Retracted Article

Intelligent Automation of Student Performance Assessment based on Cloud Services

Authors

  • Xinyu Cai Capital University of Economics and Business
  • Natalya Garnova Sechenov First Moscow State Medical University (Sechenov University)
  • Alla Filippova Sechenov First Moscow State Medical University (Sechenov University)
  • Sergey Glushkov Sechenov First Moscow State Medical University (Sechenov University)

DOI:

https://doi.org/10.3991/ijet.v16i02.18827

Keywords:

efficiency improvement, information technologies, innovative approaches, Power BI, process automation, student performance.

Abstract


This article has been retracted by the iJET editorial team:

The article on this page has been associated with fraudulent publication practices after its publication in iJET. The work could be linked to a criminal paper mill selling authorships and articles for publication in several online journals to paying customers.

The iJET editorial team was initially informed about the paper mill’s fraudulent activities by Dr. Perron (University of Michigan) and his team on 08/03/2021. The investigation results were published on RetractionWatch under https://retractionwatch.com/author/perronetal/ on 12/20/2021. Based on the evidence provided by Dr. Perron and his team, the iJET editorial team considerably questions the paper’s scientific integrity and legitimacy as part of the scientific body. Finally, iJET decided to retract the paper.

Neither iJET, Online-Journals.org, nor IAOE stands in any contact with the paper mill’s fraudulent activities. We condemn such procedures and dissociate ourselves from any person or entity, which is knowingly or unknowingly part of it.

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Published

2021-01-26

How to Cite

Cai, X., Garnova, N., Filippova, A., & Glushkov, S. (2021). Retracted Article: Intelligent Automation of Student Performance Assessment based on Cloud Services. International Journal of Emerging Technologies in Learning (iJET), 16(02), pp. 149–158. https://doi.org/10.3991/ijet.v16i02.18827

Issue

Section

Papers