Relationship Between Implicit Intelligence Beliefs and Maladaptive Self-Regulation of Learning

IF 3.2 3区 工程技术 Q1 EDUCATION, SCIENTIFIC DISCIPLINES ACM Transactions on Computing Education Pub Date : 2023-06-20 DOI:https://dl.acm.org/doi/10.1145/3595187
Abraham E. Flanigan, Markeya S. Peteranetz, Duane F. Shell, Leen-Kiat Soh
{"title":"Relationship Between Implicit Intelligence Beliefs and Maladaptive Self-Regulation of Learning","authors":"Abraham E. Flanigan, Markeya S. Peteranetz, Duane F. Shell, Leen-Kiat Soh","doi":"https://dl.acm.org/doi/10.1145/3595187","DOIUrl":null,"url":null,"abstract":"<p><b>Objectives</b>. Although prior research has uncovered shifts in <b>computer science (CS)</b> students’ implicit beliefs about the nature of their intelligence across time, little research has investigated the factors contributing to these changes. To address this gap, two studies were conducted in which the relationship between ineffective self-regulation of learning experiences and CS students’ implicit intelligence beliefs at different times during the semester was assessed.</p><p><b>Participants</b>. Participants for Studies 1 (n = 536) and 2 (n = 222) were undergraduate students enrolled in introductory- and upper-level CS courses at a large, public, Midwestern university. Race-ethnicity information was not collected due to IRB concerns about possible secondary identification of participants from underrepresented groups.</p><p><b>Study Method</b>. Participants completed a condensed version of the Implicit Theories of Intelligence Scale [16, 54] and the Lack of Regulation Scale from the Student Perceptions of Classroom Knowledge Building scale [51, 53] at the beginning (Studies 1 and 2), middle (Study 2), and end (Studies 1 and 2) of semester-long undergraduate CS courses. Survey responses were analyzed using path analyses to investigate how students’ lack of regulation experiences throughout the semester predicted their implicit intelligence beliefs at the beginning (Study 2) and end (Studies 1 and 2) of the semester.</p><p><b>Findings</b>. Results from Study 1 indicate that undergraduate CS students come to more strongly believe that their intelligence is a fixed, unchanging entity from the beginning until the end of the semester. Moreover, participants’ responses to the lack of regulation scale were predictive of their implicit intelligence beliefs at the end of the semester. Results from Study 2 indicate that ineffective self-regulation experiences early in the semester enhance CS students’ belief in the unchanging nature of intelligence (i.e., during the first half of the semester). Taken altogether, these findings provide evidence that self-regulation experiences influence students’ beliefs about the malleability of intelligence.</p><p><b>Conclusions</b>. Findings align with Bandura's [4] contention that students’ behaviors and experiences influence their values and beliefs. Students who experienced poor self-regulated learning came to view intelligence as more of a fixed, unalterable entity than their more successfully self-regulated peers. Findings suggest that CS instructors can positively affect student motivation and engagement by embedding self-regulated learning strategy instruction into their courses and helping CS students adopt an incremental-oriented (e.g., growth-oriented) belief system about their intellectual abilities.</p>","PeriodicalId":48764,"journal":{"name":"ACM Transactions on Computing Education","volume":"36 5","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2023-06-20","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/https://dl.acm.org/doi/10.1145/3595187","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

Objectives. Although prior research has uncovered shifts in computer science (CS) students’ implicit beliefs about the nature of their intelligence across time, little research has investigated the factors contributing to these changes. To address this gap, two studies were conducted in which the relationship between ineffective self-regulation of learning experiences and CS students’ implicit intelligence beliefs at different times during the semester was assessed.

Participants. Participants for Studies 1 (n = 536) and 2 (n = 222) were undergraduate students enrolled in introductory- and upper-level CS courses at a large, public, Midwestern university. Race-ethnicity information was not collected due to IRB concerns about possible secondary identification of participants from underrepresented groups.

Study Method. Participants completed a condensed version of the Implicit Theories of Intelligence Scale [16, 54] and the Lack of Regulation Scale from the Student Perceptions of Classroom Knowledge Building scale [51, 53] at the beginning (Studies 1 and 2), middle (Study 2), and end (Studies 1 and 2) of semester-long undergraduate CS courses. Survey responses were analyzed using path analyses to investigate how students’ lack of regulation experiences throughout the semester predicted their implicit intelligence beliefs at the beginning (Study 2) and end (Studies 1 and 2) of the semester.

Findings. Results from Study 1 indicate that undergraduate CS students come to more strongly believe that their intelligence is a fixed, unchanging entity from the beginning until the end of the semester. Moreover, participants’ responses to the lack of regulation scale were predictive of their implicit intelligence beliefs at the end of the semester. Results from Study 2 indicate that ineffective self-regulation experiences early in the semester enhance CS students’ belief in the unchanging nature of intelligence (i.e., during the first half of the semester). Taken altogether, these findings provide evidence that self-regulation experiences influence students’ beliefs about the malleability of intelligence.

Conclusions. Findings align with Bandura's [4] contention that students’ behaviors and experiences influence their values and beliefs. Students who experienced poor self-regulated learning came to view intelligence as more of a fixed, unalterable entity than their more successfully self-regulated peers. Findings suggest that CS instructors can positively affect student motivation and engagement by embedding self-regulated learning strategy instruction into their courses and helping CS students adopt an incremental-oriented (e.g., growth-oriented) belief system about their intellectual abilities.

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
内隐智力信念与学习自我调节不良的关系
目标。尽管之前的研究已经揭示了计算机科学(CS)学生对自己智力本质的内隐信念随着时间的推移而发生的变化,但很少有研究调查了导致这些变化的因素。为了解决这一问题,本研究进行了两项研究,评估了学习经验的无效自我调节与计算机科学学生在学期不同时间内内隐智力信念的关系。研究1 (n = 536)和2 (n = 222)的参与者是在中西部一所大型公立大学就读CS入门和高级课程的本科生。由于IRB担心可能会对来自代表性不足群体的参与者进行二次识别,因此没有收集种族信息。研究方法。参与者在为期一个学期的计算机科学本科课程的开始(研究1和2)、中期(研究2)和结束(研究1和2)时完成了一份精简版的《内隐智力理论量表》[16,54]和《学生对课堂知识构建的感知量表》[51,53]。研究人员利用通径分析方法分析了学生在整个学期中缺乏调节经验如何预测他们在学期开始(研究2)和结束(研究1和2)时的内隐智力信念。研究1的结果表明,计算机科学本科学生越来越坚信,他们的智力从学期开始到学期结束都是一个固定不变的实体。此外,参与者对缺乏调节量表的反应可以预测他们在学期末的内隐智力信念。研究2的结果表明,在学期早期的无效自我调节经历增强了CS学生对智力不变本质的信念(即在学期的前半段)。综上所述,这些发现提供了证据,证明自我调节经历会影响学生对智力可塑性的看法。研究结果与Bandura[4]的观点一致,即学生的行为和经历会影响他们的价值观和信仰。与自我调节能力更强的同龄人相比,自我调节能力差的学生更倾向于将智力视为一种固定的、不可改变的实体。研究结果表明,计算机科学教师可以通过在课程中嵌入自我调节的学习策略指导,并帮助计算机科学学生对自己的智力能力采用一种以增量为导向(如以成长为导向)的信念体系,对学生的动机和参与产生积极的影响。
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