亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Progressive flowchart development scaffolding to improve university students’ computational thinking and programming self-efficacy

计算思维 流程图 数学教育 计算机科学 批判性思维 控制(管理) 心理学 人工智能 程序设计语言
作者
Jiahua Zhang,Bin Meng,Liu-cong Zou,Yue Zhu,Gwo‐Jen Hwang
出处
期刊:Interactive Learning Environments [Taylor & Francis]
卷期号:31 (6): 3792-3809 被引量:55
标识
DOI:10.1080/10494820.2021.1943687
摘要

As one of the core skills of the 21st century, computational thinking has received increasing attention from educators and researchers. Although some research has been conducted on computational thinking, few studies examined the impact of learning activities on students’ computation thinking skills from the perspective of cognitive development. Based on the theory of scaffolding instruction, a progressive thinking training approach with flowcharts was proposed to cultivate students’ computational thinking skills. A quasi-experiment was designed to evaluate the effectiveness of the training. Forty-nine Chinese tertiary students undertaking a programming course were randomly assigned into two groups – the experimental and control groups. During the course, the experimental group received progressive training, and the control group received non-progressive training. The results showed that the experimental group gained a significantly higher level of academic achievement than the control group. Meanwhile, the experimental group showed a remarkable improvement in programming self-efficacy. Furthermore, the participants in the experimental group showed a higher level of computational thinking skills, including cooperative learning, critical thinking, and problem solving skills. In summary, the progressive thinking training approach with flowcharts could not only improve the participants’ computational thinking skills and programming self-efficacy, but also help them to achieve better academic outcomes.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
18秒前
26秒前
tcf发布了新的文献求助10
31秒前
cadcae完成签到,获得积分10
40秒前
科研通AI6.4应助小东子采纳,获得10
42秒前
tcf完成签到,获得积分20
43秒前
49秒前
51秒前
小东子发布了新的文献求助10
55秒前
脑洞疼应助tcf采纳,获得10
55秒前
赫123发布了新的文献求助10
58秒前
香蕉凛完成签到 ,获得积分10
1分钟前
1分钟前
CipherSage应助赫123采纳,获得10
1分钟前
小东子完成签到,获得积分10
1分钟前
赘婿应助wuwei91采纳,获得10
1分钟前
田様应助科研通管家采纳,获得10
1分钟前
1分钟前
2分钟前
欣喜的涵柏完成签到 ,获得积分10
2分钟前
2分钟前
默天完成签到 ,获得积分10
2分钟前
赫123发布了新的文献求助10
2分钟前
华仔应助赫123采纳,获得10
2分钟前
魔术师完成签到,获得积分10
3分钟前
涛涛完成签到,获得积分10
3分钟前
3分钟前
3分钟前
兜兜完成签到 ,获得积分10
3分钟前
淡淡的雨文完成签到,获得积分10
4分钟前
4分钟前
4分钟前
彭于晏应助淡淡的雨文采纳,获得10
4分钟前
4分钟前
tcf发布了新的文献求助10
4分钟前
积极的迎梦完成签到 ,获得积分10
4分钟前
桐桐应助阁下采纳,获得10
5分钟前
5分钟前
5分钟前
阁下发布了新的文献求助10
5分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Radical Reactions 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7355065
求助须知:如何正确求助?哪些是违规求助? 8965955
关于积分的说明 19048388
捐赠科研通 7003057
什么是DOI,文献DOI怎么找? 3222075
关于科研通互助平台的介绍 2386298
邀请新用户注册赠送积分活动 2202672