Review of Cognitive Energy Flow Model Concept for Virtual Student

Viktors Zagorskis, Atis Kapenieks

2019

Abstract

Data analysis in Virtual Learning Environment deepens the understanding of cognition processes in real student’s brain. The challenge is the evaluation of the quality of e-learning courses before the large-scale implementation. With this aim, we formulate the concept for a computer model for Virtual Student’s evolution. We combine knowledge elements explored from learners behavior data and cognitive theories. We assume that some of the brains energy flow expenses in learning and memorization are due to energy extraction for applying existing skills, analysis of accumulated knowledge, and adaptation of newly available information. We argue that the proposed Virtual Student model can perform cognitive energy flow modeling by extracting energy from the environmental learning objects and losing the power in a tedious learning process. The research shows that Cognitive Energy Flow model can be computerized to produce synthetic data to improve e-learning courses and predict real student’s behavior.

Paper Citation

in Harvard Style

Zagorskis V. and Kapenieks A. (2019). Review of Cognitive Energy Flow Model Concept for Virtual Student.In Proceedings of the 11th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-367-4, pages 542-549. DOI: 10.5220/0007768205420549

in Bibtex Style

@conference{csedu19,
author={Viktors Zagorskis and Atis Kapenieks},
title={Review of Cognitive Energy Flow Model Concept for Virtual Student},
booktitle={Proceedings of the 11th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2019},
pages={542-549},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007768205420549},
isbn={978-989-758-367-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Review of Cognitive Energy Flow Model Concept for Virtual Student
SN - 978-989-758-367-4
AU - Zagorskis V.
AU - Kapenieks A.
PY - 2019
SP - 542
EP - 549
DO - 10.5220/0007768205420549