College Mathematics Teaching Method Based on Big Data

College Mathematics Teaching Method Based on Big Data

With the aid of big data technology, this paper enumerates the existing problems of college mathematics teaching, and designs a big data-based method for mathematics teaching among college students. The student-centered design method highlights the evaluation of learning effects, making both teachin...

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Bibliographic Details
Main Authors: Limin Cui, Yonglong Liao, Ying Wang, Xiaoyan Dong
Format: Article
Language:English
Published: Kassel University Press 2019-07-01
Series:International Journal of Emerging Technologies in Learning (iJET)
Subjects:
big data
mathematics
teaching design
evaluation
Online Access:https://online-journals.org/index.php/i-jet/article/view/10708
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spelling doaj-81f60fc9253d4c269d26e5d552b91f8d2020-11-25T02:33:24ZengKassel University PressInternational Journal of Emerging Technologies in Learning (iJET)1863-03832019-07-011413475810.3991/ijet.v14i13.107084558College Mathematics Teaching Method Based on Big DataLimin Cui0Yonglong Liao1Ying Wang2Xiaoyan Dong3Department of Mathematics and Physics, Beijing Institute of Petrochemical TechnologyDepartment of Mathematics and Physics, Beijing Institute of Petrochemical TechnologyDepartment of Mathematics and Physics, Beijing Institute of Petrochemical TechnologyDepartment of Mathematics and Physics, Beijing Institute of Petrochemical TechnologyWith the aid of big data technology, this paper enumerates the existing problems of college mathematics teaching, and designs a big data-based method for mathematics teaching among college students. The student-centered design method highlights the evaluation of learning effects, making both teaching and learning more efficient. The method was applied to the teaching reform in an actual college and achieved good results. The research findings shed new light on the mathematics teaching and learning in colleges.https://online-journals.org/index.php/i-jet/article/view/10708big datamathematicsteaching designevaluation
collection DOAJ
language English
format Article
sources DOAJ
author Limin Cui
Yonglong Liao
Ying Wang
Xiaoyan Dong
spellingShingle Limin Cui
Yonglong Liao
Ying Wang
Xiaoyan Dong
College Mathematics Teaching Method Based on Big Data
International Journal of Emerging Technologies in Learning (iJET)
big data
mathematics
teaching design
evaluation
author_facet Limin Cui
Yonglong Liao
Ying Wang
Xiaoyan Dong
author_sort Limin Cui
title College Mathematics Teaching Method Based on Big Data
title_short College Mathematics Teaching Method Based on Big Data
title_full College Mathematics Teaching Method Based on Big Data
title_fullStr College Mathematics Teaching Method Based on Big Data
title_full_unstemmed College Mathematics Teaching Method Based on Big Data
title_sort college mathematics teaching method based on big data
publisher Kassel University Press
series International Journal of Emerging Technologies in Learning (iJET)
issn 1863-0383
publishDate 2019-07-01
description With the aid of big data technology, this paper enumerates the existing problems of college mathematics teaching, and designs a big data-based method for mathematics teaching among college students. The student-centered design method highlights the evaluation of learning effects, making both teaching and learning more efficient. The method was applied to the teaching reform in an actual college and achieved good results. The research findings shed new light on the mathematics teaching and learning in colleges.
topic big data
mathematics
teaching design
evaluation
url https://online-journals.org/index.php/i-jet/article/view/10708
work_keys_str_mv AT limincui collegemathematicsteachingmethodbasedonbigdata
AT yonglongliao collegemathematicsteachingmethodbasedonbigdata
AT yingwang collegemathematicsteachingmethodbasedonbigdata
AT xiaoyandong collegemathematicsteachingmethodbasedonbigdata
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