<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Modern technologies have changed the landscape of teaching and learning in many ways, including introduction of computational support for knowledge assessment. Concept maps (CMs) can be used to externalise student’s internal knowledge structure in a form suitable for computer-aided assessment. Current CM-based knowledge assessment systems do not analyse semantics of CM elements. The paper represents a study designed to find out how big is the portion of a CM that is left unevaluated in default of semantic analysis.</p></abstract>

Modern technologies have changed the landscape of teaching and learning in many ways, including introduction of computational support for knowledge assessment. Concept maps (CMs) can be used to externalise student’s internal knowledge structure in a form suitable for computer-aided assessment. Current CM-based knowledge assessment systems do not analyse semantics of CM elements. The paper represents a study designed to find out how big is the portion of a CM that is left unevaluated in default of semantic analysis.

On Necessity of Semantic Analysis when Evaluating Concept Maps

Applied Computer Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"On Necessity of Semantic Analysis when Evaluating Concept Maps"}

Modern technologies have changed the landscape of teaching and learning in many ways, including introduction of computational support for knowledge assessment....

On Necessity of Semantic Analysis when Evaluating Concept Maps

Online veröffentlicht: 13. Juni 2017

Seitenbereich: 52 - 60

DOI: https://doi.org/10.1515/acss-2017-0007

Schlüsselwörter
Automated knowledge assessment, concept map, linking phrase, semantic analysis

© Riga Technical University

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

On Necessity of Semantic Analysis when Evaluating Concept Maps

Online veröffentlicht: 13. Juni 2017

Seitenbereich: 52 - 60

DOI: https://doi.org/10.1515/acss-2017-0007

SchlüsselwörterAutomated knowledge assessment, concept map, linking phrase, semantic analysis

© Riga Technical University

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Automated knowledge assessment, concept map, linking phrase, semantic analysis