AI2SQL.io: Empowering SQL Learning and SocialChange Through IT-Enabled Smart Tutoring in Computer Science and Engineering

In order to support query-based learning, this research focuses on the applications of an AI tool named AI2SQL.io in the instruction of computer science and engineering students in Structured Query Language (SQL). As the foundation for obtaining data from databases and manipulating vast volumes of data in a variety of vocations, SQL is essential to the field of data management. For computer science students, database knowledge and skills—especially SQL—are essential because they provide them with insights into the querying, altering, and analyzing of data—a crucial component of software engineering, data administration, and database management. Appropriate and effective techniques, including tutoring, which provide the student with individualised support, are particularly beneficial for learning SQL. It was noted that both situations allowed for the temporary usage of AI2SQL.io, as well as feedback to encourage selfdirected product immersion. In an effort to provide AI2SQL.io in a learning environment, this article reports on variations in student performance, practical SQL skills, and engagement levels. The article compares the efficacy of AI2SQL.io's case studies and effectiveness studies to other traditional tutoring methods, describing how the platform encouraged students to practise SQL outside of the classroom. The findings demonstrate that nearly all students made progress in both writing and composing SQL queries.