An exploration of gendered differences in cognitive, motivational and emotional aspects of game‐based math learning

能力(人力资源) 心理学 发展心理学 认知 背景(考古学) 数学教育 认知心理学 社会心理学 性别差距 分数(化学) 显著性差异 中等教育 概念学习 社会情感学习 小学教育 学习动机 相关性
作者
Lu Zhang,Lei Yue,Tim Pelton,Leslee Francis Pelton,Junjie Shang
出处
期刊:Journal of Computer Assisted Learning [Wiley]
卷期号:40 (6): 2633-2649 被引量:7
标识
DOI:10.1111/jcal.12956
摘要

Abstract Background Digital game‐based learning (DGBL) has the potential to provide a gender inclusive learning environment for children. Objective The present study aimed to explore gendered differences among primary school learners in grades three, four, and five within the context of game‐based fraction learning from cognitive, motivational and emotional perspectives. Methods Two hundred and sixty‐nine participants completed a pre‐test and post‐test on fraction conceptual knowledge and surveys in math anxiety, intrinsic motivation and self‐efficacy. In addition, facial expression detection technology was employed to evaluate emotional states. Results In general, within the DGBL environment, boys and girls exhibited similar performance in both their understanding of fraction concepts and their motivational aspects. However, gender differences were identified and manifested uniquely across different grade levels. Specifically, third‐grade girls exhibited significantly lower self‐efficacy than boys, but after DGBL intervention, the gender gap in self‐efficacy was no longer significant. Additionally, third‐grade girls achieved significant improvements in both the competence and interest dimensions of their intrinsic motivation, while boys did not show significant improvements. In the fourth grade, girls exhibited a significantly higher frequency of angry expressions compared to boys during gameplay. Fifth‐grade girls' cognitive performance appeared to be less correlated with motivational factors compared to boys. Conclusions The results suggest that DGBL may help narrow the gender difference in math learning, with girls potentially benefiting more from DGBL than boys.
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
kevin发布了新的文献求助30
刚刚
所所的应助被虚幻的冬瓜采纳,获得10
刚刚
大模型的应助被田泽和采纳,获得10
刚刚
小蘑菇的应助被WYM采纳,获得10
刚刚
可爱的函函的应助被Wenger采纳,获得10
刚刚
大方谷梦完成签到 ,获得积分10
刚刚
情怀的应助被wang666采纳,获得10
刚刚
斯文败类的应助被alexyusheng采纳,获得10
1秒前
1秒前
1112233发布了新的文献求助10
1秒前
YAN0221发布了新的文献求助10
1秒前
学啊学123发布了新的文献求助10
2秒前
大模型的应助被ppp采纳,获得10
3秒前
3秒前
小皇鱼完成签到,获得积分10
3秒前
cbtg完成签到,获得积分10
3秒前
4秒前
昏睡的沧海完成签到,获得积分10
4秒前
6秒前
龙之鼻息发布了新的文献求助10
6秒前
小马甲的应助被追忆采纳,获得10
6秒前
Orange的应助被英俊雁兰采纳,获得10
6秒前
偷得半日闲完成签到 ,获得积分10
6秒前
小马甲的应助被Tom采纳,获得10
7秒前
alex_angew发布了新的文献求助10
8秒前
yztz99发布了新的文献求助10
9秒前
9秒前
9秒前
10秒前
11秒前
12秒前
12秒前
赵睿完成签到,获得积分20
13秒前
13秒前
momo完成签到 ,获得积分10
14秒前
wjsbhsn完成签到,获得积分10
14秒前
赵睿发布了新的文献求助10
15秒前
Lee关注了科研通微信公众号
15秒前
ppp发布了新的文献求助10
15秒前
888发布了新的文献求助10
15秒前
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
Les Mantodea De Guyane 2000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 1000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
The Basics of Practical Optimization, Second Edition 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7991394
求助须知:如何正确求助?哪些是违规求助? 9447312
关于积分的说明 21111235
捐赠科研通 7564606
什么是DOI,文献DOI怎么找? 3378463
关于科研通互助平台的介绍 2512435
邀请新用户注册赠送积分活动 2412058