Content area

Abstract

This teaching tip explores the integration of AI tools into database education. The author describes how instructors can use AI tools to prepare teaching materials and how students can use AI to facilitate database development. The teaching tips provided encompass both course-level objectives and assignment-specific strategies. The inclusion of AI prompts and the comprehensive coverage of tasks indicates an integrated approach to enhancing overall course delivery while providing specific guidance on individual assignments. Surveys and email interviews with students revealed positive feedback regarding the AI-integrated assignments. Students found AI tools helpful for learning database concepts, developing databases, understanding SQL code, and improving their problem-solving and critical thinking skills. Additionally, students expressed a desire for further learning in prompt engineering and better communication with AI tools. Although student feedback is positive, educators must also consider challenges such as over-reliance on AI and the need to train students in critical thinking and problem-solving skills. Designing assignments that require reflections and detailed documentation of the problem-solving process could be an effective approach. The detailed process and associated materials in the appendices provide useful resources for instructors who want to incorporate AI tools into their database courses.

Details

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Business indexing term
Company / organization
Title
Incorporating AI Tools Into Database Classes
Author
Zhang, Xiaoni 1 

 Department of Management, Information Systems and Quantitative Methods University of Alabama at Birmingham Birmingham, AL 35294, USA 
Publication title
Volume
36
Issue
1
Pages
37-52
Publication year
2025
Publication date
Winter 2025
Section
Teaching Tip
Publisher
EDSIG
Place of publication
West Lafayette
Country of publication
United States
ISSN
10553096
e-ISSN
25743872
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3174479351
Document URL
https://www.proquest.com/scholarly-journals/incorporating-ai-tools-into-database-classes/docview/3174479351/se-2?accountid=208611
Copyright
Copyright EDSIG Winter 2025
Last updated
2025-11-14
Database
2 databases
  • Education Research Index
  • ProQuest One Academic