Podrobná bibliografia
| Názov: |
The Impact of Text-to-SQL Systems on Student Performance and Satisfaction in SQL Tasks in Higher Education. |
| Autori: |
Čolić, Vladan, Sukić, Enes |
| Zdroj: |
Central European Conference on Information & Intelligent Systems; 2025, p477-487, 11p |
| Predmety: |
HIGHER education, SQL, NATURAL language processing, SATISFACTION, ACADEMIC achievement, STATISTICAL accuracy, TEACHING methods |
| Abstrakt: |
The paper consists of two main sections: theoretical and research-based. The first part presents the fundamental concepts of text-to-SQL systems, their operating principles, and the pedagogical foundations for their implementation in the teaching process. The second part of the paper outlines the results of a study aimed at examining the impact of using text-to-SQL tools (specifically ChatGPT) on students' performance in writing SQL queries. The analysis focused on task accuracy, completion time, and student satisfaction with the tool. The findings indicate a higher level of accuracy and efficiency in the group using these tools, accompanied by a generally positive user experience. [ABSTRACT FROM AUTHOR] |
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