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

High Order Thinking Skills and Their Effect on Knowledge Accumulation

Authors
Sylvia Encheva
Corresponding Author
Sylvia Encheva
Available Online January 2016.
DOI
https://doi.org/10.2991/icaita-16.2016.31How to use a DOI?
Keywords
logic; learning; graphs
Abstract
Knowledge and skills students gather for a period of time is difficult to estimate. Learning is effected by a number of factors and prior knowledge is among the very important ones. Despite existence of a substantial amount of tests for assessing newly obtained knowledge and skills, there is still a need to provide tailored responses to answers students submit by connecting those answers to their prior knowledge. Lattice structures prove themselves to be especially useful for unveiling dependences among various factors.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

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-16.2016.31How 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  - High Order Thinking Skills and Their Effect on Knowledge Accumulation
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 124
EP  - 127
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.31
DO  - https://doi.org/10.2991/icaita-16.2016.31
ID  - Encheva2016/01
ER  -