Cognitive Maps: an Overview and their Application for Student Modeling
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| Format: | Artículo científico |
| Language: | en |
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Instituto Politécnico Nacional
2007
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| _version_ | 1876433977299959808 |
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| author | Agustin Gutiérrez |
| author_facet | Agustin Gutiérrez |
| contents | Cognitive Maps: an Overview and their Application for Student Modeling Agustin Gutiérrez Alejandro Peña Humberto Sossa Computación Causal Concepts Cognitive Maps Causal inference and Student Model In this paper we state how Cognitive Maps can be used to model causal phenomena. In addition, we show the application of the Cognitive Maps to the field of the Student Modeling. Conceptually speaking, Cognitive Maps set and simulate the systems dynamics based upon qualitative knowledge. A Cognitive Map is a tool that gives away the entities of the issue of study. Moreover, Cognitive Maps bring out the causal phenomena as cause-effect relationships between concepts. According to the relationships, a topology and a workflow of causal effects is designed. Cognitive Maps aim to predict the evolution of a model through simulation. During the process are achieved causal inferences that estimate the variation on the state of the concepts. The simulation breaks down when the concept values reach a fixed point, a pattern of states or a chaotic region in the search space. Wherefore, in this paper we depict the underlying concepts for Causal Modeling by means of Cognitive Maps. In addition, three versions of Cognitive Maps are outlined. Besides to reveal their mathematical baseline, we illustrate their application through the development of a case of study focus on Student Model 2007 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61509803 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.10 |
| format | Artículo científico |
| id | redalyc_61509803 |
| institution | Redalyc |
| language | en |
| publishDate | 2007 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Cognitive Maps: an Overview and their Application for Student Modeling Agustin Gutiérrez Computación Causal Concepts Cognitive Maps Causal inference and Student Model Cognitive Maps: an Overview and their Application for Student Modeling Agustin Gutiérrez Alejandro Peña Humberto Sossa Computación Causal Concepts Cognitive Maps Causal inference and Student Model In this paper we state how Cognitive Maps can be used to model causal phenomena. In addition, we show the application of the Cognitive Maps to the field of the Student Modeling. Conceptually speaking, Cognitive Maps set and simulate the systems dynamics based upon qualitative knowledge. A Cognitive Map is a tool that gives away the entities of the issue of study. Moreover, Cognitive Maps bring out the causal phenomena as cause-effect relationships between concepts. According to the relationships, a topology and a workflow of causal effects is designed. Cognitive Maps aim to predict the evolution of a model through simulation. During the process are achieved causal inferences that estimate the variation on the state of the concepts. The simulation breaks down when the concept values reach a fixed point, a pattern of states or a chaotic region in the search space. Wherefore, in this paper we depict the underlying concepts for Causal Modeling by means of Cognitive Maps. In addition, three versions of Cognitive Maps are outlined. Besides to reveal their mathematical baseline, we illustrate their application through the development of a case of study focus on Student Model 2007 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61509803 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.10 |
| title | Cognitive Maps: an Overview and their Application for Student Modeling |
| topic | Computación Causal Concepts Cognitive Maps Causal inference and Student Model |
| url | https://www.redalyc.org/articulo.oa?id=61509803 |