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A model of online reading engagement. Linking engagement, navigation, and performance in digital […]
Naumann, Johannes
Journal Article
| In: Computers in Human Behavior | 2015
35613 Endnote
Author(s):
Naumann, Johannes
Title:
A model of online reading engagement. Linking engagement, navigation, and performance in digital reading
In:
Computers in Human Behavior, 53 (2015) , S. 263-277
DOI:
10.1016/j.chb.2015.06.051
URN:
urn:nbn:de:0111-pedocs-179745
URL:
http://nbn-resolving.org/urn:nbn:de:0111-pedocs-179745
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Englisch
Keywords:
Digitale Medien; Hypertext; Internet; Lesekompetenz; Lesen; Leseverhalten; Logdatei; Mediennutzung; Metaanalyse; Modell; Motivation; Online; PISA <Programme for International Student Assessment>; Schüler; Soziales Netzwerk; World wide web 2.0
Abstract:
A model of online reading engagement is outlined. This model proposes that online reading engagement predicts dedication in digital reading. Dedication in digital reading according to the model is reflected in task-adaptive navigation, and task-adaptive navigation predicts digital reading performance over and above print reading skill. Information engagement is assumed to positively predict task-adaptive navigation, while social engagement is assumed to negatively predict task-adaptive navigation. These hypotheses were tested using OECD PISA 2009 Digital Reading Assessment data from 17 countries and economies (N = 29,395). Individual task responses served as the primary unit of analysis. Linear mixed models were used to predict navigation behavior from the interaction of information and social online reading engagement with navigation demands. High information engagement was associated with more task-adaptive navigation behavior, as shown by significant positive interactions between information engagement and tasks' navigation demands. In contrast, high social engagement was associated with less adaptive navigation behavior, as shown by negative interactions between social engagement and navigation demands. Generalized linear mixed models were used to predict task performance by the interaction of navigation demands and navigation behavior. Adaptive navigation behavior predicted digital reading task performance, as shown by significant interactions between navigation behavior and navigation demands. These results are in support of the proposed model of online reading engagement. (DIPF/Orig.)
DIPF-Departments:
Bildungsqualität und Evaluation
Provisioning strong and weak OER: Requirements of open informational ecosystems
Heinen, Richard; Kerres, Michael; Schindler, Christoph; Rittberger, Marc
Book Chapter
| Aus: Open Education Consortium (Hrsg.): Proceedings of Open Education Global 2015: Innovation and Entrepreneurship, Banff, Canada | Concord; MA: Open Education Consortium | 2015
35570 Endnote
Author(s):
Heinen, Richard; Kerres, Michael; Schindler, Christoph; Rittberger, Marc
Title:
Provisioning strong and weak OER: Requirements of open informational ecosystems
In:
Open Education Consortium (Hrsg.): Proceedings of Open Education Global 2015: Innovation and Entrepreneurship, Banff, Canada, Concord; MA: Open Education Consortium, 2015 , S. 1-7
URN:
urn:nbn:de:0111-pedocs-182418
URL:
http://nbn-resolving.org/urn:nbn:de:0111-pedocs-182418
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Deutschland; Infrastruktur; Lehrer; Lehrmittel; Lernmittel; Netzwerk; Open Access; Open Education; Verzeichnis
Abstract:
This paper argues for a federated OER reference infrastructure as an open ecosystem which offers the chance to align possible capacities of OER with various actors and practices in educational systems. A key challenge is how a reference infrastructure can help teachers to find or remix OER appropriate to their needs. Therefore, a federated reference infrastructure as an open ecosystem is described and strong and weak OER are outlined, which specifies the affordances of such a system. A federated and networked reference infrastructure in Germany is given as a use case. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
Social media usage in education related web search. An analysis of the information behavior of […]
Löwe Kiedrowski, Kim von; Mahrholz, Nadine; Griesbaum, Joachim; Rittberger, Marc
Book Chapter
| Aus: Pehar, Franjo;Schlögl, Christian;Wolff, Christian (Hrsg.): Re:inventing Information Science in the networked society: Proceedings of the 14th International Symposium on Information Science (ISI 2015) | Glückstadt: Hülsbusch | 2015
35456 Endnote
Author(s):
Löwe Kiedrowski, Kim von; Mahrholz, Nadine; Griesbaum, Joachim; Rittberger, Marc
Title:
Social media usage in education related web search. An analysis of the information behavior of students of education related study paths in Germany
In:
Pehar, Franjo;Schlögl, Christian;Wolff, Christian (Hrsg.): Re:inventing Information Science in the networked society: Proceedings of the 14th International Symposium on Information Science (ISI 2015), Glückstadt: Hülsbusch, 2015 (Schriften zu Informationswissenschaft, 66), S. 264-277
DOI:
10.5281/zenodo.17946
URL:
https://zenodo.org/record/17946?ln=en
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Befragung; Deutschland; Empirische Untersuchung; Evaluation; Fachportal; Information; Information Retrieval; Informationsverhalten; Kommunikation; Lehramtsstudent; Mediennutzung; Pädagogik; Qualität; Soziales Netzwerk; Soziale Software; Student; Wiki; Wissensmanagement; World wide web 2.0
Abstract:
This paper discusses social media usage and quality evaluation for education related information seeking. To address this, we conducted a focus group study and an online survey with students enrolled in education related study paths. Altogether, results show that social media and classic or standard information resources do not compete but rather complement each other. Social media are primarily consulted in early phases of the information seeking process and for communication and knowledge management purposes. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
EQAVET-Netzwerk
Achenbach, Michaela
Working Papers
| 2015
35885 Endnote
Author(s):
Achenbach, Michaela
Title:
EQAVET-Netzwerk
Published:
Frankfurt am Main: Deutsches Institut für Internationale Pädagogische Forschung, 2015
URL:
http://www.bildungsserver.de/EQAVET-Netzwerk-11352.html
Publication Type:
5. Arbeits- und Diskussionspapiere; Online Dossiers (DBS)
Language:
Deutsch
Keywords:
Berufsausbildung; Berufsbildung; Europäische Union; Internationale Zusammenarbeit; Netzwerk; Qualitätssicherung; Quellensammlung; Weiterbildung
DIPF-Departments:
Informationszentrum Bildung
Petri Nets and Software Engineering 2014. Proceedings of the International Workshop on Petri Nets […]
Moldt, Daniel; Rölke, Heiko (Hrsg.)
Compilation Book
| Hamburg: CEUR Workshop Proceedings | 2014
34661 Endnote
Editor(s)
Moldt, Daniel; Rölke, Heiko
Title:
Petri Nets and Software Engineering 2014. Proceedings of the International Workshop on Petri Nets and Software Engineering (PNSE 2014)
Published:
Hamburg: CEUR Workshop Proceedings, 2014
URN:
urn:nbn:de:0074-1160-3
URL:
http://ceur-ws.org/Vol-1160/
Publication Type:
2. Herausgeberschaft; Sammelband (keine besondere Kategorie)
Language:
Englisch
Keywords:
Computer; Design; Informatik; Konferenz; Netzwerk; Software; System
Abstract:
These are the proceedings of the International Workshop on Petri Nets and Software Engineering (PNSE'14) in Tunis, Tunisia, June 23-24, 2014. It is aco-locatedeventof Petri Nets 2014, the35th international conference on Applications and Theory of Petri Nets and Concurrency and ACSD 2014, the 14th International Conference on Application of Concurrency to System Design.
Neue Forschungswerkzeuge in der Historischen Bildungsforschung. Die virtuelle Forschungsumgebung […]
Stisser, Anna; Hild, Anne; Ell, Basil; Schindler, Christoph
Journal Article
| In: Jahrbuch für Historische Bildungsforschung | 2014
34300 Endnote
Author(s):
Stisser, Anna; Hild, Anne; Ell, Basil; Schindler, Christoph
Title:
Neue Forschungswerkzeuge in der Historischen Bildungsforschung. Die virtuelle Forschungsumgebung SMW-CorA für die kollaborative Analyse und Auswertung umfangreicher digitalisierter Quellen
In:
Jahrbuch für Historische Bildungsforschung, 19 (2014) , S. 305-325
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Deutsch
Keywords:
Bildungsforschung; Bildungsgeschichte; Codierung; Daten; Digitalisierung; Forscher; Kooperation; Lexikon; MediaWiki; Metadaten; Netzwerk; Qualitätssicherung; Quelle; Semantic Web; Text
Abstract:
Die Autoren stellen eine webbasierte Forschungsumgebung für die kollaborative, kooperative Analyse und Auswertung umfangreicher digitalisierter Quellen vor. […] "Für die Entwicklung solcher Forschungsumgebungen wird die Zusammenarbeit von Entwicklerinnen und ForscherInnen und der Bezug auf ganz konkrete Forschungsinteressen und Datensätze als notwendig erachtet, um konkreten Bedürfnissen und Anforderungen gerecht werden zu können. Hier setzt die Entwicklung einer Virtuellen Forschungsumgebung auf Basis von Semantic MediaWiki (SMW) für die kollaborative Analyse von umfangreichen digitalisierten Textkorpora an, die im Folgenden vorgestellt werden soll."
DIPF-Departments:
Informationszentrum Bildung
Information behavior in the Social Web. An overview of the German Educational Domain
Griesbaum, Joachim; Mahrholz, Nadine; Bertram, Jens; Pietras, Nadine; Rittberger, Marc
Book Chapter
| Aus: iSchools (Hrsg.): iConference 2014 Proceedings | Chicago; IL: iSchools | 2014
34336 Endnote
Author(s):
Griesbaum, Joachim; Mahrholz, Nadine; Bertram, Jens; Pietras, Nadine; Rittberger, Marc
Title:
Information behavior in the Social Web. An overview of the German Educational Domain
In:
iSchools (Hrsg.): iConference 2014 Proceedings, Chicago; IL: iSchools, 2014 , S. 356-371
DOI:
10.9776/14113
URL:
http://hdl.handle.net/2142/47297
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Analyse; Bildung; Bildungsangebot; Deutschland; Empirische Forschung; Gemeinschaft; Information; Informationsverhalten; Kommunikation; Medienangebot; Nutzerverhalten; Nutzung; Online; Qualität; Soziales Netzwerk; Soziale Software; Web log; World wide web 2.0
Abstract:
This paper explores participative Social Information Behavior in the educational domain. The goal is to capture a picture of current information practices in the Social Web. The focus is on the "places" and the scale of the Social Web in the domain, the communication dynamics and structure of communities and the specificities, quality, pragmatics and success of communication processes. The paper describes the concept and current implementation status of an online analysis approach and system that tries to answer these questions. Furthermore, first empirical results are presented. Data indicates that participative Social Information Behavior is of relevance in the domain: The volume of openly accessible user-generated content is impressive. The basic characteristics of analyzed forums suggest that such websites resemble sustainable knowledge building communities. Pre-tests regarding the analysis of communication processes denote that generated content can often be seen as a valuable information resource.
DIPF-Departments:
Informationszentrum Bildung
Semi-supervised neural networks for nested named entity recognition
Nam, Jinseok
Book Chapter
| Aus: Faaß, Getrud;Ruppenhofer, Josef (Hrsg.): Workshop proceedings of the 12th edition of the KONVENS Conference | Hildesheim: Universitätsverlag Hildesheim | 2014
35048 Endnote
Author(s):
Nam, Jinseok
Title:
Semi-supervised neural networks for nested named entity recognition
In:
Faaß, Getrud;Ruppenhofer, Josef (Hrsg.): Workshop proceedings of the 12th edition of the KONVENS Conference, Hildesheim: Universitätsverlag Hildesheim, 2014 , S. 144-148
URL:
http://www.uni-hildesheim.de/konvens2014/data/konvens2014-workshop-proceedings.pdf
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Algorithmus; Automatisierung; Computerlinguistik; Daten; Indexierung; Lernen; Netzwerk; Text
Abstract (english):
In this paper, we investigate a semi-supervised learning approach based on neural networks for nested named entity recognition on the GermEval 2014 dataset. The dataset consists of triples of a word, a named entity associated with that word in the first-level and one in the second-level. Additionally, the tag distribution is highly skewed, that is, the number of occurrences of certain types of tags is too small. Hence, we present a unified neural network architecture to deal with named entities in both levels simultaneously and to improve generalization performance on the classes that have a small number of labelled examples. (DIPF/Autor)
DIPF-Departments:
Informationszentrum Bildung
Large-scale multi-label text classification. Revisiting neural networks
Nam, Jinseok; Kim, Jungi; Loza Mencía, Eneldo; Gurevych, Iryna; Fürnkranz, Johannes
Book Chapter
| Aus: Calders,Toon;Esposito,Floriana;Hüllermeier,Eyke;Meo, Rosa (Hrsg.): Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II | Berlin: Springer | 2014
34870 Endnote
Author(s):
Nam, Jinseok; Kim, Jungi; Loza Mencía, Eneldo; Gurevych, Iryna; Fürnkranz, Johannes
Title:
Large-scale multi-label text classification. Revisiting neural networks
In:
Calders,Toon;Esposito,Floriana;Hüllermeier,Eyke;Meo, Rosa (Hrsg.): Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II, Berlin: Springer, 2014 (Lecture notes in Computer Science, 8725), S. 437-452
DOI:
10.1007/978-3-662-44851-9_28
URL:
http://link.springer.com/chapter/10.1007/978-3-662-44851-9_28
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Elektronische Bibliothek; Information Retrieval; Klassifikation; Lernen; Netzwerk; Ranking; Text
Abstract:
Neural networks have recently been proposed for multi-label classification because they are able to capture and model label dependencies in the output layer. In this work, we investigate limitations of BP-MLL, a neural network (NN) architecture that aims at minimizing pairwise ranking error. Instead, we propose to use a comparably simple NN approach with recently proposed learning techniques for large-scale multi-label text classification tasks. In particular, we show that BP-MLL's ranking loss minimization can be efficiently and effectively replaced with the commonly used cross entropy error function, and demonstrate that several advances in neural network training that have been developed in the realm of deep learning can be effectively employed in this setting. Our experimental results show that simple NN models equipped with advanced techniques such as rectified linear units, dropout, and AdaGrad perform as well as or even outperform state-of-the-art approaches on six large-scale textual datasets with diverse characteristics. (DIPF/Org.)
DIPF-Departments:
Informationszentrum Bildung
GermEval-2014. Nested named entity recognition with neural networks
Reimers, Nils; Eckle-Kohler, Judith; Schnober, Carsten; Kim, Jungi; Gurevych, Iryna
Book Chapter
| Aus: Faaß, Gertrud; Ruppenhofer, Josef (Hrsg.): Workshop Proceedings of the 12th edition of the KONVENS Conference | Hildesheim: Universitätsverlag Hildesheim | 2014
34989 Endnote
Author(s):
Reimers, Nils; Eckle-Kohler, Judith; Schnober, Carsten; Kim, Jungi; Gurevych, Iryna
Title:
GermEval-2014. Nested named entity recognition with neural networks
In:
Faaß, Gertrud; Ruppenhofer, Josef (Hrsg.): Workshop Proceedings of the 12th edition of the KONVENS Conference, Hildesheim: Universitätsverlag Hildesheim, 2014 , S. 117-120
URL:
http://www.uni-hildesheim.de/konvens2014/data/konvens2014-workshop-proceedings.pdf
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Automatisierung; Computerlinguistik; Daten; Evaluation; Information; Modell; Netzwerk; Sprachanalyse; Textanalyse; Wissen
Abstract:
Collobert et al. (2011) showed that deep neural network architectures achieve state-of-the-art performance in many fundamental NLP tasks, including Named Entity Recognition (NER). However, results were only reported for English. This paper reports on experiments for German Named Entity Recognition, using the data from the GermEval 2014 shared task on NER. Our system achieves an F1-measure of 75.09% according to the official metric. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
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