Effects of feedback visualisation of peer‐assessment on pre‐service teachers' data literacy, learning motivation, and cognitive load

读写能力 心理学 控制(管理) 数学教育 计算机科学 考试(生物学) 教育学 生物 古生物学 人工智能
作者
Liujie Xu,Xuefei Zou,Yuxue Hou
出处
期刊:Journal of Computer Assisted Learning [Wiley]
卷期号:40 (4): 1447-1462 被引量:1
标识
DOI:10.1111/jcal.12955
摘要

Abstract Background Data literacy (DL) is vital for teachers, as it enables them to build on data and improve teaching and learning. Therefore, developing DL among pre‐service teachers is critical. Objectives The purpose of this study is threefold: to evaluate whether a feedback visualisation of peer assessment‐based teaching approach (FVPA‐based teaching approach) can (1) promote pre‐service teachers' DL; (2) enhance their learning motivation; and (3) improve their cognitive load. Methods The research was conducted based on a pre‐test‐post‐test control group quasi‐experimental design. With 20 participants in the experimental group and 21 in the control group, a total of 41 pre‐service teachers were included in the study. The pre‐service teachers in the experimental group adopted the FVPA‐based teaching approach, and those in the control group adopted the traditional peer assessment‐based learning approach. Results and Conclusions The experimental group participants outperformed the control group participants in DL, learning motivation, and cognitive load. FVPA was conducive to helping pre‐service teachers critically interpret data, understand their teaching and learning issues, and improve self‐reflection. The findings indicate a reciprocal relationship between learning motivation and DL; improving the learning motivation of pre‐service teachers could promote their DL. Implications This study contributes to current knowledge by providing empirical evidence on the benefits of an FVPA‐based teaching approach in improving pre‐service teachers' DL, motivation, and cognitive load. The study findings, limitations, and prospects for future research are discussed.

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
刚刚
英勇的听荷完成签到,获得积分10
1秒前
1秒前
华仔应助犹豫的秋凌采纳,获得10
2秒前
123发布了新的文献求助10
2秒前
mimosa完成签到,获得积分10
2秒前
科研通AI6.4应助木缘采纳,获得10
2秒前
p1sto发布了新的文献求助10
2秒前
郭大炮666完成签到,获得积分10
2秒前
月亮打烊完成签到,获得积分10
3秒前
Hello应助Cxiquan采纳,获得10
3秒前
4秒前
4秒前
4秒前
凝子老师发布了新的文献求助10
4秒前
南熙发布了新的文献求助10
4秒前
dgqz发布了新的文献求助10
4秒前
5秒前
充电宝应助艺术家采纳,获得10
5秒前
fff完成签到,获得积分0
5秒前
leec应助Y_LH采纳,获得10
5秒前
为SCI奋斗发布了新的文献求助10
6秒前
luchong发布了新的文献求助10
6秒前
6秒前
哟邮票发布了新的文献求助10
7秒前
wys2493完成签到,获得积分10
7秒前
王彩娥完成签到,获得积分10
8秒前
amwlsai完成签到,获得积分10
9秒前
9秒前
zz发布了新的文献求助10
10秒前
潇潇完成签到 ,获得积分10
10秒前
10秒前
传奇3应助为SCI奋斗采纳,获得10
10秒前
李冰发布了新的文献求助10
10秒前
sallyshe完成签到,获得积分10
11秒前
蒲公英完成签到,获得积分10
11秒前
无奈秋蝶完成签到,获得积分10
11秒前
蔺文博完成签到,获得积分10
11秒前
在水一方应助慕昊强采纳,获得10
11秒前
p1sto完成签到,获得积分10
11秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
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 6721258
求助须知:如何正确求助?哪些是违规求助? 8457791
关于积分的说明 18056731
捐赠科研通 5973569
什么是DOI,文献DOI怎么找? 2996337
邀请新用户注册赠送积分活动 1972392
关于科研通互助平台的介绍 1926254