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      Era of Big Data Is Based on The Study of Physical Education Teaching Mode In MOOC

      Journal of Physics: Conference Series
      IOP Publishing

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          Abstract

          With the advent of the era of big data, it provides a new vision and broad thinking for the evaluation of physical education teaching in colleges and universities. Using the knowledge of big data to study the physical education evaluation system in colleges and universities can not only promote the implementation of physical education evaluation in colleges and universities, but also effectively improve the quality of physical education teaching in colleges and universities. With its characteristics of popularity and openness, MOOC has become a brand new learning platform, changed the traditional educational concept, provided the latest and most effective educational resources for the educated to learn, and exerted a great influence on the current education system. Physical education, as an important part of the education system, is no exception. Based on the TEACHING mode of MOOC in the era of big data, this paper conducts a certain research by adopting the methods of questionnaire survey and expert interview, and concludes that MOOC learners are as young as 13 and as old as 40. Among them, male learners account for 69%, female learners account for 55%, users aged 13-18 account for 13%, users aged 17-21 account for 75%, users aged 21-29 account for 24% and users aged 29-40 account for 14%.

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          Most cited references8

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          Application of Flipped Classroom Teaching Mode Based on MOOC in Modern Educational Technology Teaching

          Yao Ying (2017)
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            Kira: Processing Astronomy Imagery Using Big Data Technology

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              Estimation of ship operational efficiency from AIS data using big data technology

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                Author and article information

                Journal
                Journal of Physics: Conference Series
                J. Phys.: Conf. Ser.
                IOP Publishing
                1742-6588
                1742-6596
                February 01 2021
                February 01 2021
                : 1744
                : 3
                : 032008
                Article
                10.1088/1742-6596/1744/3/032008
                a5536bae-c58f-4287-9b4d-d14c5decd2cf
                © 2021

                http://creativecommons.org/licenses/by/3.0/


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