e-Learning Material Presentation and Visualization Types and Schemes

Nauris Paulins, Signe Balina, Irina Arhipova


Multimedia and content visualisation provide ability to transform electronic materials into more dynamic format. This can provide positive aspect on learning, but also can overload the limited information processing capacity in human brains. Cognitive load in technology-enhanced learning is closely related to the learning styles of learners. This study examines interactions between learning styles of students and how these are related to student’s working memory and cognitive traits. To investigate the learning styles of learners the Felder- Soloman questionnaire was chosen. It allows analyse students’ learning styles with respect to the Felder-Silverman learning style model, which is the most appropriate for a web-based learning. Also the interaciton between cognitive traits and learning styles is analysed. The results of this analysis prove the importance of multimodal learning in technology-enhanced learning. Also some relationships between learners with higher working memory capacity and learners with lower working memory capacity were demonstrated. The results will help to improve students’ model for better adaptivity of learning materials.


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Paper Citation

in Harvard Style

Paulins N., Balina S. and Arhipova I. (2014). e-Learning Material Presentation and Visualization Types and Schemes . In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-758-029-1, pages 138-143. DOI: 10.5220/0004968501380143

in Bibtex Style

author={Nauris Paulins and Signe Balina and Irina Arhipova},
title={e-Learning Material Presentation and Visualization Types and Schemes},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},

in EndNote Style

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - e-Learning Material Presentation and Visualization Types and Schemes
SN - 978-989-758-029-1
AU - Paulins N.
AU - Balina S.
AU - Arhipova I.
PY - 2014
SP - 138
EP - 143
DO - 10.5220/0004968501380143