Is Self-Regulation Able to Mediate the Effect of Self-Effort on E-Learner Success in the Islamic State University?

Dwi Sulistiani, S. Amin, Abdul Bashith
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Abstract

This study aim to seek the relationship between self-effort and e-learner success, either directly or through self-regulation. This type of research is quantitative. The research method used is an exploratory survey. Primary data were obtained from questionnaires filled out by 923 Social Science Education students at all State Islamic Universities in Indonesia. 11 State Islamic Universities with a Social Science Education program participated in this research. The direct test uses Ordinary Least Square (OLS), while the indirect effect is tested using the Sobel test. The results of this study can prove that self-effort has a direct and indirect positive influence on e-learner success through self-regulation. Students with high self-effort will be able to improve their self-regulation, impacting their e-learning success. This evidence shows that e-learning requires students' independence to succeed academically. This research provides a theoretical contribution to the development of e-learning theory. Students in online learning success need self-effort and self-regulation because, in online learning, students are required to be more active than in direct learning in class. The author recommends further research to expand other variables that affect the success of e-learning with different models and theories, such as expectation confirmatory theory, technology acceptance model, intention to continue using LMS, course and information quality.
自我调节是否能够调节自我努力对伊斯兰州立大学电子学习者成功的影响?
本研究旨在探讨自我努力与网络学习成功之间的关系,无论是直接关系还是通过自我调节关系。这种类型的研究是定量的。研究方法为探索性调查。主要数据来自印度尼西亚所有州立伊斯兰大学923名社会科学教育专业学生填写的问卷。11所设有社会科学教育专业的州立伊斯兰大学参与了本研究。直接检验采用普通最小二乘法(OLS),间接效应检验采用Sobel检验。本研究结果可以证明自我努力通过自我调节对网络学习者的成功具有直接和间接的正向影响。自我努力程度高的学生能够提高自我调节能力,从而影响其在线学习的成功。这一证据表明,电子学习需要学生的独立性才能在学业上取得成功。本研究为电子学习理论的发展提供了理论贡献。学生在网上学习的成功需要自我努力和自我调节,因为在网上学习中,学生需要比在课堂上直接学习更积极主动。作者建议进一步研究,用不同的模型和理论来扩展影响e-learning成功的其他变量,如期望验证理论、技术接受模型、继续使用LMS的意愿、课程和信息质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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