教师自主支持对高中生网络学习投入的影响：自主动机和主动性人格的作用&#x0002A;

姜甜甜; 曹阳; 龚少英; 刘小先; 吴亚男; 郎悦茹

doi:10.16719/j.cnki.1671-6981.20230608

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心理科学 ›› 2023, Vol. 46 ›› Issue (6) : 1336-1343. DOI: 10.16719/j.cnki.1671-6981.20230608

发展与教育

教师自主支持对高中生网络学习投入的影响：自主动机和主动性人格的作用^*

姜甜甜¹, 曹阳^**1, 龚少英^**1, 刘小先^1,2, 吴亚男¹, 郎悦茹¹

作者信息 +

Teacher’s Autonomy Support and High School Students'Online Learning Engagement: The Roles of Autonomous Motivation and Proactive Personality

Jiang Tiantian¹, Cao Yang¹, Gong Shaoying¹, Liu Xiaoxian^1,2, Wu Yanan¹, Lang Yueru¹

Author information +

文章历史 +

摘要

本研究采用问卷法探查了1480名高中生感知到的教师自主支持对其网络学习投入的影响以及自主动机和主动性人格在其中的作用。结果发现：（1）教师自主支持显著正向预测网络学习投入;（2）自主动机在教师自主支持与学习投入间起部分中介作用;（3）主动性人格调节教师自主支持对自主动机的影响,主动性人格水平越高,教师自主支持对自主动机的预测作用越大;（4）主动性人格调节教师自主支持对学习投入的直接影响,教师自主支持能够直接正向预测高主动性人格学生的学习投入,但不能直接预测低主动性人格学生的学习投入。

Abstract

Online learning has been widely accepted by learners. While bringing convenience, it also exposed some drawbacks, such as poor learning efficiency and low online learning engagement. Students’ online learning engagement is associated with learning satisfaction and academic performance. Therefore, it is significant to explore the predictors and mechanism of online learning engagement.

This study considered teachers'autonomy support and learners'proactive personality, constructed a moderated mediation model to examine (1) whether autonomous motivation mediated and (2) proactive personality moderated the relation between teachers'autonomy support and online learning engagement among high school students, and (3) whether the relation between teachers'autonomy support and autonomous motivation was moderated by proactive personality.

The learning climate scale, the academic self-regulation scale, the proactive personality scale, and the online learning engagement scale were administered to 1480 high school students. Participants aged from 14 to 19 years old (M =16.2, SD = .86) with 614 boys and 866 girls.

Data analysis was performed with Mplus8.3 and Process macro program of SPSS 20.0. All variables were standardized. The correlation analysis showed that teachers'autonomy support, students’ autonomous motivation, proactive personality and online learning engagement were positively correlated respectively. We took grade and gender as control variables. The testing of a moderated mediation model showed that: (1) Teachers'autonomy support significantly and positively predicted online learning engagement; (2)Autonomous motivation partially mediated the relationship between teacher’s autonomy support and learning engagement; (3) Proactive personality moderated the mediating effect of autonomous motivation, with the stronger effect for students with higher level of proactive personality; (4) Proactive personality moderated the direct influence of teacher’s autonomy support on learning engagement. For students with high proactive personality, teacher’s autonomy support directly and positively predicted their learning engagement; whereas for ones with low proactive personality, the direct predictive effect of teacher’s autonomy support on learning engagement was not significant.

The main theoretical contributions of this study are as follows. First, it deepened people’s understanding on the mechanism of teacher’s autonomy support affecting online learning engagement, and found the distinctive effect of teacher’s autonomy support for the students with different levels of proactive personality. Second, it expanded the application scope of the Proactive Motivation Model and provided empirical support for the theory in educational field. Finally, it also verified the applicability of the Self-Determination Theory in online learning environment. This study also brings us some educational implication. First, it would be better for teachers to adopt the autonomy-supporting teaching style. Second, teachers should provide high-proactive-personality students with more autonomy. In addition, for students with low proactive personality, more specific learning guidance should be given, such as the ways to set reasonable goals and plans. Finally, teachers are also supposed to cultivate students'proactive personality, for example, encouraging students to express their ideas and complete tasks independently.

导出引用

姜甜甜, 曹阳, 龚少英, 刘小先, 吴亚男, 郎悦茹. 教师自主支持对高中生网络学习投入的影响：自主动机和主动性人格的作用^*[J]. 心理科学. 2023, 46(6): 1336-1343 https://doi.org/10.16719/j.cnki.1671-6981.20230608

Jiang Tiantian, Cao Yang, Gong Shaoying, Liu Xiaoxian, Wu Yanan, Lang Yueru. Teacher’s Autonomy Support and High School Students'Online Learning Engagement: The Roles of Autonomous Motivation and Proactive Personality[J]. Journal of Psychological Science. 2023, 46(6): 1336-1343 https://doi.org/10.16719/j.cnki.1671-6981.20230608

参考文献

[1] 白雪梅, 尹欢欢, 顾小清. (2021). 谁会成为在线学习的赢家——K12学生在线自我调节学习能力及其影响. 中国远程教育, 554(03), 36-44.
[2] 陈辰, 曲艳红, 周春淼. (2020). 新冠肺炎疫情下大学生在线学习投入的研究综述. 海峡科技与产业, 253(8), 42-44.
[3] 陈继文, 郭永玉, 胡小勇. (2015). 教师自主支持与初中生的学习投入: 家庭社会阶层与学生自主动机的影响. 心理发展与教育, 31(2), 180-187.
[4] 陈雪莲. (2007). 大学生学业和社交能力中的自我决定 (硕士学位论文). 华中师范大学, 武汉.
[5] 董伟, 傅松涛, 赵欣. (2020). 新冠病毒疫情背景下中学生在线学习现状研究. 天津师范大学学报(基础教育版), 21(3), 7-12.
[6] 方来坛, 时勘, 张风华. (2008). 中文版学习投入量表的信效度研究. 中国临床心理学杂志, 16(6), 618-620.
[7] 高洁. (2016). 外部动机与在线学习投入的关系: 自我决定理论的视角. 电化教育研究, 37(10), 64-69.
[8] 高洁, 李明军, 张文兰. (2015). 主动性人格与网络学习投入的关系——自我决定动机理论的视角. 电化教育研究, 36(8), 18-22, 29.
[9] 姜强, 潘星竹, 赵蔚, 刘红霞. (2018). 网络学习空间中教师激励风格对学习投入的影响研究——SDT中内部动机的中介效应. 中国电化教育, 380(09), 7-16.
[10] 李新昕. (2011). 主动性人格对企业员工组织社会化的影响研究 (硕士学位论文). 南昌大学.
[11] 刘斌, 张文兰, 刘君玲. (2017). 教师支持对在线学习者学习投入的影响研究. 电化教育研究, 38(11), 63-68.
[12] 刘桂荣. (2010). 自主支持和因果定向对创造力的影响 (硕士学位论文). 山东师范大学, 济南.
[13] 罗云, 赵鸣, 王振宏. (2014). 初中生感知教师自主支持对学业倦怠的影响: 基本心理需要、自主动机的中介作用. 心理发展与教育, 30(3), 312-321.
[14] 王国霞, 赵扬. (2022). 教师自主支持与学生学业成就关系的元分析: 心理需要满足、动机及投入的中介作用. 心理发展与教育, 38(3), 380-390.
[15] 王萍. (2018). 教师自主支持、自我决定动机对高中生学习投入、学业成绩的影响 (硕士学位论文). 南京师范大学.
[16] 王伟, 雷雳, 王兴超. (2016). 大学生主动性人格对学业成绩的影响: 学业自我效能感和学习适应的中介作用. 心理发展与教育, 32(5), 579-586.
[17] 文芳. (2014). 中学生主动性人格的特点及其与学习适应性、学习成绩之间的相关研究. 教育测量与评价(理论版), 150(11), 41-46.
[18] 温忠麟, 叶宝娟. (2014). 有调节的中介模型检验方法: 竞争还是替补?心理学报, 46(5), 714-726.
[19] 邢强, 郑程娜, 唐辉, 肖雨彤. (2021). 教师自主支持对初中生学校适应的影响: 有调节的中介模型. 教育测量与评价, 246(07), 47-56.
[20] 薛璐. (2019). 教师自主支持与初中生学业自我效能感的关系: 主动性人格与学业情绪的作用 (硕士学位论文). 山东师范大学, 济南.
[21] 尹睿, 徐欢云. (2016). 国外在线学习投入的研究进展与前瞻. 开放教育研究, 22(3), 89-97.
[22] 周琰. (2018). 网络学习投入影响因素与应对策略——基于自我决定理论的视角. 中国电化教育, 377(06), 115-122.
[23] Bateman, T. S., & Crant, J. M. (1993). The proactive component of organizational behavior: A measure and correlates. Journal of Organizational Behavior, 14(2), 103-118.
[24] Black, A. E., & Deci, E. L. (2000). The effects of instructors'autonomy support and students'autonomous motivation on learning organic chemistry: A self-determination theory perspective. Science Education, 84(6), 740-756.
[25] Chen, K. C., & Jang, S. J. (2010). Motivation in online learning: Testing a model of self-determination theory. Computers in Human Behavior, 26(4), 741-752.
[26] Giesbers B., Rienties B., Tempelaar D., & Gijselaers W. (2013). Investigating the relations between motivation, tool use, participation, and performance in an e-learning course using web-videoconferencing. Computers in Human Behavior, 29(1), 285-292.
[27] Henrie C. R., Halverson L. R., & Graham C. R. (2015). Measuring student engagement in technology-mediated learning: A review. Computers and Education, 90, 36-53.
[28] Hospel, V., & Galand, B. (2016). Are both classroom autonomy support and structure equally important for students'engagement? A multilevel analysis. Learning and Instruction, 41, 1-10.
[29] Howard S. K., Ma J., & Yang J. (2016). Student rules: Exploring patterns of students'computer-efficacy and engagement with digital technologies in learning. Computers and Education, 101, 29-42.
[30] Kim, T. Y., & Wang, J. (2008). Proactive personality and newcomer feedback seeking: The moderating roles of supervisor feedback and organizational justice. In M. A. Rahim (Ed.), Current topics in management (pp. 91-108). Transaction Publishers.
[31] Lei H., Cui Y. H., & Chiu M. M. (2018). The relationship between teacher support and students'academic emotions: A meta-analysis. Frontiers in Psychology, 8, Article 2288.
[32] Lin S. H., Lu W. C., Chen M. Y., & Chen L. H. (2014). Association between proactive personality and academic self-efficacy. Current Psychology, 33(4), 600-609.
[33] Major D. A., Turner J. E., & Fletcher T. D. (2006). Linking proactive personality and the Big Five to motivation to learn and development activity. Journal of Applied Psychology, 91(4), 927-935.
[34] McCormick B. W., Guay R. P., Colbert A. E., & Stewart G. L. (2019). Proactive personality and proactive behaviour: Perspectives on person-situation interactions. Journal of Occupational and Organizational Psychology, 92(1), 30-51.
[35] Parker S. K., Bindl U. K., & Strauss K. (2010). Making things happen: A model of proactive motivation. Journal of Management, 36(4), 827-856.
[36] Patrick H., Knee C. R., Canevello A., & Lonsbary C. (2007). The role of need fulfillment in relationship functioning and well-being: A self-determination theory perspective. Journal of Personality and Social Psychology, 92(3), 434-457.
[37] Pellas, N. (2014). The influence of computer self-efficacy, metacognitive self-regulation and self-esteem on student engagement in online learning programs: Evidence from the virtual world of second life. Computers in Human Behavior, 35, 157-170.
[38] Phan T., McNeil S. G., & Robin B. R. (2016). Students'patterns of engagement and course performance in a Massive Open Online Course. Computers and Education, 95, 36-44.
[39] Robinson, C. C., & Hullinger, H. (2008). New benchmarks in higher education: Student engagement in online learning. Journal of Education for Business, 84(2), 101-109.
[40] Ryan R. M.,& Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Press.
[41] Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, Article 101860.
[42] Schaufeli W. B., Salanova M., González-Romá V., & Bakker A. B. (2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness Studies, 3(1), 71-92.
[43] Wang J., Liu R. D., Ding Y., Xu L., Liu Y., & Zhen R. (2017). Teacher's autonomy support and engagement in math: Multiple mediating roles of self-efficacy, intrinsic value, and boredom. Frontiers in Psychology, 8, Article 1006.
[44] Zheng F. J., Khan N. A., & Hussain S. (2020). The COVID 19 pandemic and digital higher education: Exploring the impact of proactive personality on social capital through internet self-efficacy and online interaction quality. Children and Youth Services Review, 119, Article 105694.
[45] Zhou L. H., Ntoumanis N., & Thøgersen-Ntoumani C. (2019). Effects of perceived autonomy support from social agents on motivation and engagement of Chinese primary school students: Psychological need satisfaction as mediator. Contemporary Educational Psychology, 58, 323-330.