An Evaluation of a Customizable Ontology-driven Language Learning Support System

In this paper, we investigate, from learning style perspective, the main factors that affect the learning performance of the learner while using learning support systems. An experiment was conducted to evaluate two different modes of a customizable language learning support system. Students in experimental group A, who were provided with both visual and verbal learning objects, had more difficulty to focus on study compared to those in experimental group B, who were provided with only the learning objects matching their learning style while both using the system. Moreover, 53.3% of students in experimental group A believed the type of LOs, which they preferred more and felt more comfortable with, was not the type of LOs which was more effective for their learning.

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Publication Details

Journal
International Conference on Computers in Education
Published
2024-08-26
DOI
https://doi.org/10.58459/icce.2013.19
Citations
2
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

An Evaluation of a Customizable Ontology-driven Language Learning Support System

Takahiko Mendori, Jingyun Wang
2 citations
International Conference on Computers in Education
Natural Language Processing Techniques
article

An Evaluation of a Customizable Ontology-driven Language Learning Support System

Takahiko Mendori, Jingyun Wang
article en
2 citations

Abstract

In this paper, we investigate, from learning style perspective, the main factors that affect the learning performance of the learner while using learning support systems. An experiment was conducted to evaluate two different modes of a customizable language learning support system. Students in experimental group A, who were provided with both visual and verbal learning objects, had more difficulty to focus on study compared to those in experimental group B, who were provided with only the learning objects matching their learning style while both using the system. Moreover, 53.3% of students in experimental group A believed the type of LOs, which they preferred more and felt more comfortable with, was not the type of LOs which was more effective for their learning.

International Conference on Computers in Education
Kochi University of Technology (JP), Xiamen University of Technology (CN)
Quality Education
Openalex Percentile: Top 100%
Natural Language Processing Techniques
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An Evaluation of a Customizable Ontology-driven Language Learning Support System — Takahiko Mendori, Jingyun Wang · International Conference on Computers in Education (2024) | TGRS Research Map | TGRS