Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

Abstract

This research deals with two issues for learner modeling: uncertainty and multiple perspectives. Hence, it proposes a process called cognitive mapping to acquire and describe objects of a domain of study, and set fuzzy-causal relationships among them. Objects are characterized as linguistic variables that are instantiated by linguistic terms; whereas relations are outlined by means of fuzzy-rule bases. So objects and relations are statements of qualitative knowledge that are measured in terms of nature and degrees of bias to reveal uncertainty. The representation of multiple perspectives of the learner is sketched through the topology of a cognitive map and the qualitative measures attached to objects and relationships. This approach was tested in an E-learning trial, its outcomes show the effectiveness of the learner model to enhance the apprenticeship of volunteers due to the successfully handle of uncertainty and multiple perspectives. © 2009 The authors and IOS Press. All rights reserved.
Original languageAmerican English
Title of host publicationHandling uncertainty and multiple perspectives for learner modeling by cognitive mapping
Pages283-290
Number of pages253
ISBN (Electronic)9781607500285
DOIs
StatePublished - 1 Jan 2009
EventFrontiers in Artificial Intelligence and Applications -
Duration: 1 Jan 2018 → …

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume200
ISSN (Print)0922-6389

Conference

ConferenceFrontiers in Artificial Intelligence and Applications
Period1/01/18 → …

Fingerprint

topology
learning
Linguistics
modeling
E-learning
Fuzzy rules
Fuzzy sets
Topology
trial
Uncertainty

Cite this

Peña Ayala, A. (2009). Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping. In Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping (pp. 283-290). (Frontiers in Artificial Intelligence and Applications; Vol. 200). https://doi.org/10.3233/978-1-60750-028-5-283
Peña Ayala, Alejandro. / Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping. Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping. 2009. pp. 283-290 (Frontiers in Artificial Intelligence and Applications).
@inproceedings{b6e0495bd04f4f50a2592c37cce7a626,
title = "Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping",
abstract = "This research deals with two issues for learner modeling: uncertainty and multiple perspectives. Hence, it proposes a process called cognitive mapping to acquire and describe objects of a domain of study, and set fuzzy-causal relationships among them. Objects are characterized as linguistic variables that are instantiated by linguistic terms; whereas relations are outlined by means of fuzzy-rule bases. So objects and relations are statements of qualitative knowledge that are measured in terms of nature and degrees of bias to reveal uncertainty. The representation of multiple perspectives of the learner is sketched through the topology of a cognitive map and the qualitative measures attached to objects and relationships. This approach was tested in an E-learning trial, its outcomes show the effectiveness of the learner model to enhance the apprenticeship of volunteers due to the successfully handle of uncertainty and multiple perspectives. {\circledC} 2009 The authors and IOS Press. All rights reserved.",
author = "{Pe{\~n}a Ayala}, Alejandro",
year = "2009",
month = "1",
day = "1",
doi = "10.3233/978-1-60750-028-5-283",
language = "American English",
isbn = "9781607500285",
series = "Frontiers in Artificial Intelligence and Applications",
pages = "283--290",
booktitle = "Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping",

}

Peña Ayala, A 2009, Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping. in Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping. Frontiers in Artificial Intelligence and Applications, vol. 200, pp. 283-290, Frontiers in Artificial Intelligence and Applications, 1/01/18. https://doi.org/10.3233/978-1-60750-028-5-283

Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping. / Peña Ayala, Alejandro.

Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping. 2009. p. 283-290 (Frontiers in Artificial Intelligence and Applications; Vol. 200).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

TY - GEN

T1 - Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping

AU - Peña Ayala, Alejandro

PY - 2009/1/1

Y1 - 2009/1/1

N2 - This research deals with two issues for learner modeling: uncertainty and multiple perspectives. Hence, it proposes a process called cognitive mapping to acquire and describe objects of a domain of study, and set fuzzy-causal relationships among them. Objects are characterized as linguistic variables that are instantiated by linguistic terms; whereas relations are outlined by means of fuzzy-rule bases. So objects and relations are statements of qualitative knowledge that are measured in terms of nature and degrees of bias to reveal uncertainty. The representation of multiple perspectives of the learner is sketched through the topology of a cognitive map and the qualitative measures attached to objects and relationships. This approach was tested in an E-learning trial, its outcomes show the effectiveness of the learner model to enhance the apprenticeship of volunteers due to the successfully handle of uncertainty and multiple perspectives. © 2009 The authors and IOS Press. All rights reserved.

AB - This research deals with two issues for learner modeling: uncertainty and multiple perspectives. Hence, it proposes a process called cognitive mapping to acquire and describe objects of a domain of study, and set fuzzy-causal relationships among them. Objects are characterized as linguistic variables that are instantiated by linguistic terms; whereas relations are outlined by means of fuzzy-rule bases. So objects and relations are statements of qualitative knowledge that are measured in terms of nature and degrees of bias to reveal uncertainty. The representation of multiple perspectives of the learner is sketched through the topology of a cognitive map and the qualitative measures attached to objects and relationships. This approach was tested in an E-learning trial, its outcomes show the effectiveness of the learner model to enhance the apprenticeship of volunteers due to the successfully handle of uncertainty and multiple perspectives. © 2009 The authors and IOS Press. All rights reserved.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=73149098366&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=73149098366&origin=inward

U2 - 10.3233/978-1-60750-028-5-283

DO - 10.3233/978-1-60750-028-5-283

M3 - Conference contribution

SN - 9781607500285

T3 - Frontiers in Artificial Intelligence and Applications

SP - 283

EP - 290

BT - Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping

ER -

Peña Ayala A. Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping. In Handling uncertainty and multiple perspectives for learner modeling by cognitive mapping. 2009. p. 283-290. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-60750-028-5-283