Abstrait

Application research of analysis and decision of students mark based on the big data

Yu Hua


With the increase enrollments of college and high rates of participation, the traditional approaches of analysis and decision of studentÂÂ’s mark cannot gain a good effect which only divides marks into excellent, fine, ordinary and bad with statistic of each rank, failing to the deep analysis, even cannot find the problems in teaching. So it is bad for the revolution of education and the promotion of teaching quality. This research focuses on the application of analysis and decision of studentÂÂ’s mark based on the big data, seeking the factors influencing studentsÂÂ’ marks and provides theoretical foundation for later teaching work.


Indexé dans

  • CASS
  • Google Scholar
  • Ouvrir la porte J
  • Infrastructure nationale du savoir de Chine (CNKI)
  • CiterFactor
  • Cosmos SI
  • Répertoire d’indexation des revues de recherche (DRJI)
  • Laboratoires secrets des moteurs de recherche
  • Euro Pub
  • ICMJE

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