An Agent-Based Modeling for a Reader’s Cognitive Load and Performance

Reading performance and cognitive load play an important role to facilitate learners to learn, memorize, and understand a novel piece of information.The cognitive demands of the reading tasks for solving complicated problems, when using poor learning materials, or in a distraction condition such as...

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Main Authors: Ghanimi, Hayder M. A., Ab. Aziz, Azizi, Ahmad, Faudziah
Format: Article
Published: American Scientific Publisher 2018
Subjects:
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author Ghanimi, Hayder M. A.
Ab. Aziz, Azizi
Ahmad, Faudziah
author_facet Ghanimi, Hayder M. A.
Ab. Aziz, Azizi
Ahmad, Faudziah
author_sort Ghanimi, Hayder M. A.
collection UUM
description Reading performance and cognitive load play an important role to facilitate learners to learn, memorize, and understand a novel piece of information.The cognitive demands of the reading tasks for solving complicated problems, when using poor learning materials, or in a distraction condition such as noise or interruptions, can have a significant impact on reading performance. These conditions can impair the reading performance, and may thus deter effective learning experience. In this paper, an agent computational model is proposed. Different types of relations between extraneous, intrinsic, and germane loads were used to analyze the reader’s performance over time. Simulation experiments under different conditions and parameters setting showed that the model is able to produce realistic behaviour when tested on different types of personalities and conditions. Through mathematical analysis, the equilibria of the model was determined.
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institution Universiti Utara Malaysia
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publisher American Scientific Publisher
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spelling uum-241262018-05-27T06:16:55Z https://repo.uum.edu.my/id/eprint/24126/ An Agent-Based Modeling for a Reader’s Cognitive Load and Performance Ghanimi, Hayder M. A. Ab. Aziz, Azizi Ahmad, Faudziah QA75 Electronic computers. Computer science Reading performance and cognitive load play an important role to facilitate learners to learn, memorize, and understand a novel piece of information.The cognitive demands of the reading tasks for solving complicated problems, when using poor learning materials, or in a distraction condition such as noise or interruptions, can have a significant impact on reading performance. These conditions can impair the reading performance, and may thus deter effective learning experience. In this paper, an agent computational model is proposed. Different types of relations between extraneous, intrinsic, and germane loads were used to analyze the reader’s performance over time. Simulation experiments under different conditions and parameters setting showed that the model is able to produce realistic behaviour when tested on different types of personalities and conditions. Through mathematical analysis, the equilibria of the model was determined. American Scientific Publisher 2018 Article PeerReviewed Ghanimi, Hayder M. A. and Ab. Aziz, Azizi and Ahmad, Faudziah (2018) An Agent-Based Modeling for a Reader’s Cognitive Load and Performance. Advanced Science Letters, 24 (2). pp. 966-970. ISSN 1936-6612 http://doi.org/10.1166/asl.2018.10668 doi:10.1166/asl.2018.10668 doi:10.1166/asl.2018.10668
spellingShingle QA75 Electronic computers. Computer science
Ghanimi, Hayder M. A.
Ab. Aziz, Azizi
Ahmad, Faudziah
An Agent-Based Modeling for a Reader’s Cognitive Load and Performance
title An Agent-Based Modeling for a Reader’s Cognitive Load and Performance
title_full An Agent-Based Modeling for a Reader’s Cognitive Load and Performance
title_fullStr An Agent-Based Modeling for a Reader’s Cognitive Load and Performance
title_full_unstemmed An Agent-Based Modeling for a Reader’s Cognitive Load and Performance
title_short An Agent-Based Modeling for a Reader’s Cognitive Load and Performance
title_sort agent based modeling for a reader s cognitive load and performance
topic QA75 Electronic computers. Computer science
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