编程学生使用什么学习策略?基于学习自我调节理论的定性研究

IF 3.2 3区 工程技术 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Leonardo Silva, António Mendes, Anabela Gomes, Gabriel Fortes
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引用次数: 0

摘要

在包括编程教育在内的多种教育环境中,学习自我调节能力(SRL)是学业成功的必要能力。然而,对学生在编程学习过程中如何自我调节的理解仍然有限。本探索性研究旨在调查51名编程入门课程学生的外部化管理策略。目的是确定这些学生在学习过程的多个阶段使用的SRL策略,并比较高绩效和低绩效学生的SRL行为。以下研究问题指导了本次调查:RQ1)编程学生使用的学习策略有哪些规律?RQ2)高水平和低水平学生使用的SRL策略有何不同?研究结果表明,学习编程涉及复杂的心理资源(如认知、元认知、行为、动机和情感),并且学生的SRL技能存在异质性。此外,表现优异和表现不佳的学生在如何调节方面表现出显著差异,这有助于理解可能有助于学习编程的因素。最后,我们认为,为了分析SRL策略,有必要考虑编程教育的特殊性,这促使了概念框架的发展,以描述该学习领域中已确定的策略和监管阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Learning Strategies are Used by Programming Students? A Qualitative Study Grounded on the Self-regulation of Learning Theory

Self-regulation of learning (SRL) is an essential ability for academic success in multiple educational contexts, including programming education. However, understanding how students regulate themselves during programming learning is still limited. This exploratory research aimed to investigate the regulatory strategies externalized by 51 students enrolled in an introductory programming course. The objective was to identify the SRL strategies used by these students during multiple phases of the learning process and compare the SRL behavior of high and low-performers. The following research questions guided this investigation: RQ1) What regulation of learning strategies are used by programming students?; and RQ2) How do the SRL strategies used by high and low-performing students differ?. The findings demonstrate that learning to program involves complex psychological resources (e.g., cognition, metacognition, behavior, motivation, and emotion) and that students present heterogeneity in their SRL repertoire. In addition, high and low-performing students showed significant differences in how they regulate, which can contribute to understanding the factors that may contribute to learning programming. Lastly, we argue that for analyzing SRL strategies, it is necessary to consider the specificities of programming education, which motivated the development of a conceptual framework to describe the identified strategies and regulatory phases in this learning domain.

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来源期刊
ACM Transactions on Computing Education
ACM Transactions on Computing Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
6.50
自引率
16.70%
发文量
66
期刊介绍: ACM Transactions on Computing Education (TOCE) (formerly named JERIC, Journal on Educational Resources in Computing) covers diverse aspects of computing education: traditional computer science, computer engineering, information technology, and informatics; emerging aspects of computing; and applications of computing to other disciplines. The common characteristics shared by these papers are a scholarly approach to teaching and learning, a broad appeal to educational practitioners, and a clear connection to student learning.
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