{"title":"在在线本科课程中将自我调节学习与探究社区联系起来:以人为本的方法","authors":"Chungsoo Na, Soojeong Jeong, Jody Clarke-Midura, Youngin Shin","doi":"10.1007/s11423-024-10380-y","DOIUrl":null,"url":null,"abstract":"<p>The Community of Inquiry (CoI) framework has gained widespread recognition as a theoretical model for understanding student learning in online environments. Despite its prevalence, CoI has been critiqued for its limited emphasis on learners’ proactive roles in self-regulating their own learning. To address this, researchers have suggested integrating self-regulated learning (SRL) into the CoI framework. This integration calls for empirical research to explore the relationship between SRL and the three established CoI presences: teaching, social, and cognitive. Using a person-centered approach, this study examines how varying SRL skills among 750 undergraduate students in an online introductory mathematics course are related to the three CoI components. Latent profile analyses identified five distinct SRL profiles: <i>minimal regulators, low regulators with limited social skills, low regulators, moderate regulators, and competent regulators</i>. We found that students in higher SRL profiles demonstrated higher perception of CoI, whereas those in relatively lower SRL profiles showed lower levels of perceived CoI. Our findings underscore the importance of incorporating self-regulation in the CoI framework for a more comprehensive understanding of online learning.</p>","PeriodicalId":501584,"journal":{"name":"Educational Technology Research and Development","volume":"24 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Linking self-regulated learning to community of inquiry in online undergraduate courses: A person-centered approach\",\"authors\":\"Chungsoo Na, Soojeong Jeong, Jody Clarke-Midura, Youngin Shin\",\"doi\":\"10.1007/s11423-024-10380-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The Community of Inquiry (CoI) framework has gained widespread recognition as a theoretical model for understanding student learning in online environments. Despite its prevalence, CoI has been critiqued for its limited emphasis on learners’ proactive roles in self-regulating their own learning. To address this, researchers have suggested integrating self-regulated learning (SRL) into the CoI framework. This integration calls for empirical research to explore the relationship between SRL and the three established CoI presences: teaching, social, and cognitive. Using a person-centered approach, this study examines how varying SRL skills among 750 undergraduate students in an online introductory mathematics course are related to the three CoI components. Latent profile analyses identified five distinct SRL profiles: <i>minimal regulators, low regulators with limited social skills, low regulators, moderate regulators, and competent regulators</i>. We found that students in higher SRL profiles demonstrated higher perception of CoI, whereas those in relatively lower SRL profiles showed lower levels of perceived CoI. Our findings underscore the importance of incorporating self-regulation in the CoI framework for a more comprehensive understanding of online learning.</p>\",\"PeriodicalId\":501584,\"journal\":{\"name\":\"Educational Technology Research and Development\",\"volume\":\"24 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Educational Technology Research and Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11423-024-10380-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Educational Technology Research and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11423-024-10380-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
探究社区(CoI)框架作为一种理解学生在网络环境中学习的理论模型,已得到广泛认可。尽管 CoI 框架很普遍,但它对学习者在自我调节学习中的主动作用强调有限,因而受到批评。为了解决这个问题,研究人员建议将自我调节学习(SRL)纳入 CoI 框架。这种整合要求开展实证研究,探索自律学习与三个既定的协同创新存在之间的关系:教学、社会和认知。本研究采用以人为本的方法,考察了在线数学入门课程中 750 名本科生不同的 SRL 技能与三个 CoI 要素之间的关系。通过潜在特征分析,我们发现了五种不同的自律学习能力特征:最低调节能力、社交能力有限的低调节能力、低调节能力、中等调节能力和胜任调节能力。我们发现,自律学习能力较高的学生表现出较高的协同作用感知,而自律学习能力相对较低的学生则表现出较低的协同作用感知。我们的发现强调了将自我调节纳入 CoI 框架的重要性,以便更全面地了解在线学习。
Linking self-regulated learning to community of inquiry in online undergraduate courses: A person-centered approach
The Community of Inquiry (CoI) framework has gained widespread recognition as a theoretical model for understanding student learning in online environments. Despite its prevalence, CoI has been critiqued for its limited emphasis on learners’ proactive roles in self-regulating their own learning. To address this, researchers have suggested integrating self-regulated learning (SRL) into the CoI framework. This integration calls for empirical research to explore the relationship between SRL and the three established CoI presences: teaching, social, and cognitive. Using a person-centered approach, this study examines how varying SRL skills among 750 undergraduate students in an online introductory mathematics course are related to the three CoI components. Latent profile analyses identified five distinct SRL profiles: minimal regulators, low regulators with limited social skills, low regulators, moderate regulators, and competent regulators. We found that students in higher SRL profiles demonstrated higher perception of CoI, whereas those in relatively lower SRL profiles showed lower levels of perceived CoI. Our findings underscore the importance of incorporating self-regulation in the CoI framework for a more comprehensive understanding of online learning.