论文标题

通过机器学习优化的同行学习平台

Peer to Peer Learning Platform Optimized With Machine Learning

论文作者

Anantha, Vikram

论文摘要

Helm Learning(帮助每个人学习更多)是第一个在线对等学习平台,它允许学生(通常是中高中生)教授课堂和学生(通常是基本的中学生)免费向课堂学习。这种班级结构方法(对等学习)已被证明可对学习有效,因为它可以促进团队合作和协作,并可以积极学习。 Helm是一个独特的平台,因为它为学生提供了一个简单的过程,可以在结构化的,点对点的环境中创建,教学和学习主题。自2020年4月创建Helm以来,它在全球4大洲的4000多名学生注册和80名老师中获得了超过4000多名。 Helm从一个简单的网站和Google形式平台发展到与Python,SQL,JavaScript和HTML一起编码的后端系统,该系统托管了AWS服务。这不仅使学生更容易报名(因为学生的信息保存在SQL数据库中,这意味着他们可以注册课程而不必再次提供信息,并且可以收到有关课程的自动电子邮件的信息),而且还可以使老师更容易教书(作为补充的过程,例如创建Zoom链接,录制Zoom链接,录制了Zoom links,请自动发送ZOOM链接,请自动发送电子邮件等。此外,Helm还有一个建议机器学习算法,该算法建议学生根据学生参加的以前的课程而喜欢上课。这为学生提供了更轻松的体验,可以注册他们感兴趣的课程。

HELM Learning (Helping Everyone Learn More) is the first online peer-to-peer learning platform which allows students (typically middle-to-high school students) to teach classes and students (typically elementary-to-middle school students) to learn from classes for free. This method of class structure (peer-to-peer learning) has been proven effective for learning, as it promotes teamwork and collaboration, and enables active learning. HELM is a unique platform as it provides an easy process for students to create, teach and learn topics in a structured, peer-to-peer environment. Since HELM was created in April 2020, it has gotten over 4000 student sign ups and 80 teachers, in 4 continents around the world. HELM has grown from a simple website-and-Google-Form platform to having a backend system coded with Python, SQL, JavaScript and HTML, hosted on an AWS service. This not only makes it easier for students to sign up (as the students' information is saved in an SQL database, meaning they can sign up for classes without having to put in their information again, as well as getting automated emails about their classes), but also makes it easier for teachers to teach (as supplemental processes such as creating Zoom links, class recording folders, sending emails to students, etc. are done automatically). In addition, HELM has a recommendation machine learning algorithm which suggests classes and subjects students would enjoy taking, based on the previous classes a student has taken. This has created an easier experience for students to sign up for classes they are interested in.

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