Bandura's Observational Learning Model and General Motoric Ability About Learning Outcomes in Athletic Skills

观察学习 观察研究 心理学 主动学习(机器学习) 运动技能 体验式学习 数学教育 发展心理学 计算机科学 人工智能 医学 病理
作者
I Gusti,I Wayan,Made Agus,I Wayan
出处
期刊:European journal of educational research [Eurasian Society of Educational Research]
卷期号:12 (1): 229-238
标识
DOI:10.12973/eu-jer.12.1.229
摘要

<p style="text-align: justify;">This study aims to analyze the impact of Bandura’s observational learning model based on performance assessment learning models and general motor skills on athletic skills learning outcomes. This study used an experimental design treatment by level 2x2. A simple random sampling technique was used with a total of 88 people. The data collection method used consisted of tests and documentation. A two-way analysis of variance was used to analyze the data. The results showed that the students’ athletic skills learning outcomes that followed the Bandura observational learning model based on performance assessment were higher than students’ conventional learning model. There was an interaction effect between the learning model and general motor skills on the student's athletic skills learning outcomes. The students’ athletic skills learning outcomes who follow the Bandura observational learning model based on performance assessment were higher than the conventional learning model. The students with low general motor skills and the students’ athletic skills learning outcomes that followed the Bandura observational learning model based on performance assessment were lower than the conventional learning model. Based on the research findings, it is recommended to improve the athletic skills learning outcomes with Bandura's observational learning model based on performance assessments appropriately and correctly.</p>
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
含蓄凝天发布了新的文献求助10
1秒前
zjx完成签到,获得积分10
1秒前
HUZ发布了新的文献求助10
2秒前
飞鸟完成签到,获得积分10
3秒前
4秒前
谨慎的映阳完成签到 ,获得积分10
4秒前
4秒前
花痴的酒窝完成签到,获得积分10
4秒前
4秒前
5秒前
小文子发布了新的文献求助10
5秒前
Emrys完成签到,获得积分10
5秒前
5秒前
6秒前
zz发布了新的文献求助80
8秒前
8秒前
桑榆非晚完成签到,获得积分10
9秒前
唐人达发布了新的文献求助20
9秒前
9秒前
9秒前
原xiao发布了新的文献求助10
10秒前
tgd发布了新的文献求助20
10秒前
千幻发布了新的文献求助10
10秒前
阿远完成签到,获得积分10
10秒前
ljh123456发布了新的文献求助30
11秒前
13秒前
鳗鱼绿蝶发布了新的文献求助10
13秒前
飞鸟发布了新的文献求助10
14秒前
酵母君发布了新的文献求助10
14秒前
Hao应助大春采纳,获得10
15秒前
小玲仔发布了新的文献求助10
15秒前
15秒前
乔小治完成签到,获得积分10
16秒前
QZJ666发布了新的文献求助10
16秒前
Amelie发布了新的文献求助30
16秒前
17秒前
所所应助23采纳,获得10
17秒前
17秒前
烟花应助ljh123456采纳,获得10
18秒前
CipherSage应助wangwei采纳,获得10
19秒前
高分求助中
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Challenges, Strategies, and Resiliency in Disaster and Risk Management 500
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2481198
求助须知:如何正确求助?哪些是违规求助? 2143833
关于积分的说明 5467568
捐赠科研通 1866435
什么是DOI,文献DOI怎么找? 927612
版权声明 563032
科研通“疑难数据库(出版商)”最低求助积分说明 496281