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  Published Paper Details:

  Paper Title

ROBOTIC PROCESS AUTOMATION TO SMART EDUCATION

  Authors

  K. Palanivel ,  K. Suresh Joseph

  Keywords

Smart Education, e-learning, Robotic Process Automation, Software Robots, Virtual Business Assistant.

  Abstract


Today, the rise of Artificial Intelligence (AI), robotics, and other digital technologies are profoundly creating a demand for new professions with evolved digital skills. Educational institutions must adopt these technologies in order to promote digital skills development and empower students to lead active and creative digital lives. Recently, the education sector is ready to witness a revolution with robotics process automation (RPA) technology. RPA offers traditional companies a pathway to digital transformation. It focuses on the elimination of inefficiencies and the effort of human resources that is wasted while executing mundane tasks. RPA helps teachers, educators, students as well as parents directly or indirectly. This solution revolutionizes the education sector as sorting out the registration, reduction in processing time, automating attendance and making sense of it all and improved administration. The objective of this research article is to introduce RPA in education and propose an RPA model to the smart education system. RPA can help out here by saving time and under a budget which is a limited & crucial resource for educational institutes.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2006516

  Paper ID - 195427

  Page Number(s) - 3775-3784

  Pubished in - Volume 8 | Issue 6 | June 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  K. Palanivel ,  K. Suresh Joseph ,   "ROBOTIC PROCESS AUTOMATION TO SMART EDUCATION ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 6, pp.3775-3784, June 2020, Available at :http://www.ijcrt.org/papers/IJCRT2006516.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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