What Learning Strategies are Used by Programming Students? A Qualitative Study Grounded on the Self-regulation of Learning Theory

IF 3.2 3区 工程技术 Q1 EDUCATION, SCIENTIFIC DISCIPLINES ACM Transactions on Computing Education Pub Date : 2023-12-06 DOI:10.1145/3635720
Leonardo Silva, António Mendes, Anabela Gomes, Gabriel Fortes
{"title":"What Learning Strategies are Used by Programming Students? A Qualitative Study Grounded on the Self-regulation of Learning Theory","authors":"Leonardo Silva, António Mendes, Anabela Gomes, Gabriel Fortes","doi":"10.1145/3635720","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":48764,"journal":{"name":"ACM Transactions on Computing Education","volume":" 9","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Computing Education","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1145/3635720","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
引用次数: 0

Abstract

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
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。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Evaluating ChatGPT-4 Vision on Brazil’s National Undergraduate Computer Science Exam Understanding Informatics in Continuing Vocational Education and Training Data in Germany Intent and Extent: Computer Science Concepts and Practices in Integrated Computing Creating Apps for Community and Social Good: Preliminary Learning Outcomes from a Middle School Computer Science Curriculum Doing and Defining Interdisciplinarity in Undergraduate Computing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1