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Caught in the lifelong learning maze. Helping People with Learning analytics and chatbots to find […]
Ahmad, Atezaz; Kiesler, Natalie; Schiffner, Daniel; Schneider, Jan; Wollny, Sebastian
Journal Article
| In: International Journal of Information and Education Technology | 2023
43534 Endnote
Author(s):
Ahmad, Atezaz; Kiesler, Natalie; Schiffner, Daniel; Schneider, Jan; Wollny, Sebastian
Title:
Caught in the lifelong learning maze. Helping People with Learning analytics and chatbots to find personal career paths
In:
International Journal of Information and Education Technology, 13 (2023) 3, S. 423-429
DOI:
10.18178/ijiet.2023.13.3.1822
URL:
http://www.ijiet.org/show-186-2416-1.html
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Englisch
Keywords:
Analyse; Beratung; Chat; Deutschland; E-Learning; Erwachsenenbildung; Fragebogenerhebung; Indikator; Kurs; Learning Analytics; Lebenslanges Lernen; Lernplattform; Metadaten; Neue Technologien; Nutzer; Software; Sprachverarbeitung; Technologieunterstütztes Lernen; Textverarbeitung; Workshop
Abstract (english):
Current lifelong learning platforms offer users a query option to select a wide variety of courses. However, finding a suitable course among the seemingly endless catalogs of options presented by the platforms is not straightforward. We argue that digital counseling can enhance this process. In this paper, we present a set of three formative studies where we explored the main aspects that can provide the counseling needed. The methods comprise an analysis of user profile characteristics and learning analytics indicators (e.g., learning progress/self-regulation) by means of an expert workshop, evaluating the feasibility of current technologies (e.g., natural language processing) for automatically assessing users' competencies, and a survey on the use of Chatbots as the interaction interface between the users and the lifelong learning portals. The analysis resulted in the extraction of basic requirements for digital counseling. We conclude the paper by presenting a system design derived from these studies. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
On the speed sensitivity parameter in the lognormal model for response times. Implications for test […]
Becker, Benjamin; Debeer, Dries; Weirich, Sebastian; Goldhammer, Frank
Journal Article
| In: Applied Psychological Measurement | 2021
42009 Endnote
Author(s):
Becker, Benjamin; Debeer, Dries; Weirich, Sebastian; Goldhammer, Frank
Title:
On the speed sensitivity parameter in the lognormal model for response times. Implications for test assembly
In:
Applied Psychological Measurement, 45 (2021) 6, S. 407-422
DOI:
10.1177/01466216211008530
URL:
https://journals.sagepub.com/doi/abs/10.1177/01466216211008530
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Englisch
Keywords:
Software; Technologiebasiertes Testen; Messverfahren; Item-Response-Theory; Leistungstest; Frage; Antwort; Dauer; Einflussfaktor; Testkonstruktion; Modell; Vergleich; Testtheorie; Simulation
Abstract:
In high-stakes testing, often multiple test forms are used and a common time limit is enforced. Test fairness requires that ability estimates must not depend on the administration of a specific test form. Such a requirement may be violated if speededness differs between test forms. The impact of not taking speed sensitivity into account on the comparability of test forms regarding speededness and ability estimation was investigated. The lognormal measurement model for response times by van der Linden was compared with its extension by Klein Entink, van der Linden, and Fox, which includes a speed sensitivity parameter. An empirical data example was used to show that the extended model can fit the data better than the model without speed sensitivity parameters. A simulation was conducted, which showed that test forms with different average speed sensitivity yielded substantial different ability estimates for slow test takers, especially for test takers with high ability. Therefore, the use of the extended lognormal model for response times is recommended for the calibration of item pools in high-stakes testing situations. Limitations to the proposed approach and further research questions are discussed. (DIPF/Orig.)
Abstract (english):
In high-stakes testing, often multiple test forms are used and a common time limit is enforced. Test fairness requires that ability estimates must not depend on the administration of a specific test form. Such a requirement may be violated if speededness differs between test forms. The impact of not taking speed sensitivity into account on the comparability of test forms regarding speededness and ability estimation was investigated. The lognormal measurement model for response times by van der Linden was compared with its extension by Klein Entink, van der Linden, and Fox, which includes a speed sensitivity parameter. An empirical data example was used to show that the extended model can fit the data better than the model without speed sensitivity parameters. A simulation was conducted, which showed that test forms with different average speed sensitivity yielded substantial different ability estimates for slow test takers, especially for test takers with high ability. Therefore, the use of the extended lognormal model for response times is recommended for the calibration of item pools in high-stakes testing situations. Limitations to the proposed approach and further research questions are discussed. (DIPF/Orig.)
DIPF-Departments:
Lehr und Lernqualität in Bildungseinrichtungen
Mobile sensing with smart wearables of the physical context of distance learning students to […]
Ciordas-Hertel, George-Petru; Rödling, Sebastian; Schneider, Jan; Di Mitri, Daniele; […]
Journal Article
| In: Sensors | 2021
42008 Endnote
Author(s):
Ciordas-Hertel, George-Petru; Rödling, Sebastian; Schneider, Jan; Di Mitri, Daniele; Weidlich, Joshua; Drachsler, Hendrik
Title:
Mobile sensing with smart wearables of the physical context of distance learning students to consider its effects on learning
In:
Sensors, 21 (2021) 19, S. 6649
DOI:
10.3390/s21196649
URL:
https://www.mdpi.com/1424-8220/21/19/6649
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Englisch
Keywords:
Lernen; Einflussfaktor; Lernumgebung; Lernort; Lernvoraussetzungen; Hausunterricht; Learning Analytics; Smartphone; Neue Technologien; Datenerhebung; Erhebungsinstrument; Software; Softwareentwicklung; Implementierung; Erwachsener; Fragebogen; Datenanalyse
Abstract:
Research shows that various contextual factors can have an impact on learning. Some of these factors can originate from the physical learning environment (PLE) in this regard. When learning from home, learners have to organize their PLE by themselves. This paper is concerned with identifying, measuring, and collecting factors from the PLE that may affect learning using mobile sensing. More specifically, this paper first investigates which factors from the PLE can affect distance learning. The results identify nine types of factors from the PLE associated with cognitive, physiological, and affective effects on learning. Subsequently, this paper examines which instruments can be used to measure the investigated factors. The results highlight several methods involving smart wearables (SWs) to measure these factors from PLEs successfully. Third, this paper explores how software infrastructure can be designed to measure, collect, and process the identified multimodal data from and about the PLE by utilizing mobile sensing. The design and implementation of the Edutex software infrastructure described in this paper will enable learning analytics stakeholders to use data from and about the learners' physical contexts. Edutex achieves this by utilizing sensor data from smartphones and smartwatches, in addition to response data from experience samples and questionnaires from learners' smartwatches. Finally, this paper evaluates to what extent the developed infrastructure can provide relevant information about the learning context in a field study with 10 participants. The evaluation demonstrates how the software infrastructure can contextualize multimodal sensor data, such as lighting, ambient noise, and location, with user responses in a reliable, efficient, and protected manner.
Abstract (english):
Research shows that various contextual factors can have an impact on learning. Some of these factors can originate from the physical learning environment (PLE) in this regard. When learning from home, learners have to organize their PLE by themselves. This paper is concerned with identifying, measuring, and collecting factors from the PLE that may affect learning using mobile sensing. More specifically, this paper first investigates which factors from the PLE can affect distance learning. The results identify nine types of factors from the PLE associated with cognitive, physiological, and affective effects on learning. Subsequently, this paper examines which instruments can be used to measure the investigated factors. The results highlight several methods involving smart wearables (SWs) to measure these factors from PLEs successfully. Third, this paper explores how software infrastructure can be designed to measure, collect, and process the identified multimodal data from and about the PLE by utilizing mobile sensing. The design and implementation of the Edutex software infrastructure described in this paper will enable learning analytics stakeholders to use data from and about the learners' physical contexts. Edutex achieves this by utilizing sensor data from smartphones and smartwatches, in addition to response data from experience samples and questionnaires from learners' smartwatches. Finally, this paper evaluates to what extent the developed infrastructure can provide relevant information about the learning context in a field study with 10 participants. The evaluation demonstrates how the software infrastructure can contextualize multimodal sensor data, such as lighting, ambient noise, and location, with user responses in a reliable, efficient, and protected manner.
DIPF-Departments:
Informationszentrum Bildung
Visual analysis of point cloud neighborhoods via multi-scale geometric measures
Ritter, Marcel; Schiffner, Daniel; Harders, Matthias
Journal Article
| In: Computer Graphics Forum | 2021
41073 Endnote
Author(s):
Ritter, Marcel; Schiffner, Daniel; Harders, Matthias
Title:
Visual analysis of point cloud neighborhoods via multi-scale geometric measures
In:
Computer Graphics Forum, 5 (2021) 3, S. 1-14
DOI:
10.1016/j.visinf.2021.05.001
URL:
https://www.sciencedirect.com/science/article/pii/S2468502X21000206?via%3Dihub
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Englisch
Keywords:
Geometrie; Algorithmus; Visualisieren; Daten; Datenverarbeitung; FRAMEWORK; System; Software; Softwareentwicklung; Tool
Abstract (english):
Point-based geometry representations have become widely used in numerous contexts, ranging from particle-based simulations, over stereo image matching, to depth sensing via light detection and ranging. Our application focus is on the reconstruction of curved line structures in noisy 3D point cloud data. Respective algorithms operating on such point clouds often rely on the notion of a local neighborhood. Regarding the latter, our approach employs multi-scale neighborhoods, for which weighted covariance measures of local points are determined. Curved line structures are reconstructed via vector field tracing, using a bidirectional piecewise streamline integration. We also introduce an automatic selection of optimal starting points via multi-scale geometric measures. The pipeline development and choice of parameters was driven by an extensive, automated initial analysis process on over a million prototype test cases. The behavior of our approach is controlled by several parameters - the majority being set automatically, leaving only three to be controlled by a user. In an extensive, automated final evaluation, we cover over one hundred thousand parameter sets, including 3D test geometries with varying curvature, sharp corners, intersections, data holes, and systematically applied varying types of noise. Further, we analyzed different choices for the point of reference in the co-variance computation; using a weighted mean performed best in most cases. In addition, we compared our method to current, publicly available line reconstruction frameworks. Up to thirty times faster execution times were achieved in some cases, at comparable error measures. Finally, we also demonstrate an exemplary application on four real-world 3D light detection and ranging datasets, extracting power line cables.
DIPF-Departments:
Informationszentrum Bildung
Nutzung von Social-Media-Daten in der Bildungsforschung
Bayer, Sonja; Breuer, Johannes; Lösch, Thomas; Goebel, Jürgen W.
Journal Article
| In: forschungsdaten bildung informiert | 2021
41142 Endnote
Author(s):
Bayer, Sonja; Breuer, Johannes; Lösch, Thomas; Goebel, Jürgen W.
Title:
Nutzung von Social-Media-Daten in der Bildungsforschung
In:
forschungsdaten bildung informiert, (2021) 9, S. 1-28
DOI:
10.25656/01:22121
URN:
urn:nbn:de:0111-pedocs-221219
URL:
https://nbn-resolving.org/urn:nbn:de:0111-pedocs-221219
Publication Type:
3b. Beiträge in weiteren Zeitschriften; praxisorientiert
Language:
Deutsch
Keywords:
Soziale Software; Definition; Daten; Nutzung; Recht; Datenschutz; Archivierung; Publikation; Bildungsforschung; Deutschland
Abstract:
Die vorliegende Handreichung gibt zuerst einen allgemeinen Einstieg in die Definition von Social Media (Kapitel 2) und thematisiert verschiedene Zugangswege zu Social-Media-Daten sowie die Verknüpfung dieser Daten mit Daten aus anderen Erhebungsformaten (Kapitel 3). Anschließend wird vertiefend auf zentrale Rechtsbereiche eingegangen, die bei der Forschung mit Social-Media-Daten tangiert sein können (Kapitel 4). Die Beschreibung bezieht sich auf entsprechende Gesetze und Rechtsvorschriften, hat jedoch den Anspruch, anhand praktischer Bezüge die rechtlichen Grundlagen und ihre Bedeutung für die Forschungspraxis zu reflektieren. In Kapitel 5 wird der Aspekt des Datenschutzes konkret anhand des Themas der informierten Einwilligung diskutiert, wobei speziell auch auf Besonderheiten bei der Erhebung von Daten in und mit Social Media eingegangen wird. Die Handreichung gibt abschließend Hinweise und Empfehlungen für das Archivieren und Publizieren von Social-Media-Daten mit Hinweisen auf vertiefende Informationsquellen zu diesem Thema (Kapitel 6).
DIPF-Departments:
Informationszentrum Bildung
CERC2020, Collaborative European Research Conference, Belfast, UK, 10 - 11 September 2020, […]
Afli, Haithem; Bleimann, Udo; Burkhard, Dirk; Loew, Robert; Regier, Stefanie; Stengel, Ingo; […] (Hrsg.)
Compilation Book
| Aachen: RWTH | 2020
41021 Endnote
Editor(s)
Afli, Haithem; Bleimann, Udo; Burkhard, Dirk; Loew, Robert; Regier, Stefanie; Stengel, Ingo; Wang, Haiying; Zheng, Huiru Jane
Title:
CERC2020, Collaborative European Research Conference, Belfast, UK, 10 - 11 September 2020, https://www.cerc-conference.eu, proceedings
Published:
Aachen: RWTH, 2020 (CEUR workshop proceedings, 2815)
URN:
urn:nbn:de:0074-2815-0
URL:
http://ceur-ws.org/Vol-2815
Publication Type:
2. Herausgeberschaft; Sammelband (keine besondere Kategorie)
Language:
Englisch
Keywords:
Europa; Forschung; Kooperation; Interdisziplinarität; Datenschutz; Gesetz; Rahmenrichtlinien; Robotik; Software-Agent; Internet; Netzwerk; Software; Neue Technologien; Navigation; Kartierung; Gesundheit; Kommunikation; Softwareentwicklung; Datenverarbeitung; Künstliche Intelligenz; Algorithmus; Statistik; Datenanalyse; Visualisieren; COVID-19; Wirtschaft; Gesellschaft
Abstract (english):
In today's world, which has recently seen fractures and isolation forming among states, international and interdisciplinary collaboration is an increasingly important source of progress. Collaboration is a rich source of innovation and growth. It is the goal of the Collaborative European Research Conference (CERC2020) to foster collaboration among friends and colleagues across disciplines and nations within Europe. CERC emerged from long-standing cooperation between the Cork Institute of Technology, Ireland and Hochschule Darmstadt - University of Applied Sciences, Germany. CERC has grown to include more well-established partners in Germany, the United Kingdom, Greece, Spain, Italy, and many more. CERC is truly interdisciplinary, bringing together new and experienced researchers from science, engineering, business, humanities, and the arts. At CERC researchers not only present their findings as published in their research papers. They are also challenged to collaboratively work out joint aspects of their research during conference sessions and informal social events and gatherings. Organizing such an event involves the hard work of many people. COVID-19 pandemic has impacted our daily life and research. It has been a significant change to CERC2020 and this is the first time the conference was held virtually online. The conference has received submissions from worldwide, not just European countries. Thanks go to the international program committee and my fellow program chairs, particularly to Prof Udo Bleimann for invaluable support throughout the conference. Prof Ingo Stengel, Dr. Haiying Wang, Dr. Ali Haithem, and Dr. Stefanie Regier for supporting me in the review process. Dirk Burkhardt and Dr. Robert Loew put a great effort into setting up the website and conference management system and preparing the conference programme and proceedings. Thank my colleagues from Ulster University, Hochschule Karlsruhe and Hochschule Darmstadt, and the Cork Institute of Technology, Ireland for providing invaluable support to the conference. CERC2020 has received supports from Ulster University, VIsit Belfast, and Belfast City Council. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung
Mackowiak, Katja; Beckerle, Christine; Gentrup, Sarah; Titz, Cora (Hrsg.)
Compilation Book
| Bad Heilbrunn: Klinkhardt | 2020
40628 Endnote
Editor(s)
Mackowiak, Katja; Beckerle, Christine; Gentrup, Sarah; Titz, Cora
Title:
Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung
Published:
Bad Heilbrunn: Klinkhardt, 2020
DOI:
doi.org/1035468/5801
URN:
urn:nbn:de:0111-pedocs-201399
URL:
https://www.pedocs.de/frontdoor.php?source_opus=20139
Publication Type:
2. Herausgeberschaft; Sammelband (keine besondere Kategorie)
Language:
Deutsch
Keywords:
Aktivierung; Anwendung; Auswertung; Baden-Württemberg; Bayern; Beobachtung; Beobachtungsmethode; Berufliche Kompetenz; Bewertung; Bildungsforschung; Bildungspraxis; Datenerfassung; Deutschland; Deutschunterricht; Diagnostik; Dokumentation; Empirische Forschung; Erhebungsinstrument; Erzieher; Erzieherin; Fachdidaktik; Fachsprache; Fachunterricht; Fachwissen; Feed-back; Förderdiagnostik; Förderung; Forschung; Forschungsmethode; Fragebogen; Grundschule; Handlungskompetenz; Instrument; Interview; Kind; Kindergarten; Kindergartenalltag; Kindergartenpädagogik; Kindertagesstätte; Kompetenz; Kompetenzmessung; Korrektur; Längsschnittuntersuchung; Lehramtsstudent; Lehrer; Lehrer-Schüler-Interaktion; Leitfadeninterview; Leseförderung; Lesekompetenz; Mathematikunterricht; Messinstrument; Methode; Nordrhein-Westfalen; Pädagogische Fachkraft; Pädagogisches Handeln; Primarbereich; Profession; Professionalisierung; Protokoll; Psychometrie; Qualitative Forschung; Quantitative Forschung; Reflexion <Phil>; Sachsen-Anhalt; Schriftsprache; Schule; Schüler; Schülermitarbeit; Sekundarstufe I; Software; Sprachbildung; Sprachdiagnostik; Spracherwerb; Sprachförderung; Sprachgebrauch; Sprachkompetenz; Sprachpraktische Übung; Sprachstandsforschung; Test; Testkonstruktion; Testvalidität; Testverfahren; Transfer; Unterricht; Videoanalyse; Videoaufzeichnung; Vignette <Methode>; Wissen; Wissenstest
Abstract:
Das Buch stellt sieben Verfahren vor, die unterschiedliche Facetten (schrift-)sprachlicher Bildung erfassen. Die Verfahren fokussieren unterschiedlcihe Aspekte der Sprachbildung sowie Sprach- und Leseförderung in Kindertageseinrichtungen und Schulen und adressieren unterschiedliche Zielgruppen (pädagogische Fachkräfte, Lehrkräfte, Kinder). Die Instrumente wurden im Rahmen der Initiative "Bildung durch Sprache und Schrift" (BiSS) entwickelt und primär für Forschungszwecke, jedoch auch in der Aus- und Weiterbildung von pädagogischen Fach- und Lehrkräften einsetzbar. Ein online-Anhang stellt die Instrumente sowie alle notwendigen Materialien zur Verfügung.
DIPF-Departments:
Bildung und Entwicklung
Adopting trust in learning analytics infrastructure. A structured literature review
Ciordas-Hertel, George-Petru; Schneider, Jan; Ternier, Stefaan; Drachsler, Hendrik
Journal Article
| In: Journal of Universal Computer Science | 2020
40630 Endnote
Author(s):
Ciordas-Hertel, George-Petru; Schneider, Jan; Ternier, Stefaan; Drachsler, Hendrik
Title:
Adopting trust in learning analytics infrastructure. A structured literature review
In:
Journal of Universal Computer Science, 25 (2020) 13, S. 1668-1686
DOI:
10.3217/jucs-025-13-1668
URN:
urn:nbn:de:0111-pedocs-233124
URL:
https://nbn-resolving.org/urn:nbn:de:0111-pedocs-233124
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Language:
Englisch
Keywords:
E-Learning; Learning analytics; Vertrauen; Datenschutz; Infrastruktur; Software; Datensicherheit; Bildung; Literaturbericht
Abstract:
One key factor for the successful outcome of a Learning Analytics (LA) infrastructure is the ability to decide which software architecture concept is necessary. Big Data can be used to face the challenges LA holds. Additional challenges on privacy rights are introduced to the Europeans by the General Data Protection Regulation (GDPR). Beyond that, the challenge of how to gain the trust of the users remains. We found diverse architectural concepts in the domain of LA. Selecting an appropriate solution is not straightforward. Therefore, we conducted a structured literature review to assess the state-of-the-art and provide an overview of Big Data architectures used in LA. Based on the examination of the results, we identify common architectural components and technologies and present them in the form of a mind map. Linking the findings, we are proposing an initial approach towards a Trusted and Interoperable Learning Analytics Infrastructure (TIILA).
DIPF-Departments:
Informationszentrum Bildung
Interpretieren im Kontext virtueller Forschungsumgebungen - zu den Potentialen und Grenzen einer […]
Kminek, Helge; Meier, Michael; Schindler, Christoph; Hocker, Julian; Veja, Cornelia
Journal Article
| In: Zeitschrift für qualitative Forschung | 2020
40949 Endnote
Author(s):
Kminek, Helge; Meier, Michael; Schindler, Christoph; Hocker, Julian; Veja, Cornelia
Title:
Interpretieren im Kontext virtueller Forschungsumgebungen - zu den Potentialen und Grenzen einer virtuellen Forschungsumgebung und ihres Einsatzes in der akademischen Lehre
In:
Zeitschrift für qualitative Forschung, 21 (2020) 2, S. 185-198
DOI:
10.3224/zqf.v21i2.03
URL:
https://www.budrich-journals.de/index.php/zqf/article/view/36570
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Language:
Deutsch
Keywords:
Hermeneutik; Objektivität; Methode; Forschungsprozess; Digitalisierung; Computerunterstütztes Verfahren; Datenanalyse; Interpretation; Tool; Softwaretechnologie; Erziehungswissenschaft; Hochschullehre; Methodologie; Kasuistik
Abstract:
In dem Beitrag wird eine für die Methode der Objektiven Hermeneutik entwickelte virtuelle Forschungsumgebung vorgestellt. Mit Blick auf die Forschungsbefunde zum Einsatz von Objektiver Hermeneutik in der akademischen Lehre werden Voraussetzungen und Potentiale für die Einsatzmöglichkeiten einer virtuellen Forschungsumgebung diskutiert. Dies erfolgt unter anderem am Beispiel eines Lehrforschungsseminars, dessen erste Ergebnisse die These stützen, dass die hier vorgestellte virtuelle Forschungsumgebung eine sinnvolle Ergänzung der universitären Methodenlehre darstellen kann. (DIPF/Orig.)
Abstract (english):
The article presents the virtual research environment developed for the method of Objective Hermeneutics. With regard to the research findings on the use of objective hermeneutics in academic teaching, the requirements and potential for the possible uses of a virtual research environment are discussed. The discussion is based, among other things, on the example of a teaching research seminar, the initial results of which support the thesis that the virtual research environment presented here can be a useful supplement to university methodology, especially for Objective Hermeneutics. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
ReCo: Textantworten automatisch auswerten. Methodenworkshop
Zehner, Fabian; Andersen, Nico
Journal Article
| In: Zeitschrift für Soziologie der Erziehung und Sozialisation | 2020
40196 Endnote
Author(s):
Zehner, Fabian; Andersen, Nico
Title:
ReCo: Textantworten automatisch auswerten. Methodenworkshop
In:
Zeitschrift für Soziologie der Erziehung und Sozialisation, 40 (2020) 3, S. 334-340
DOI:
10.25656/01:22115
URN:
urn:nbn:de:0111-pedocs-221153
URL:
https://nbn-resolving.org/urn:nbn:de:0111-pedocs-221153
Publication Type:
3b. Beiträge in weiteren Zeitschriften; praxisorientiert
Language:
Deutsch
Keywords:
Software; Technologiebasiertes Testen; Antwort; Text; Testauswertung; Automatisierung; Datenanalyse; Konzeption; Methodik
Abstract:
Mit dem vorliegenden Beitrag wird erstmalig der Prototyp einer R- sowie Java-basierten und frei verfügbaren Software veröffentlicht, die für die Verwendung mit deutschen Textantworten evaluiert wurde und aktuell für weitere Sprachen weiter entwickelt wird: ReCo (Automatic Text Response Coder; Zehner, Sälzer & Goldhammer, 2016). ReCo ist auf Kurztextantworten spezialisiert und adressiert Semantik, weshalb auch von Inhaltsscoring die Rede ist. Die hier vorgestellte Software enthält einen Demodatensatz, bei dem es wichtig ist, vorab anzumerken, dass dieser und die hier zitierten Beispielantworten lediglich eine sehr geringe Sprachvielfalt enthalten. Das liegt daran, dass dieser Datensatz auf empirischen Daten basiert und wegen deren Vertraulichkeit umfangreich manuell manipuliert wurde, was mit sprachlich komplexeren Items nicht möglich gewesen wäre. Die ReCo-Methodik selbst funktioniert hingegen auch bei komplexeren Antworten [...]. Dieser Beitrag skizziert kurz die ReCo-Methodik und stellt erstmals die Shiny-App vor, die automatisches Kodieren für eigene Daten flexibel anwendbar macht. Dafür wird skizziert, wie der aktuell verfügbare Prototyp installiert und auf einen Demodatensatz angewendet wird. Zuletzt gibt der Beitrag einen Ausblick, welche Funktionalitäten die App nach Verlassen der aktuellen Prototypenphase sowie in der langfristigen Entwicklung haben wird. Aktuelle Entwicklungen können auf der ReCo-Webseite verfolgt werden: www.reco.science (DIPF/Orig.)
DIPF-Departments:
Bildungsqualität und Evaluation
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