The use of leaderboards in education: A systematic review of empirical evidence in higher education

心理学 经验证据 高等教育 数学教育 教育学 经济 哲学 经济增长 认识论
作者
Chunqi Li,Lishi Liang,Luke K. Fryer,Alex Shum
出处
期刊:Journal of Computer Assisted Learning [Wiley]
标识
DOI:10.1111/jcal.13077
摘要

Abstract Background Leaderboards are among the most popular gamification elements in education. Some studies have implemented leaderboards and reported their individual effects on students' learning. Despite the emergence of relevant empirical studies, most of the existing reviews have only investigated the holistic impact of gamification. No previous systematic reviews were identified examining the individual use of leaderboards. Objective To address this gap, this review aims to systematically synthesise the existing empirical evidence concerning leaderboard use in education, examine their designs and effectiveness, and propose leaderboard design recommendations in gamified educational settings. Method This systematic review drew upon 20 articles (22 studies; 29 interventions) published from 2014 to 2023. Results The results found that using leaderboards can have a beneficial influence on students' learning motivation, engagement, and performance, but their effectiveness largely depends on their designs. Thus, this review examined the effectiveness of specific leaderboard design practices on students' learning and proposed four corresponding leaderboard design recommendations based on well‐established educational and motivational theories as well as pertinent empirical studies. Discussions and Conclusions Notably, this review found that all included studies were undertaken in higher education and around half of them had short durations (less than or equal to 1 h). More longitudinal studies in other educational levels (e.g., primary and secondary schools) are thus called for to examine the validity and generalisability of the recommendations proposed.

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
BTQ完成签到,获得积分20
刚刚
子车谷波完成签到,获得积分10
刚刚
dddd完成签到,获得积分10
刚刚
为什么完成签到,获得积分10
1秒前
紧张的绿茶完成签到,获得积分10
1秒前
苦哈哈完成签到,获得积分10
1秒前
干净的琦应助舒鸿采纳,获得30
1秒前
Boniu_wang发布了新的文献求助10
1秒前
Emily完成签到,获得积分10
1秒前
科研通AI6.4应助勿念采纳,获得10
2秒前
Reybor完成签到,获得积分10
2秒前
天天赚积分完成签到,获得积分10
2秒前
刘子琪完成签到,获得积分10
2秒前
3秒前
xh完成签到,获得积分10
3秒前
坚强的阳光菇完成签到 ,获得积分10
3秒前
3秒前
metaphysic完成签到,获得积分10
3秒前
3秒前
贾舒涵发布了新的文献求助10
4秒前
畅快的半仙完成签到,获得积分10
4秒前
谢天完成签到,获得积分10
4秒前
希望天下0贩的0应助llt采纳,获得10
5秒前
风起完成签到,获得积分10
5秒前
霸气咖啡豆完成签到,获得积分10
5秒前
5秒前
wangjia完成签到 ,获得积分10
5秒前
6秒前
6秒前
Lucky发布了新的文献求助10
7秒前
风思雅完成签到,获得积分10
7秒前
长安完成签到,获得积分10
8秒前
李美玥完成签到 ,获得积分10
8秒前
王先生完成签到,获得积分10
9秒前
大葱鸭完成签到,获得积分10
9秒前
淡淡士晋发布了新的文献求助10
9秒前
张雨兴完成签到,获得积分10
9秒前
挨打Ada完成签到 ,获得积分10
9秒前
星河完成签到,获得积分10
10秒前
123完成签到 ,获得积分10
10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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6498307
求助须知:如何正确求助?哪些是违规求助? 8294269
关于积分的说明 17697224
捐赠科研通 5594352
什么是DOI,文献DOI怎么找? 2917610
邀请新用户注册赠送积分活动 1894577
关于科研通互助平台的介绍 1755252