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

Dependencies between Pre-existing and Newly Obtained Knowledge

Authors
Sylvia Encheva
Corresponding Author
Sylvia Encheva
Available Online January 2016.
DOI
https://doi.org/10.2991/icaita-16.2016.30How to use a DOI?
Keywords
event sequences; frequent patterns; mathematical competancies
Abstract
Computation skills in mathematics play an essential role in developing students’ abilities to handle procedurally oriented tasks. Reasoning on the other hand, being a higher-order cognitive ability, supports recognition of patterns and relationships. Finding correlations between students’ performance results over a period of time can provide important inside explanations about what makes part of the learners to actively use previously obtained knowledge in their future studies while others merely possess it.
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This is an open access article distributed under the CC BY-NC license.

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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
978-94-6252-162-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaita-16.2016.30How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Sylvia Encheva
PY  - 2016/01
DA  - 2016/01
TI  - Dependencies between Pre-existing and Newly Obtained Knowledge
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 121
EP  - 123
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.30
DO  - https://doi.org/10.2991/icaita-16.2016.30
ID  - Encheva2016/01
ER  -