The Effect of Teaching and Learning Method Using Mobile Augmented Reality(MAR) according to Scaffolding Types on Chemistry Academic Achievement, Learning Flow, and Learning Motivation

脚手架 数学教育 化学 流量(数学) 计算机科学 心理学 机械 物理 数据库
作者
Young-Eun Jeon,Hun‐Gi Hong
出处
期刊:Korean Association For Learner-Centered Curriculum And Instruction 卷期号:22 (15): 275-293 被引量:1
标识
DOI:10.22251/jlcci.2022.22.15.275
摘要

Objectives The purpose of this study was to find out the effect of the mobile augmented reality-based teaching and learning method according to scaffolding types on chemistry academic achievement, learning flow, and learning motivation. Methods 142 students in the second grade of coeducational general high school were randomly assigned to three groups: the group of supportive scaffolding POGIL using mobile augmented reality (SS), the group of reflective scaffolding POGIL using mobile augmented reality (RS), and the group of traditional lecture (TL). Students studied concepts related to chemical bonding and molecular structures throughout the 5 lessons. Two-way ANCOVA of 3 (teaching-learning method) × 2 (prior academic achievement level) factors was performed by conducting chemistry academic achievement, learning flow, and learning motivation tests as pre- and post-tests. Results The RS group had significant improvement in chemistry achievement than the SS group regardless of the prior academic achievement level. In learning flow, the RS group and the SS group had significant improvement, and in learning motivation, only the RS group had significant improvement. As the results of analyzing by level of prior academic achievement, in the high-level group, the RS group had significant improvement in chemistry academic achievement, and there was no difference between the groups in learning flow and learning motivation. In the low-level group, both the SS group and the RS group had significant improvement in chemistry academic achievement, learning flow, and learning motivation. Conclusions Based on these results, the educational implications of the teaching and learning methods using augmented reality in order to be applied to the school were 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
无花果应助Lightblue3采纳,获得10
1秒前
1秒前
酷波er应助喵喵采纳,获得10
1秒前
xmx关闭了xmx文献求助
1秒前
Ellen发布了新的文献求助10
2秒前
酷波er应助秋雨沉梦采纳,获得10
2秒前
mmm发布了新的文献求助10
2秒前
完美世界应助林西雨采纳,获得10
3秒前
李BO发布了新的文献求助100
4秒前
李法拉发布了新的文献求助10
5秒前
张柏深完成签到,获得积分10
5秒前
5秒前
QingFeng完成签到,获得积分10
6秒前
7秒前
mmol应助deswin采纳,获得10
7秒前
guojingjing发布了新的文献求助10
8秒前
8秒前
蕴蝶发布了新的文献求助10
10秒前
英俊的薯片完成签到,获得积分10
12秒前
12秒前
12秒前
研友_VZG7GZ应助高兴的小采纳,获得10
12秒前
爆米花应助昵昵昵昵昵采纳,获得10
13秒前
沉默星星完成签到,获得积分10
13秒前
13秒前
14秒前
学fei了吗完成签到 ,获得积分10
15秒前
JamesPei应助蕴蝶采纳,获得10
16秒前
熊本熊完成签到,获得积分10
17秒前
shuyang发布了新的文献求助10
18秒前
Guo应助deswin采纳,获得10
18秒前
邪骑发布了新的文献求助10
18秒前
大狒狒发布了新的文献求助10
19秒前
19秒前
英吉利25发布了新的文献求助10
19秒前
penny0000完成签到,获得积分10
19秒前
19秒前
揽星色应助追寻航空采纳,获得10
20秒前
林间清湖发布了新的文献求助10
20秒前
李健应助虫子采纳,获得10
20秒前
高分求助中
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2000
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 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 6483401
求助须知:如何正确求助?哪些是违规求助? 8283199
关于积分的说明 17667684
捐赠科研通 5568797
什么是DOI,文献DOI怎么找? 2912431
邀请新用户注册赠送积分活动 1889613
关于科研通互助平台的介绍 1745179