, Birgitte; Kozina, Ana; Müller, Fabian; Puzić, Saša
Title:
Evaluation of the HAND in HAND programme. Documentation of the questionnaire scales
Published:
Ljubljana: Pedagoski Inštitut, 2020
URL:
http://handinhand.si/wp-content/uploads/2020/02/Documentation_Questionnaire_Scales_ENG.pdf
Publication Type:
6. Forschungsdaten; Instrumente; Dokumentarische Aufbereitung (inkl. Skalenhandb.)
Language:
Englisch
Keywords:
Fragebogen; Skala; Schüler; Lehrer; Dokumentation; Projekt; Emotionale Intelligenz; Soziale Kompetenz; Selbstbewusstsein; Selbstmanagement; Soziales Bewusstsein; Soziale Kompetenz; Klassenklima; Interkulturelle Kompetenz; Multikulturalität; Antidiskriminierung
Abstract (english):
This overview documents the self-reported questionnaire scales used in the evaluation of the EU Erasmus+ project HAND in HAND. In addition to the questionnaire scales documented in the following, many other instruments such as other-reports, interviews, sociometric measures and vignettes were used for the evaluation of the project. General information on the HAND in HAND project, the complete questionnaires including the above mentioned measures and the evaluation report in which all measures and the respective results are described can be found on the HAND in HAND project page (http://handinhand.si/).
DIPF-Departments:
Bildungsqualität und Evaluation
Childhood intelligence, family background, and gender as drivers of socioeconomic success. The […]
Becker, Michael; Baumert, Jürgen; Tetzner, Julia; Maaz, Kai; Köller, Olaf
Journal Article
| In: Developmental Psychology | 2019
39833 Endnote
Author(s):
Becker, Michael; Baumert, Jürgen; Tetzner, Julia; Maaz, Kai; Köller, Olaf
Title:
Childhood intelligence, family background, and gender as drivers of socioeconomic success. The mediating role of education
In:
Developmental Psychology, 55 (2019) 10, S. 2231-2248
DOI:
10.1037/dev0000766
URL:
https://psycnet.apa.org/doiLanding?doi=10.1037%2Fdev0000766
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Englisch
Keywords:
Kind; Kindheit; Intelligenz; Einflussfaktor; Sozioökonomische Lage; Sozialer Status; Erwachsener; Soziale Herkunft; Familie; Eltern; Gender; Bildung; Bildungsgang; Kognitive Kompetenz; Bildungsbiografie; Berufserfolg; Einkommen; Frau; Geschlechtsspezifischer Unterschied; Teilzeitbeschäftigung; Längsschnittuntersuchung; Berlin; Mecklenburg-Vorpommern; Nordrhein-Westfalen; Sachsen-Anhalt; Deutschland
Abstract:
What drives socioeconomic success within a society? This study analyzes how late childhood intelligence, parental socioeconomic background, and gender relate to multiple dimensions of adult socioeconomic success (i.e., education, occupational status, and income). A particular focus is placed on education, which is considered as both an indicator of socioeconomic success and a mediator of the relationships with the other dimensions. Randomly sampled participants (N = 5,292) in a German prospective longitudinal study were assessed for the first time at age 12 years in 1991 and for the last time as adults in 2009-10. Comparison of the effects of childhood intelligence and parental socioeconomic background revealed childhood intelligence to be the more powerful predictor of the 3 dimensions of later adult socioeconomic success. Education was the strongest predictor of both later adult occupational status and later adult income, and mediated most of the effects of childhood intelligence and parental socioeconomic background on later adult occupational status and later adult income. A gender income gap was apparent, with men reporting higher income, even when childhood factors and education were controlled. Education barely mediated any gender differences, but family-related structural factors (i.e., working part time and having children) explained much of the gender gap in income. (DIPF/Orig.)
DIPF-Departments:
Struktur und Steuerung des Bildungswesens
Predicting the difficulty of exercise items for dynamic difficulty adaptation in adaptive language […]
Pandarova, Irina; Schmidt, Torben; Hartig, Johannes; Boubekki, Ahcène; Jones, Roger Dale; […]
Journal Article
| In: International Journal of Artificial Intelligence in Education | 2019
39472 Endnote
Author(s):
Pandarova, Irina; Schmidt, Torben; Hartig, Johannes; Boubekki, Ahcène; Jones, Roger Dale; Brefeld, Ulf
Title:
Predicting the difficulty of exercise items for dynamic difficulty adaptation in adaptive language tutoring
In:
International Journal of Artificial Intelligence in Education, 29 (2019) 3, S. 342-367
DOI:
10.1007/s40593-019-00180-4
URL:
https://link.springer.com/article/10.1007%2Fs40593-019-00180-4
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Englisch
Keywords:
Fremdsprachenunterricht; Englischunterricht; Digitale Medien; Künstliche Intelligenz; Tutorensystem; Grammatik; Aufgabe; Zweitsprachenerwerb; Problemlösen; Schwierigkeit; Prognose; Messung; Computerunterstütztes Lernen; Schüler; Schuljahr 09; Schuljahr 10; Papier-Bleistift-Test; Gymnasium; Integrierte Gesamtschule; Item-Response-Theory; Itemanalyse; Niedersachsen; Deutschland
Abstract:
Advances in computer technology and artificial intelligence create opportunities for developing adaptive language learning technologies which are sensitive to individual learner characteristics. This paper focuses on one form of adaptivity in which the difficulty of learning content is dynamically adjusted to the learner's evolving language ability. A pilot study is presented which aims to advance the (semi-)automatic difficulty scoring of grammar exercise items to be used in dynamic difficulty adaptation in an intelligent language tutoring system for practicing English tenses. In it, methods from item response theory and machine learning are combined with linguistic item analysis in order to calibrate the difficulty of an initial exercise pool of cued gap-filling items (CGFIs) and isolate CGFI features predictive of item difficulty. Multiple item features at the gap, context and CGFI levels are tested and relevant predictors are identified at all three levels. Our pilot regression models reach encouraging prediction accuracy levels which could, pending additional validation, enable the dynamic selection of newly generated items ranging from moderately easy to moderately difficult. The paper highlights further applications of the proposed methodology in the area of adapting language tutoring, item design and second language acquisition, and sketches out issues for future research. (DIPF/Orig.)
DIPF-Departments:
Bildungsqualität und Evaluation
Künstliche Intelligenz. Ihr Potenzial und der Mythos des Lehrkraft-Bots
Zehner, Fabian
Journal Article
| In: Schulmanagement-Handbuch | 2019
39057 Endnote
Author(s):
Zehner, Fabian
Title:
Künstliche Intelligenz. Ihr Potenzial und der Mythos des Lehrkraft-Bots
In:
Schulmanagement-Handbuch, (2019) 169, S. 6-30
URN:
urn:nbn:de:0111-pedocs-175610
URL:
http://nbn-resolving.org/urn:nbn:de:0111-pedocs-175610
Publication Type:
3b. Beiträge in weiteren Zeitschriften; praxisorientiert
Language:
Deutsch
Keywords:
Künstliche Intelligenz; Begriff; Computer; Spracherkennung; Data Mining; Codierung; Technologie; Innovation; Unterricht; Lernen; Unterstützung; Testauswertung; E-Learning; Bildungsforschung
Abstract:
[In diesem] Kapitel legt der Autor dar, was Künstliche Intelligenz ausmacht, in welchen Bereichen wir bereits mit Künstlicher Intelligenz konfrontiert sind und wie sie schon heute in unseren Alltag integriert sind. Darauffolgend wird erläutert, wie Künstliche Intelligenz im Bildungsbereich gewinnbringend eingesetzt werden kann. (DIPF/Orig.)
DIPF-Departments:
Bildungsqualität und Evaluation
Künstliche Intelligenz in der Bildung. Ihr Potenzial und der Mythos des Lehrkraftroboters
Zehner, Fabian
Journal Article
| In: Schulmanagement | 2019
39117 Endnote
Author(s):
Zehner, Fabian
Title:
Künstliche Intelligenz in der Bildung. Ihr Potenzial und der Mythos des Lehrkraftroboters
In:
Schulmanagement, 50 (2019) 2, S. 8-12
URN:
urn:nbn:de:0111-pedocs-175625
URL:
http://nbn-resolving.org/urn:nbn:de:0111-pedocs-175625
Publication Type:
3b. Beiträge in weiteren Zeitschriften; praxisorientiert
Language:
Deutsch
Keywords:
Datenanalyse; Anwendungsbeispiel; Künstliche Intelligenz; Bildung; Begriff; Definition; Computer; Daten; Roboter; Computerunterstütztes Lernen; Lernumgebung; Anpassung; Computerprogramm; Medieneinsatz; Einflussfaktor; Lernprozess; Fernunterricht; Kooperatives Lernen; Leistungsbeurteilung; Automatisierung
Abstract:
Was kann künstliche Intelligenz wirklich? Und wie können wir sie als gewinnbringend im Bildungssektor einsetzen? Sollten wir Angst davor haben, dass der Klassenlehrer unserer Enkelkinder in wenigen Jahrzehnten eduBot heißen könnte? dieser Beitrag beleuchtet anhand verschiedener Anwendungsbeispiele, welches Potenzial tatsächlich hinter künstlicher Intelligenz streckt. (DIPF/Orig.)
DIPF-Departments:
Bildungsqualität und Evaluation
Information literacy and its interplay with AI
Heck, Tamara; Weisel, Luzian; Kullmann, Sylvia
Book Chapter
| Aus: DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation (Hrsg.): Proceedings of Conference on Learning Information Literacy across the Globe, Frankfurt am Main, Germany, 10th of May 2019 | Frankfurt am Main: DIPF | Leibniz‐Institut für Bildungsforschung und Bildungsinformation | 2019
39306 Endnote
Author(s):
Heck, Tamara; Weisel, Luzian; Kullmann, Sylvia
Title:
Information literacy and its interplay with AI
In:
DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation (Hrsg.): Proceedings of Conference on Learning Information Literacy across the Globe, Frankfurt am Main, Germany, 10th of May 2019, Frankfurt am Main: DIPF | Leibniz‐Institut für Bildungsforschung und Bildungsinformation, 2019 , S. 2
URL:
https://informationliteracy.eu/conference/assets/papers/LILG-2019_Weisel-Heck_IL-interplay-AI.pdf
Publication Type:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Informationskompetenz; Technologie; Digitalisierung; Literalität; Künstliche Intelligenz; Lernprozess; Unterstützung
Abstract:
Information literacy (IL) [1] - and similarly digital literacy [2, 3] - want to convey skills to handle information and data, its use and the creation of new information and services. It emphasizes to teach competencies that enable learners to adapt to new environments and thus foster life-long learning. Artificial intelligence systems (AI) enter all kinds of areas, specifically the educational sector on all levels. For example, learning analytics and learning supportive services are established. Learners might see the opportunities of those services that promise to foster individual learning and skill development. At the same time, they need to develop novel kinds of literacy to understand and to apply AI. Thus, IL teaching and literacy frameworks need to consider an adaptation to recent changes that come with AI. Our contribution wants to start a discussion within the IL expert field on how IL teaching needs to prepare learners for the new era of AI. We will discuss if IL teaching frameworks need to be adapted to foster AI literacy and moreover, how IL teaching concept can benefit from developments in AI. Based on a scoping review in AI in education, we will introduce current ideas of AI technology and applications and discuss them in relation to IL teaching schemes [2]. Following up the dialog of our IL working group [4], we want to contribute to current discussions on AI in education and the potential influence it might have on IL teaching, and reversely. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
Das Konstrukt der computer- und informationsbezogenen Kompetenzen und das Konstrukt der Kompetenzen […]
Senkbeil, Martin; Eickelmann, Birgit; Vahrenhold, Jan; Goldhammer, Frank; Gerick, Julia; […]
Book Chapter
| Aus: Eickelmann, Birgit; Bos, Wilfried; Gerick, Julia; Goldhammer, Frank; Schaumburg, Heike; Schwippert, Knut; Senkbeil, Martin; Vahrenhold, Jan (Hrsg.): ICILS 2018 #Deutschland - Computer- und informationsbezogene Kompetenzen von Schülerinnen und Schülern im zweiten internationalen Vergleich und Kompetenzen im Bereich Computational Thinking | Münster: Waxmann | 2019
39805 Endnote
Author(s):
Senkbeil, Martin; Eickelmann, Birgit; Vahrenhold, Jan; Goldhammer, Frank; Gerick, Julia; Labusch, Amelie
Title:
Das Konstrukt der computer- und informationsbezogenen Kompetenzen und das Konstrukt der Kompetenzen im Bereich 'Computational Thinking' in ICILS 2018
In:
Eickelmann, Birgit; Bos, Wilfried; Gerick, Julia; Goldhammer, Frank; Schaumburg, Heike; Schwippert, Knut; Senkbeil, Martin; Vahrenhold, Jan (Hrsg.): ICILS 2018 #Deutschland - Computer- und informationsbezogene Kompetenzen von Schülerinnen und Schülern im zweiten internationalen Vergleich und Kompetenzen im Bereich Computational Thinking, Münster: Waxmann, 2019 , S. 79-111
URN:
urn:nbn:de:0111-pedocs-183215
URL:
http://nbn-resolving.org/urn:nbn:de:0111-pedocs-183215
Publication Type:
4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)
Language:
Deutsch
Keywords:
Anforderung; Informationsgesellschaft; Wissensgesellschaft; Konstruktion; Computerkenntnisse; Computernutzung; Informationskompetenz; Informationsverarbeitung; Informationsaustausch; Kommunikative Kompetenz; Kompetenz; Stufenmodell; Beispiel; Aufgabe; Informatik; Denken; Datenverarbeitung; Problemlösen; Modellierung; Algorithmus; Künstliche Intelligenz; Entwicklung; Konzeption; Schülerleistung; Schulleistung; Studie; Empirische Forschung; Bildungsforschung
Abstract:
[…] Die Rahmen- und Testkonzeption [der ICILS-Konstrukte der computer- und informationsbezogenen Kompetenzen, sowie derer im Bereich 'Computational Thinking'] werden im vorliegenden Kapitel entlang der internationalen Konzeption der Studie ausgeführt und erläutert. Die Konstrukte werden dazu zunächst jeweils hinsichtlich ihrer Relevanz für eine erfolgreiche Teilhabe an der Gesellschaft, u.a. hinsichtlich der Erfüllung beruflicher und persönlicher Zielstellungen, eingeordnet (Abschnitte 2.1 bzw. 3.1) und anschließend in den Abschnitten 2.2 und 3.2 inhaltlich auf der Grundlage des internationalen Forschungsdesigns der Studie konkretisiert. Daran anknüpfend wird das im Rahmen von ICILS 2018 geprüfte Kompetenzstufenmodell der computer- und informationsbezogenen Kompetenzen (Abschnitt 2.3) erläutert. Beide im Rahmen der Studie weiter- bzw. neuentwickelten theoretischen Konstrukte bilden im Rahmen von ICILS 2018 die zentrale Grundlage für die Entwicklung der Tests für Schülerinnen und Schüler in den jeweiligen Bereichen der computer- und informationsbezogenen Kompetenzen (Abschnitt 2.4) und der Kompetenzen im Bereich 'Computational Thinking' (Abschnitt 3.3). (DIPF/Orig.)
DIPF-Departments:
Bildungsqualität und Evaluation
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