论文标题
不利的学生通过在Covid 19引起的紧急远程学习中通过集体情报曝光来提高他们的学习成绩
Disadvantaged students increase their academic performance through collective intelligence exposure in emergency remote learning due to COVID 19
论文作者
论文摘要
在Covid-19危机期间,全球教育机构从面对面的教学转变为紧急远程教学(ERT)方式。在这种强迫和突然的过渡中,教师和学生没有机会通过学习管理系统(LMS)实现在线学习方式所需的知识或技能。因此,本科教师倾向于主要使用LMS作为信息存储库,而很少促进学生之间的虚拟互动,从而限制了集体智慧对学生的好处。我们分析了7,528名本科生的数据,发现大学生在讨论论坛上的合作和共识动态对他们的最终GPA产生了积极影响,对高中期间学业表现较低的学生的影响更大。这些结果超出了社会经济和其他LMS活动困惑。此外,使用自然语言处理,我们表明,高中期间学业表现较低的一年级学生在讨论论坛中接触到更重要的帖子,从而导致大学GPA明显高于高中绩效的同伴。我们预计这些结果将激励全球高等教育的老师在学生中使用诸如论坛讨论之类的工具来促进合作和共识动态,从而获得社会学习和集体智慧的好处。
During the COVID-19 crisis, educational institutions worldwide shifted from face-to-face instruction to emergency remote teaching (ERT) modalities. In this forced and sudden transition, teachers and students did not have the opportunity to acquire the knowledge or skills necessary for online learning modalities implemented through a learning management system (LMS). Therefore, undergraduate teachers tend to mainly use an LMS as an information repository and rarely promote virtual interactions among students, thus limiting the benefits of collective intelligence for students. We analyzed data on 7,528 undergraduate students and found that cooperative and consensus dynamics among university students in discussion forums positively affect their final GPA, with a steeper effect for students with low academic performance during high school. These results hold above and beyond socioeconomic and other LMS activity confounders. Furthermore, using natural language processing, we show that first-year students with low academic performance during high school are exposed to more content-intensive posts in discussion forums, leading to significantly higher university GPAs than their low-performance peers in high school. We expect these results to motivate higher education teachers worldwide to promote cooperative and consensus dynamics among students using tools such as forum discussions in their classes to reap the benefits of social learning and collective intelligence.