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
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.

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-16.2016.30
ISSN
1951-6851
DOI
10.2991/icaita-16.2016.30How 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  - 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  - 10.2991/icaita-16.2016.30
ID  - Encheva2016/01
ER  -