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
小马甲应助科研通管家采纳,获得10
刚刚
Lucas应助科研通管家采纳,获得10
刚刚
传奇3应助beeyuewu采纳,获得10
刚刚
3秒前
花样年华完成签到,获得积分10
3秒前
ZHOUJIANG完成签到 ,获得积分10
4秒前
科研通AI2S应助帅气一刀采纳,获得10
6秒前
田様应助chen采纳,获得30
7秒前
Ava应助qqs采纳,获得10
7秒前
12秒前
12秒前
15秒前
17秒前
於傲松应助馄饨多虾米采纳,获得10
18秒前
咸咸发布了新的文献求助10
19秒前
narthon完成签到 ,获得积分10
20秒前
思瀚完成签到,获得积分10
21秒前
21秒前
wanhe发布了新的文献求助10
21秒前
帅气一刀发布了新的文献求助10
22秒前
23秒前
23秒前
寒冷沛柔完成签到,获得积分10
23秒前
迷人绮彤发布了新的文献求助10
23秒前
24秒前
25秒前
Chemvenus发布了新的文献求助10
26秒前
风趣的凡完成签到 ,获得积分10
26秒前
27秒前
瑞葛完成签到 ,获得积分10
28秒前
mao完成签到,获得积分10
28秒前
28秒前
路路发布了新的文献求助10
28秒前
28秒前
Molly秋完成签到,获得积分20
28秒前
28秒前
29秒前
queer发布了新的文献求助10
29秒前
queer发布了新的文献求助10
30秒前
31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
AnnualResearch andConsultation Report of Panorama survey and Investment strategy onChinaIndustry 1000
Continuing Syntax 1000
Signals, Systems, and Signal Processing 610
简明药物化学习题答案 500
Quasi-Interpolation 400
脑电大模型与情感脑机接口研究--郑伟龙 400
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 6275537
求助须知:如何正确求助?哪些是违规求助? 8095349
关于积分的说明 16922797
捐赠科研通 5345337
什么是DOI,文献DOI怎么找? 2841980
邀请新用户注册赠送积分活动 1819213
关于科研通互助平台的介绍 1676498