Identifying SQL Misconceptions of Novices: Findings from a Think-Aloud Study

被引：4

作者：

Miedema, Daphne ^{[1
]}

Aivaloglou, Efthimia ^{[2
]}

Fletcher, George ^{[1
]}

机构：

[1] Artificial Intelligence and Data Engineering (AIDE), Lab Eindhoven University of Technology, Eindhoven, Netherlands

[2] Open Universiteit Leiden, Institute of Advanced Computer Science Leiden, The Netherlands Open Universiteit, Heerlen, Netherlands

来源：

ACM Inroads | 2022年 / 13卷 / 01期

关键词：

Education computing;

D O I：

10.1145/3514214

中图分类号：

学科分类号：

摘要：

Have you ever struggled with writing a SQL query to retrieve data? Students certainly do. In this paper we set out to investigate why this is the case. The first step to making less mistakes, is to find the underlying reasons why these mistakes are made. Through a think-aloud study with 21 students we identified various SQL errors; and from these deduced 14 SQL misconceptions. The four reasons we found for mistakes are: interference of previous course knowledge, generalizing answers to questions where they do not fit, differences in language usage between SQL and natural language, and incomplete or incorrect mental models. © 2022 Association for Computing Machinery. All rights reserved.

引用

页码：52 / 65

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