Use of Artificial Intelligence in Educational Research in the Context of Other Solution Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F25%3AA2603BL3" target="_blank" >RIV/61988987:17450/25:A2603BL3 - isvavai.cz</a>
Result on the web
<a href="https://sklep.uniwersytetradom.pl/pl/c/Ksiazki/" target="_blank" >https://sklep.uniwersytetradom.pl/pl/c/Ksiazki/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Use of Artificial Intelligence in Educational Research in the Context of Other Solution Methods
Original language description
In educational research and other scientific disciplines, we often encounter the need to analyze relationships between different variables. For this purpose, statistical methods such as correlation analysis and regression analysis are used. Correlation helps determine whether there is a relationship between two variables and how strong that relationship is. Regression, on the other hand, is used to predict the value of one variable based on the value of another variable. In this article, we will focus on demonstrating these methods using a specific example, analyzing the relationship between students' scores in a pre-test and a post-test. The analysis will be conducted using PAST and Microsoft Excel, which are commonly available tools for statistical data processing. The obtained results will then be compared with predictions generated by artificial intelligence, allowing us to evaluate the accuracy and advantages of traditional statistical methods compared to modern machine learning approaches.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50301 - Education, general; including training, pedagogy, didactics [and education systems]
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
21st Century Computer Science - Challlenges and Dilemmas
ISBN
978-83-68172-25-6
Number of pages of the result
12
Pages from-to
87-98
Number of pages of the book
155
Publisher name
Uniwersytet Radomski
Place of publication
Radom
UT code for WoS chapter
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