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Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector
Visual Computing for Industry, Biomedicine, and Art ( IF 3.2 ) Pub Date : 2021-06-21 , DOI: 10.1186/s42492-021-00084-y
Dhruvil Shah 1 , Devarsh Patel 1 , Jainish Adesara 1 , Pruthvi Hingu 1 , Manan Shah 2
Affiliation  

Although the education sector is improving more quickly than ever with the help of advancing technologies, there are still many areas yet to be discovered, and there will always be room for further enhancements. Two of the most disruptive technologies, machine learning (ML) and blockchain, have helped replace conventional approaches used in the education sector with highly technical and effective methods. In this study, a system is proposed that combines these two radiant technologies and helps resolve problems such as forgeries of educational records and fake degrees. The idea here is that if these technologies can be merged and a system can be developed that uses blockchain to store student data and ML to accurately predict the future job roles for students after graduation, the problems of further counterfeiting and insecurity in the student achievements can be avoided. Further, ML models will be used to train and predict valid data. This system will provide the university with an official decentralized database of student records who have graduated from there. In addition, this system provides employers with a platform where the educational records of the employees can be verified. Students can share their educational information in their e-portfolios on platforms such as LinkedIn, which is a platform for managing professional profiles. This allows students, companies, and other industries to find approval for student data more easily.

中文翻译:

结合机器学习和区块链开发一个系统来否决伪造并在教育领域提供有效的结果

尽管在先进技术的帮助下,教育部门的进步比以往任何时候都快,但仍有许多领域有待发现,而且总会有进一步改进的空间。机器学习 (ML) 和区块链这两项最具颠覆性的技术已帮助用高度技术性和有效的方法取代了教育部门使用的传统方法。在这项研究中,提出了一个系统,将这两种辐射技术结合起来,帮助解决诸如伪造教育记录和伪造学位等问题。这里的想法是,如果可以合并这些技术,并且可以开发出使用区块链存储学生数据和机器学习来准确预测学生毕业后未来工作角色的系统,可以避免学生成绩的进一步伪造和不安全问题。此外,ML 模型将用于训练和预测有效数据。该系统将为大学提供一个官方的分散式数据库,其中包含从那里毕业的学生记录。此外,该系统为雇主提供了一个平台,可以验证员工的教育记录。学生可以在 LinkedIn 等平台上的电子档案中分享他们的教育信息,LinkedIn 是一个管理职业档案的平台。这使学生、公司和其他行业可以更轻松地获得学生数据的批准。该系统将为大学提供一个官方的分散式数据库,其中包含从那里毕业的学生记录。此外,该系统为雇主提供了一个平台,可以验证员工的教育记录。学生可以在 LinkedIn 等平台上的电子档案中分享他们的教育信息,LinkedIn 是一个管理职业档案的平台。这使学生、公司和其他行业可以更轻松地获得学生数据的批准。该系统将为大学提供一个官方的分散式数据库,其中包含从那里毕业的学生记录。此外,该系统为雇主提供了一个平台,可以验证员工的教育记录。学生可以在 LinkedIn 等平台上的电子档案中分享他们的教育信息,LinkedIn 是一个管理职业档案的平台。这使学生、公司和其他行业可以更轻松地获得学生数据的批准。
更新日期:2021-06-21
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