Probing Scaffolding Self-Regulated Learning Responses, Resources Contribution and Target Achievements of University Students in Statistics Course

Q2 Computer Science
Aeng Muhidin, Basuki Wibawa, None Khaerudin, Shinta Doriza, Imam Fitri Rahmadi
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引用次数: 0

Abstract

Scaffolding self-regulated learning is an emerging research agenda in higher education. However, scaffolding self-regulated learning in a relatively complex subject such as statistics is still understudied. The present study addresses this matter by observing university students’ engagement in scaffolding self-regulated learning in a statistics course focusing on their scaffolding responses, resources contribution and target achievements. It was an exploratory case study with the participation of 26 private university students who are enrolled in the fifth semester as their third-year studies. The results indicate that university students are aware of statistics learning goals but overtargeting achievements, as they were less likely to achieve their decided targets. Students prefer to write a self-reflection than take notes. The different duration of watching videos and reading modules does not vary in quiz performance. The current findings add a novel understanding that self-regulated statistics learning requires advanced scaffolds to promote higher outcomes because of its characteristics as a complex and abstract subject.
大学生在统计学课程中的自主学习反应、资源贡献与目标成就探析
脚手架式自主学习是高等教育领域一个新兴的研究课题。然而,在统计学这样一个相对复杂的学科中,脚手架式自我调节学习的研究仍然不足。本研究通过观察大学生在统计学课程中的框架自我调节学习参与情况,关注他们的框架反应、资源贡献和目标成就。这是一项探索性案例研究,有26名私立大学三年级第五学期的学生参与。结果表明,大学生意识到统计学习目标,但过于看重成绩,因为他们不太可能实现自己的既定目标。学生们更喜欢写自我反思而不是记笔记。观看视频和阅读模块的不同时长对测试成绩没有影响。目前的研究结果增加了一种新的认识,即自我调节的统计学习需要先进的支架来促进更高的结果,因为它是一门复杂和抽象的学科。
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来源期刊
International Journal of Interactive Mobile Technologies
International Journal of Interactive Mobile Technologies Computer Science-Computer Networks and Communications
CiteScore
5.20
自引率
0.00%
发文量
250
审稿时长
8 weeks
期刊介绍: This interdisciplinary journal focuses on the exchange of relevant trends and research results and presents practical experiences gained while developing and testing elements of interactive mobile technologies. It bridges the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions. Fields of interest include, but are not limited to: -Future trends in m-technologies- Architectures and infrastructures for ubiquitous mobile systems- Services for mobile networks- Industrial Applications- Mobile Computing- Adaptive and Adaptable environments using mobile devices- Mobile Web and video Conferencing- M-learning applications- M-learning standards- Life-long m-learning- Mobile technology support for educator and student- Remote and virtual laboratories- Mobile measurement technologies- Multimedia and virtual environments- Wireless and Ad-hoc Networks- Smart Agent Technologies- Social Impact of Current and Next-generation Mobile Technologies- Facilitation of Mobile Learning- Cost-effectiveness- Real world experiences- Pilot projects, products and applications
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