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

Daphne Miedema, Efthimia Aivaloglou, G. Fletcher
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引用次数: 20

Abstract

SQL is the most commonly taught database query language. While previous research has investigated the errors made by novices during SQL query formulation, the underlying causes for these errors have remained unexplored. Understanding the basic misconceptions held by novices which lead to these errors would help improve how we teach query languages to our students. In this paper we aim to identify the misconceptions that might be the causes of documented SQL errors that novices make. To this end, we conducted a qualitative think-aloud study to gather information on the thinking process of university students while solving query formulation problems. With the queries in hand, we analyzed the underlying causes for the errors made by our participants. In this paper we present the identified SQL misconceptions organized into four top-level categories: misconceptions based in previous course knowledge, generalization-based misconceptions, language-based misconceptions, and misconceptions due to an incomplete or incorrect mental model. A deep exploration of misconceptions can uncover gaps in instruction. By drawing attention to these, we aim to improve SQL education.
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识别初学者的SQL误解:来自一项有声思考研究的发现
SQL是最常用的数据库查询语言。虽然以前的研究已经调查了新手在SQL查询制定过程中所犯的错误,但这些错误的潜在原因仍然没有被探索。了解初学者所持有的导致这些错误的基本误解将有助于改进我们向学生教授查询语言的方式。在本文中,我们的目标是找出可能是新手所犯的SQL文档错误的原因的误解。为此,我们进行了一项定性的有声思维研究,以收集大学生在解决查询提法问题时的思维过程信息。有了这些查询,我们分析了参与者犯错误的潜在原因。在本文中,我们将识别出的SQL错误分为四类:基于先前课程知识的错误,基于泛化的错误,基于语言的错误,以及由于不完整或不正确的心智模型而导致的错误。对误解的深入探索可以发现教学中的漏洞。通过引起人们对这些问题的注意,我们的目标是改进SQL教育。
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