Episodic Learner Modeling
Identifieur interne : 000F98 ( Istex/Checkpoint ); précédent : 000F97; suivant : 000F99Episodic Learner Modeling
Auteurs : Gerhard Weber [Allemagne]Source :
- Cognitive Science [ 0364-0213 ] ; 1996.
Abstract
Modeling the learner is a central aspect of intelligent tutoring systems and knowledge-based help systems that support learners in complex problem-solving domains. In this article, the episodic learner model ELM is introduced as a hybrid system that analyses novices' solutions to programming tasks based on both rulebased and case-based reasoning. ELM behaves like to a human tutor. Initially, ELM is able to analyze problem solutions based only on its domain knowledge. With increasing knowledge about a particular learner captured in a dynamic episodic case base, it adapts to the learner's individual problem-solving behavior. Two simulation studies were performed to validate the system. The first study shows that the system can learn which rules are applied successfully to diagnose code produced by programmers and that using this information reduces the computational effort of diagnoses. Using information from the episodic learner model additionally speeds up the diagnostic process. The second study shows that ELM is able to predict individual solutions. Finally, correspondences and differences to related systems are discussed.
Url:
DOI: 10.1016/S0364-0213(99)80006-8
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
ISTEX:E828C8FB80F412B78FDA4040F8ABB70F105F8E77Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Episodic Learner Modeling</title>
<author><name sortKey="Weber, Gerhard" sort="Weber, Gerhard" uniqKey="Weber G" first="Gerhard" last="Weber">Gerhard Weber</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:E828C8FB80F412B78FDA4040F8ABB70F105F8E77</idno>
<date when="1996" year="1996">1996</date>
<idno type="doi">10.1016/S0364-0213(99)80006-8</idno>
<idno type="url">https://api.istex.fr/document/E828C8FB80F412B78FDA4040F8ABB70F105F8E77/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">001581</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001581</idno>
<idno type="wicri:Area/Istex/Curation">001469</idno>
<idno type="wicri:Area/Istex/Checkpoint">000F98</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000F98</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a">Episodic Learner Modeling</title>
<author><name sortKey="Weber, Gerhard" sort="Weber, Gerhard" uniqKey="Weber G" first="Gerhard" last="Weber">Gerhard Weber</name>
<affiliation></affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Allemagne</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j">Cognitive Science</title>
<title level="j" type="abbrev">COGSCI</title>
<idno type="ISSN">0364-0213</idno>
<imprint><publisher>ELSEVIER</publisher>
<date type="published" when="1996">1996</date>
<biblScope unit="volume">20</biblScope>
<biblScope unit="issue">2</biblScope>
<biblScope unit="page" from="195">195</biblScope>
<biblScope unit="page" to="236">236</biblScope>
</imprint>
<idno type="ISSN">0364-0213</idno>
</series>
<idno type="istex">E828C8FB80F412B78FDA4040F8ABB70F105F8E77</idno>
<idno type="DOI">10.1016/S0364-0213(99)80006-8</idno>
<idno type="PII">S0364-0213(99)80006-8</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0364-0213</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Modeling the learner is a central aspect of intelligent tutoring systems and knowledge-based help systems that support learners in complex problem-solving domains. In this article, the episodic learner model ELM is introduced as a hybrid system that analyses novices' solutions to programming tasks based on both rulebased and case-based reasoning. ELM behaves like to a human tutor. Initially, ELM is able to analyze problem solutions based only on its domain knowledge. With increasing knowledge about a particular learner captured in a dynamic episodic case base, it adapts to the learner's individual problem-solving behavior. Two simulation studies were performed to validate the system. The first study shows that the system can learn which rules are applied successfully to diagnose code produced by programmers and that using this information reduces the computational effort of diagnoses. Using information from the episodic learner model additionally speeds up the diagnostic process. The second study shows that ELM is able to predict individual solutions. Finally, correspondences and differences to related systems are discussed.</div>
</front>
</TEI>
<affiliations><list><country><li>Allemagne</li>
</country>
</list>
<tree><country name="Allemagne"><noRegion><name sortKey="Weber, Gerhard" sort="Weber, Gerhard" uniqKey="Weber G" first="Gerhard" last="Weber">Gerhard Weber</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Rhénanie/explor/UnivTrevesV1/Data/Istex/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000F98 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Checkpoint/biblio.hfd -nk 000F98 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Rhénanie |area= UnivTrevesV1 |flux= Istex |étape= Checkpoint |type= RBID |clé= ISTEX:E828C8FB80F412B78FDA4040F8ABB70F105F8E77 |texte= Episodic Learner Modeling }}
![]() | This area was generated with Dilib version V0.6.31. | ![]() |