| Tartalom: |
https://real.mtak.hu/216251/ |
| Archívum: |
REAL |
| Gyűjtemény: |
Status = Published
Subject = L Education / oktatás: L1 Education (General) / oktatás általában
Type = Article
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| Cím: |
Examining the Relationship Between the WTCAi System and Student Background Data in Modern Educational Assessment
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| Létrehozó: |
Karl, Éva
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| Kiadó: |
ST PRess
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| Dátum: |
2024-09
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| Téma: |
L1 Education (General) / oktatás általában
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| Tartalmi leírás: |
The study presents the latest development results of the WTCAi (When The Child Asks with AI) system, focusing on the correlations between student background data and academic performance. Students' family background, learning habits, and performance during the research were analysed using machine learning methods. The results show that the artificial intelligence-based approach can significantly improve the efficiency and personalisation of educational assessment. The study discusses the results of the developed prediction models and their practical application possibilities.
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| Nyelv: |
angol
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| Típus: |
Article
PeerReviewed
info:eu-repo/semantics/article
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| Formátum: |
text
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| Azonosító: |
Karl, Éva (2024) Examining the Relationship Between the WTCAi System and Student Background Data in Modern Educational Assessment. JOURNAL OF APPLIED TECHNICAL AND EDUCATIONAL SCIENCES, 14 (3). pp. 1-37. ISSN 2560-5429
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| Kapcsolat: |
389
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