Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Investigation of Test Outcomes Supported by Graphs

Authors
Sylvia Encheva
Corresponding Author
Sylvia Encheva
Available Online January 2016.
DOI
10.2991/icaita-16.2016.7How to use a DOI?
Keywords
graphs; knowledge; assessment
Abstract

Students’ knowledge assessment has occupied the attention of many researches pertaining to different disciplines. Recent areas of interest in this regard include availability of preliminary skills and status of latest obtained knowledge, self-assessment, grading methods, tests, hints, help functions, etc. Involvement of smart technology in assessment processes is another important issue which rapidly gains popularity among students and lecturers. What seems to have received less attention in earlier studies is a way to establish whether apparent lack of knowledge is related to intrinsic or explicit terms and concepts. Application of selected graphs is put forward in this work in an attempt to increase the likelihood of an improved knowledge assessment.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
10.2991/icaita-16.2016.7
ISSN
1951-6851
DOI
10.2991/icaita-16.2016.7How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Sylvia Encheva
PY  - 2016/01
DA  - 2016/01
TI  - Investigation of Test Outcomes Supported by Graphs
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 27
EP  - 29
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.7
DO  - 10.2991/icaita-16.2016.7
ID  - Encheva2016/01
ER  -