Enhancing SQL Learning Through Generative AI and Student Error Analysis

doi:10.1007/978-3-032-05727-3_12

2026-01-01

PRE

Davide Ponzini *

Barbara Catania

Giovanna Guerrini

DOI：10.1007/978-3-032-05727-3_12

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摘要

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尽管SQL在学术和专业领域被广泛应用，学生往往由于各种语法和语义误解而难以编写正确的查询。本研究提出了一种以错误为中心的SQL学习框架，该框架整合了生成式人工智能和自动化错误分类，以促进元认知参与并提供个性化支持。

Keyword:

SQL learning

generative AI

error analysis

metacognitive engagement

personalized learning

期刊

NEW TRENDS IN DATABASE AND INFORMATION SYSTEMS, ADBIS 2025

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论文数:

被引数:

机构

university of genoa

学者数:

3.0W

论文数: 2.2W

被引数: 20

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