可视化编程教学对学生心流体验、编程自我效能感和持续学习意愿的影响

IF 5.1 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Chiao Ling Huang, Lianzi Fu, Shih-Chieh Hung, Shu Ching Yang
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引用次数: 0

摘要

许多研究都强调了视觉编程教学(visual programming instruction, VPI)对学生学习体验、编程自我效能和心流体验的积极影响。然而,在这些因素如何具体影响编程成就和学习意图的研究中存在明显的差距。我们的研究通过关注基于流程图的编程来解决这一差距——这是教育研究中一个相对未被充分探索的领域。为了确保与教育环境的相关性,AbilixChart和Ability Storm SK902被特别选中,因为它们与目标学校的课程保持一致,这些工具在教学和课外活动中都被广泛使用。这种一致性允许在研究结束后将这些工具无缝整合到常规课堂实践中,确保持续应用并最大化研究的实际影响。此外,集成教育机器人提高了学生的参与度,并提供了一种实用的方法来评估他们编程技能的准确性。通过这样做,我们的研究不仅有助于填补文献中的空白,而且通过展示将基于流程图的编程和机器人技术纳入课程的价值,有可能影响教育实践。目的本研究旨在利用基于流程图的程式设计工具进行VPI教学实验。主要目的是调查这些工具如何影响219名高中生的心流体验、编程自我效能感和持续学习意愿。方法采用单组前测和后测设计,进行为期11周的教学实验。学生们使用Abilix Chart软件和Ability Storm SK902工具包搭建了一辆智能汽车,并学习了可视化编程。他们的任务是独立设计程序来解决不同场景下的实际问题。研究工具包括心流体验量表、计算机编程自我效能量表、持续学习意愿量表和程序成就量表。结果VPI有效提高了学生的编程成绩、心流体验和编程自我效能感。有编程学习经验的学生比没有经验的同龄人更愿意持续学习。相反,4.57%的前测分数低且没有学习经历的组比有学习经历的组表现出更多的积极情绪体验。结论VPI对编程成绩、自我效能感和心流体验有正向影响。无论之前的编程经验如何,所有学生都受益于VPI。此外,自我效能感和心流体验是影响持续学习动机和成就的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Visual Programming Instruction on Students' Flow Experience, Programming Self-Efficacy, and Sustained Willingness to Learn

Background

Many studies have highlighted the positive effects of visual programming instruction (VPI) on students' learning experiences, programming self-efficacy and flow experience. However, there is a notable gap in the research on how these factors specifically impact programming achievement and learning intentions. Our study addresses this gap by focusing on flowchart-based programming—a relatively underexplored area in educational research. To ensure relevance to the educational context, AbilixChart and Ability Storm SK902 were specifically selected for their alignment with the curriculum of the target school, where these tools are widely utilised in both teaching and extracurricular activities. This alignment allowed for a seamless integration of these tools into regular classroom practices after the study's conclusion, ensuring continued application and maximising the study's practical impact. Furthermore, integrating educational robots enhanced student engagement and provided a practical means to evaluate the accuracy of their programming skills. By doing so, our study not only contributes to filling a gap in the literature but also has the potential to influence educational practices by demonstrating the value of incorporating flowchart-based programming and robotics into the curriculum.

Objectives

The present study aims to conduct an instructional experiment utilising VPI with flowchart-based programming tools. The main objective is to investigate how these tools influence 219 high school students' flow experience, programming self-efficacy, and sustained learning willingness.

Methods

This study employed a pre- and post-test design with a single group and conducted an 11-week instructional experiment. The students used the Abilix Chart software and the Ability Storm SK902 kit to build an intelligent car and learn about visual programming. They were tasked with independently designing programs to solve practical problems in different scenarios. Research tools included Scales of Flow Experience, Computer Programming Self-Efficacy, Sustained Learning Willingness and Program Achievement.

Results

The findings revealed that VPI effectively improved students' programming achievement, flow experience and programming self-efficacy. Students with programming learning experience surpassed their inexperienced peers in willingness to engage in sustained learning. Conversely, 4.57% of the group with lower pre-test scores and no learning experience showed more positive emotional experience than those with learning experience.

Conclusions

The results indicated that VPI positively affected programming achievement, self-efficacy and flow experience. Regardless of prior programming experience, all students benefited from VPI. Additionally, self-efficacy and flow experience were key factors influencing sustained learning motivation and achievement.

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来源期刊
Journal of Computer Assisted Learning
Journal of Computer Assisted Learning EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
9.70
自引率
6.00%
发文量
116
期刊介绍: The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope
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