Publikation:

Algorithmic Debugging for Intelligent Tutoring : How to use multiple models and improve diagnosis

Lade...
Vorschaubild

Dateien

Zinn_245687.pdf
Zinn_245687.pdfGröße: 133.19 KBDownloads: 369

Datum

2013

Autor:innen

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

TIMM, Ingo J., ed., Matthias THIMM, ed.. KI 2013: Advances in Artificial Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 272-283. Lecture Notes in Computer Science. 8077. ISBN 978-3-642-40941-7. Available under: doi: 10.1007/978-3-642-40942-4_24

Zusammenfassung

Intelligent tutoring systems (ITSs) are capable to intelligently diagnose learners’ problem solving behaviour only in limited and well-defined contexts. Learners are expected to solve problems by closely following a single prescribed problem solving strategy, usually in a fixed- order, step by step manner. Learners failing to match expectations are often met with incorrect diagnoses even when human teachers would judge their actions admissible. To address the issue, we extend our previous work on cognitive diagnosis, which is based on logic programming and meta-level techniques. Our novel use of Shapiro’s algorithmic debugging now analyses learner input independently against multiple models. Learners can now follow one of many possible algorithms to solve a given problem, and they can expect the tutoring system to respond with improved diagnostic quality, at negligible computational costs.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690ZINN, Claus, 2013. Algorithmic Debugging for Intelligent Tutoring : How to use multiple models and improve diagnosis. In: TIMM, Ingo J., ed., Matthias THIMM, ed.. KI 2013: Advances in Artificial Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 272-283. Lecture Notes in Computer Science. 8077. ISBN 978-3-642-40941-7. Available under: doi: 10.1007/978-3-642-40942-4_24
BibTex
@inproceedings{Zinn2013Algor-24568,
  year={2013},
  doi={10.1007/978-3-642-40942-4_24},
  title={Algorithmic Debugging for Intelligent Tutoring : How to use multiple models and improve diagnosis},
  number={8077},
  isbn={978-3-642-40941-7},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Computer Science},
  booktitle={KI 2013: Advances in Artificial Intelligence},
  pages={272--283},
  editor={Timm, Ingo J. and Thimm, Matthias},
  author={Zinn, Claus}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/24568">
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/24568"/>
    <dc:creator>Zinn, Claus</dc:creator>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/24568/2/Zinn_245687.pdf"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:issued>2013</dcterms:issued>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Zinn, Claus</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-10-16T06:28:52Z</dcterms:available>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-10-16T06:28:52Z</dc:date>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/24568/2/Zinn_245687.pdf"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:bibliographicCitation>KI 2013: Advances in Artificial Intelligence : 36th Annual German Conference on AI, Koblenz, Germany, September 16-20, 2013 ; Proceedings / edited by Ingo J. Timm, Matthias Thimm. - Berlin : Springer, 2013. - S. 272-283. - (Lecture notes in computer science ; 8077). - ISBN 978-364-24094-2-4</dcterms:bibliographicCitation>
    <dc:language>eng</dc:language>
    <dcterms:title>Algorithmic Debugging for Intelligent Tutoring : How to use multiple models and improve diagnosis</dcterms:title>
    <dcterms:abstract xml:lang="eng">Intelligent tutoring systems (ITSs) are capable to intelligently diagnose learners’ problem solving behaviour only in limited and well-defined contexts. Learners are expected to solve problems by closely following a single prescribed problem solving strategy, usually in a fixed- order, step by step manner. Learners failing to match expectations are often met with incorrect diagnoses even when human teachers would judge their actions admissible. To address the issue, we extend our previous work on cognitive diagnosis, which is based on logic programming and meta-level techniques. Our novel use of Shapiro’s algorithmic debugging now analyses learner input independently against multiple models. Learners can now follow one of many possible algorithms to solve a given problem, and they can expect the tutoring system to respond with improved diagnostic quality, at negligible computational costs.</dcterms:abstract>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen