Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Is artificial intelligence sufficiently ready for the Turkish dentistry-specialty-exam?
0
Zitationen
4
Autoren
2024
Jahr
Abstract
The main purpose of this research is to examine the impact of artificial intelligence (Al) on the field of education, especially the relationship between the success of candidates in the dentistry-specialty-exam and the success of artificial intelligence supported chatbots. We used ten questions prepared in a private educational institution called DUSDATA-Tr, which were used in the preparation process for the dentistry-specialty-exam. These ten questions were answered by 657 students and Al programs called ChatGPT, Bard, and Bing, which have Turkish language features. SPSS 25 (IBM, Corp.) was used for statistical analysis. Descriptive statistics for each variable were calculated and data were analyzed with Pearson chi-square test (p<0.05). The results showed that Questions 4 and 10 have the highest success rate, but Question 2 has the lowest. While the ChatGPT correctly answered the 1st, 5th and 10th Questions, the Barg correctly answered the 7th and 8th Questions, and the Bing correctly answered the 5th and 10th Questions. There was no difference between the correct and incorrect response rates of Al programs (p = 0.942). Question difficulty was negatively correlated with the Bing program (r =-0.34), (p<0.05). This research has revealed differences in the accuracy of different AI-programs' responses to educational materials and specific questions. Although the statistical results show that these differences are not statistically significant, they provide important insights into the development of Al-programs and their potential use in education.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.336 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.207 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.607 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.476 Zit.