How Do First-Year Engineering Students’ Emotions Change While Working on Programming Problems?

IF 3.2 3区 工程技术 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Zahra Atiq, Rakhi Batra
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Abstract

Emotions are a complex multi-faceted phenomenon. To assess the complexity of emotions from different facets, multi-modal approaches are necessary. However, multi-modal approaches are rarely used for assessing emotions, especially in the context of computer programming. This study adopts a multi-modal approach to understand the changes in students’ perception of emotions before and after working on programming problems. Understanding these changes in students’ perceptions may enable educators to devise interventions that help students adjust their perceptions and regulate their emotions as per their skills. We conducted a one-on-one programming session and retrospective think-aloud interview with seventeen students from an introductory programming course. During the programming session, students filled surveys and performed four programming tasks. While working on these tasks, students’ eye gaze, video of face and screen, and electrodermal activity data were also collected using a non-invasive device. The data collection for this study was multi-modal, with a mix of both qualitative and quantitative data collection methods. Data analysis was primarily qualitative, with additional triangulation of qualitative and biometric data for select exemplars. The findings of this study suggest that students experience changes in emotions because of many reasons, for instance, they encountered repeated errors, they set high standards for their performance, or they could not manage time. For some students, negative emotions changed to positive emotions when they solved errors without any external help or achieved more than what they expected going into the task. Moreover, the triangulation of qualitative and biometric data of two participants provides a fine-grained analysis of their emotions and behaviors and confirmed the change in the perception of their emotions while performing the programming tasks.

Emotions, Multi-modal data, and Programming

工程专业一年级学生在解决编程问题时的情绪如何变化?
情绪是一种复杂的多层面现象。要从不同方面评估情绪的复杂性,必须采用多模态方法。然而,多模态方法很少用于评估情绪,尤其是在计算机编程方面。本研究采用多模态方法来了解学生在学习编程问题前后对情绪感知的变化。了解学生感知的这些变化可以帮助教育者设计干预措施,帮助学生调整感知,并根据自身技能调节情绪。我们对 17 名编程入门课程的学生进行了一对一编程课程和回顾性思考-朗读访谈。在编程过程中,学生们填写了调查问卷,并完成了四项编程任务。在完成这些任务的同时,还使用非侵入式设备收集了学生的目光、面部和屏幕视频以及皮电活动数据。本研究的数据收集采用了多种模式,混合使用了定性和定量数据收集方法。数据分析以定性分析为主,并对部分范例的定性和生物特征数据进行了三角测量。研究结果表明,学生情绪变化的原因有很多,例如,他们屡次出错、对自己的表现设定了高标准,或者他们无法掌控时间。对于一些学生来说,当他们在没有任何外部帮助的情况下解决了错误,或取得了超出任务预期的成绩时,消极情绪就会转变为积极情绪。此外,对两名参与者的定性数据和生物特征数据进行三角测量,对他们的情绪和行为进行了细致的分析,并证实了他们在执行编程任务时情绪感知的变化。
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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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