亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

L2 Motivational Self System of Korean High School and University Learners of English: A Structural Equation Modeling Approach

结构方程建模 理想(伦理) 心理学 数学教育 社会心理学 计算机科学 认识论 机器学习 哲学
作者
Minyoung Cho
出处
期刊:Korean Journal of Applied Linguistics [Applied Linguistics Association of Korea]
卷期号:32 (1): 27-27 被引量:2
标识
DOI:10.17154/kjal.2016.3.32.1.27
摘要

Dörnyei's (2009) L2 motivational self system has been applied in diverse settings worldwide to understand the motivation to learn languages. Some of the past research has suggested that students at different institutional levels develop different forms of motivational selves. Little research, however, has focused on the L2 motivation of Korean students at varying levels, in relation to their self-concept. This study, therefore, investigates (a) how learners' L2 motivational self system (ideal L2 self, ought-to L2 self, and L2 experience) predicts intended L2 learning effort, and (b) how the motivational system differs between high school and university students. A questionnaire was completed by 109 high school students and 72 university students, and structural equation modeling was run. The results showed that L2 experience, along with ideal L2 self, played a crucial role in predicting the intended effort. Ideal L2 self also significantly influenced L2 experience, which in turn affected intended effort. The findings also revealed that compared to university students, high school students' intended effort was more strongly influenced by L2 experience, and less directly affected by ideal L2 self. Ought- to L2 self had a negative impact on intended effort for the high school students, but no impact for the university students.

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
西瓜霜完成签到,获得积分20
2秒前
2秒前
6秒前
6秒前
JINJIN发布了新的文献求助30
9秒前
郁金发布了新的文献求助10
12秒前
18秒前
郁金完成签到,获得积分20
19秒前
Dester发布了新的文献求助10
22秒前
向东是大海完成签到,获得积分10
24秒前
汉堡包应助Dester采纳,获得10
25秒前
dhx7530发布了新的文献求助10
1分钟前
Orange应助Bo采纳,获得10
1分钟前
yux完成签到,获得积分10
1分钟前
愔愔应助科研通管家采纳,获得50
1分钟前
molihuakai应助科研通管家采纳,获得10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
1分钟前
搜集达人应助yux采纳,获得10
1分钟前
1分钟前
1分钟前
cola完成签到,获得积分10
1分钟前
Bo发布了新的文献求助10
1分钟前
牛八先生发布了新的文献求助10
1分钟前
cola发布了新的文献求助10
1分钟前
haaa完成签到 ,获得积分10
1分钟前
Bo完成签到,获得积分10
1分钟前
1分钟前
1分钟前
yux发布了新的文献求助10
1分钟前
2分钟前
lili发布了新的文献求助10
2分钟前
2分钟前
2分钟前
xinjing发布了新的文献求助10
2分钟前
lili完成签到,获得积分10
2分钟前
章鱼饺子发布了新的文献求助10
2分钟前
2分钟前
2分钟前
刻苦的砖头完成签到 ,获得积分10
2分钟前
高分求助中
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 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6495853
求助须知:如何正确求助?哪些是违规求助? 8292662
关于积分的说明 17694873
捐赠科研通 5590061
什么是DOI,文献DOI怎么找? 2916686
邀请新用户注册赠送积分活动 1893574
关于科研通互助平台的介绍 1753134