This paper explores the potential of text-generating AI tools to support database engineering teachers in flipped classroom scenarios where students learn to use the Structured Query Language (SQL). We propose a web-based learning environment called aDBenture as a tool for SQL training. However, even if a tool like aDBenture is available, the development of suitable materials such as semantic data models, sample databases, SQL exercises and sample solutions for use in class requires a great deal of creativity and time from teachers. This paper will specifically demonstrate the potential of text-generating AI to support teachers in developing exercises for aDBenture. Alternatively, the results can also be used in other SQL environments. The aim of the paper is to enable the teacher to provide students with a more personalized SQL learning experience while saving time and effort.

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Facilitate Flipped SQL-Classrooms with Text-Generating AI

  • Claudia Steinberger,
  • Aron Wedam

摘要

This paper explores the potential of text-generating AI tools to support database engineering teachers in flipped classroom scenarios where students learn to use the Structured Query Language (SQL). We propose a web-based learning environment called aDBenture as a tool for SQL training. However, even if a tool like aDBenture is available, the development of suitable materials such as semantic data models, sample databases, SQL exercises and sample solutions for use in class requires a great deal of creativity and time from teachers. This paper will specifically demonstrate the potential of text-generating AI to support teachers in developing exercises for aDBenture. Alternatively, the results can also be used in other SQL environments. The aim of the paper is to enable the teacher to provide students with a more personalized SQL learning experience while saving time and effort.