Cite Article

CARINA based Cognitive Agent for Factoid Wh-Questions Generation in EFL

Choose citation format

BibTeX

@article{IJASEIT10138,
   author = {Ana Luz Espinosa-Lopez and Adán Alberto Gómez-Salgado and Danilza del Carmen Lorduy-Arellano},
   title = {CARINA based Cognitive Agent for Factoid Wh-Questions Generation in EFL},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {5},
   year = {2020},
   pages = {1852--1859},
   keywords = {cognitive agent; factoid-WH question; CARINA.},
   abstract = {

The Metacognitive Architecture CARINA is used to execute cognitive agents. CARINA is defined as a metacognitive architecture for artificially intelligent agents and is derived from the MISM Metacognitive Metamodel. A Factoid WH- question (FWhQ) is an interrogative statement that begins with a WH word (when, what, where, who, which) and gives a fact as answer reflected in the text. A Cognitive Agent is an entity of software that perceives stimulus from its external environment to achieve its goals selecting actions from its internal knowledge rationally. The problem which is tackled in this research is the need to offer and develop educational resources enabling foreign language learners to better cope with this type of questions, problem perceived as a priority in the Foreign Language Program at Universidad de Cordoba. This paper aims at reporting the design of a Cognitive Agent-based on Metacognitive architecture CARINA for the generation of Factoid WH- Questions. The methodology used in this study involved the cognitive modelling designed for this purpose, which consists of seven steps and the application of a test for validation based on 2 research questions focused on two specific dimensions: Readability and Potential Usefulness. Results showed that cognitive models based in M++ are easy to read and allows understanding the relations among different elements of a cognitive model. This allowed a cognitive agent to be developed to answer Factoid questions in English.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10138},    doi = {10.18517/ijaseit.10.5.10138} }

EndNote

%A Espinosa-Lopez, Ana Luz
%A Gómez-Salgado, Adán Alberto
%A Lorduy-Arellano, Danilza del Carmen
%D 2020
%T CARINA based Cognitive Agent for Factoid Wh-Questions Generation in EFL
%B 2020
%9 cognitive agent; factoid-WH question; CARINA.
%! CARINA based Cognitive Agent for Factoid Wh-Questions Generation in EFL
%K cognitive agent; factoid-WH question; CARINA.
%X 

The Metacognitive Architecture CARINA is used to execute cognitive agents. CARINA is defined as a metacognitive architecture for artificially intelligent agents and is derived from the MISM Metacognitive Metamodel. A Factoid WH- question (FWhQ) is an interrogative statement that begins with a WH word (when, what, where, who, which) and gives a fact as answer reflected in the text. A Cognitive Agent is an entity of software that perceives stimulus from its external environment to achieve its goals selecting actions from its internal knowledge rationally. The problem which is tackled in this research is the need to offer and develop educational resources enabling foreign language learners to better cope with this type of questions, problem perceived as a priority in the Foreign Language Program at Universidad de Cordoba. This paper aims at reporting the design of a Cognitive Agent-based on Metacognitive architecture CARINA for the generation of Factoid WH- Questions. The methodology used in this study involved the cognitive modelling designed for this purpose, which consists of seven steps and the application of a test for validation based on 2 research questions focused on two specific dimensions: Readability and Potential Usefulness. Results showed that cognitive models based in M++ are easy to read and allows understanding the relations among different elements of a cognitive model. This allowed a cognitive agent to be developed to answer Factoid questions in English.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10138 %R doi:10.18517/ijaseit.10.5.10138 %J International Journal on Advanced Science, Engineering and Information Technology %V 10 %N 5 %@ 2088-5334

IEEE

Ana Luz Espinosa-Lopez,Adán Alberto Gómez-Salgado and Danilza del Carmen Lorduy-Arellano,"CARINA based Cognitive Agent for Factoid Wh-Questions Generation in EFL," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 5, pp. 1852-1859, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.5.10138.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Espinosa-Lopez, Ana Luz
AU  - Gómez-Salgado, Adán Alberto
AU  - Lorduy-Arellano, Danilza del Carmen
PY  - 2020
TI  - CARINA based Cognitive Agent for Factoid Wh-Questions Generation in EFL
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 5
Y2  - 2020
SP  - 1852
EP  - 1859
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - cognitive agent; factoid-WH question; CARINA.
N2  - 

The Metacognitive Architecture CARINA is used to execute cognitive agents. CARINA is defined as a metacognitive architecture for artificially intelligent agents and is derived from the MISM Metacognitive Metamodel. A Factoid WH- question (FWhQ) is an interrogative statement that begins with a WH word (when, what, where, who, which) and gives a fact as answer reflected in the text. A Cognitive Agent is an entity of software that perceives stimulus from its external environment to achieve its goals selecting actions from its internal knowledge rationally. The problem which is tackled in this research is the need to offer and develop educational resources enabling foreign language learners to better cope with this type of questions, problem perceived as a priority in the Foreign Language Program at Universidad de Cordoba. This paper aims at reporting the design of a Cognitive Agent-based on Metacognitive architecture CARINA for the generation of Factoid WH- Questions. The methodology used in this study involved the cognitive modelling designed for this purpose, which consists of seven steps and the application of a test for validation based on 2 research questions focused on two specific dimensions: Readability and Potential Usefulness. Results showed that cognitive models based in M++ are easy to read and allows understanding the relations among different elements of a cognitive model. This allowed a cognitive agent to be developed to answer Factoid questions in English.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10138 DO - 10.18517/ijaseit.10.5.10138

RefWorks

RT Journal Article
ID 10138
A1 Espinosa-Lopez, Ana Luz
A1 Gómez-Salgado, Adán Alberto
A1 Lorduy-Arellano, Danilza del Carmen
T1 CARINA based Cognitive Agent for Factoid Wh-Questions Generation in EFL
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 5
YR 2020
SP 1852
OP 1859
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 cognitive agent; factoid-WH question; CARINA.
AB 

The Metacognitive Architecture CARINA is used to execute cognitive agents. CARINA is defined as a metacognitive architecture for artificially intelligent agents and is derived from the MISM Metacognitive Metamodel. A Factoid WH- question (FWhQ) is an interrogative statement that begins with a WH word (when, what, where, who, which) and gives a fact as answer reflected in the text. A Cognitive Agent is an entity of software that perceives stimulus from its external environment to achieve its goals selecting actions from its internal knowledge rationally. The problem which is tackled in this research is the need to offer and develop educational resources enabling foreign language learners to better cope with this type of questions, problem perceived as a priority in the Foreign Language Program at Universidad de Cordoba. This paper aims at reporting the design of a Cognitive Agent-based on Metacognitive architecture CARINA for the generation of Factoid WH- Questions. The methodology used in this study involved the cognitive modelling designed for this purpose, which consists of seven steps and the application of a test for validation based on 2 research questions focused on two specific dimensions: Readability and Potential Usefulness. Results showed that cognitive models based in M++ are easy to read and allows understanding the relations among different elements of a cognitive model. This allowed a cognitive agent to be developed to answer Factoid questions in English.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10138 DO - 10.18517/ijaseit.10.5.10138