A Literature Review of Statistical Teaching Research in Big Data Environment
DOI:
https://doi.org/10.24203/ajeel.v9i5.6738Keywords:
Big data environment, Statistics teaching, ReviewAbstract
The arrival of the big data era brings not only opportunities but also challenges to statistics teaching. It is of great significance to explore the statistics teaching mode under the big data environment. Closely following the frontier of Statistics teaching research in the big data environment, this paper combs the literature on statistics teaching research in the big data environment. Through analysis, it is found that the statistics teaching should give consideration to "systematicness" and "pertinence" closely with the pace of the era, constantly cultivate big data thinking, and make good use of statistics, a "sharp tool" for mining data value, so as to better serve social development in the big data environment.
References
Cheng Xiaobo, Zhou Min, Yu Shiyang, Li Junpeng. Marching towards a Fully Connected Intelligent World:5G Era·Big Data·Intelligence[M]. Beijing: Social Science Literature Press,2019:3-4
Fu Yiping. On the opportunities, challenges and development trend of statistics in the era of big data[J]. China management informatization, 2016,19 (14): 245-246
Guo Huadong. Scientific Big Data—A Footstone of National Strategy for Big Data[J]. Bulletin of Chinese Academy of Sciences, 2018,33 (8): 768-773
Victor Mayer Schoenberg, Kenneth kukeyer, translated by Sheng Yangyan and Zhou Tao. Big Data Era: A Revolution that Will Transform How We Live,Work and Think[M]. Hangzhou: Zhejiang People's publishing house, 2013:27,45,67-68
Chen Xingwei, Shi Suncheng. Development and Thinking of Statistics in the Era of Big Data[J]. Journal
of Fujian Computer, 2018,34 (12): 92-93
Han Chunhua. Research on Statistics Teaching Model under the Dual Influence of Big Data Era and Artificial Intelligence[J]. Course Education Research, 2019 (40): 31-32
Mao Jiangwei. Opportunities and Challenges of Statistics in the Era of Big Data[J]. Journal of Heihe University, 2017,8 (10): 56-57
Wang Zhenlei. Exploration and Practical Research on "Wisdom" Teaching Mode and Cultivation of College Students' Innovative Ability under the Background of Big Data -- Taking Statistics as an Example [J]. Education Modernization, 2019,6 (71): 59-62
Xue gang. Research on Statistics teaching Reform in Higher Vocational Education under the Background of Big Data[J]. Scientific consulting, 2021, {4} (07): 187-188
Cai Jing, Jiang qingqiong, Gao Wei. Construction and Implementation of Practical Teaching System for Statistics Major in the Era of Big Data[J]. Science and Technology & Innovation, 2021, {4} (12): 72-74
Zhu Jixu, Chen Xiaoshi. How to Construct the Practical Teaching System of Economic Statistics Under The Background of Big Data [J]. Marketing Industry, 2020 (41): 94-95
Jiang Liufang. On the Teaching Optimization of Statistics Courses in Colleges and Universities in the Era of Big Data [J]. Asia-Pacific Education, 2019 (11): 48
Cheng Sheng. Research on Undergraduate Teaching System of Statistics Under the Background of Big Data[J]. Education and Teaching Forum, 2018 (16): 169-170
Pan Baoguo. Construction of Practical Teaching System of Statistics Major in Local Colleges and Universities in the Era of Big Data[J]. Journal of Higher Education, 2016 (19): 46-47
Wang Huifang. Research On the Reform and Innovation of Statistics Curriculum for Economics and Management Majors Under the Background of Big Data [J].The Science Education Article Collects, 2021 (06): 128-130
Zhan Haoyong, Feng Jinli. Research on the Construction of Open Circular Teaching System of Economics and Management Statistics Under the Background of Big Data [J]. Modern Business Trade Industry, 2021,42 (19): 129-131
Zhou Jingmiao. Research on the Design of Statistical Practice Teaching System for Economics and Management Major in the Era of Big Data [J]. Science & Technology Vision, 2021 (13): 160-161
Gu Jianhua. Construction of Statistics Curriculum System for Economics and Management Majors in the Era of Big Data [J]. Education and Teaching Forum, 2016 (13): 54-55
Liu Shirui, Li Xiangsu. Practice and Thinking on Teaching Reform of Psychological and Educational Statistics Under the Background of Big Data [J]. Survey of Education, 2020,9 (14): 116-117 + 144
Zou Yuye. Research on the Teaching Reform of Statistics Major in Shipping Colleges and Universities in the Era of Big Data [J]. The Guide of Science & Education, 2019 (35): 58-59
Deng Xiaoqin. Teaching Reform of Financial Statistics in the Era of Big Data[J].Modern Business Trade Industry, 2020,41 (17): 211-212
Zhang Huidong. Using Big Data To Innovate and Develop the Teaching Reform of Statistics Course of Social Security Specialty [J]. Education and Teaching Forum, 2019 (52): 96-97
Zhang Ning. Thoughts on the Teaching of Health Management Statistics in the Era of Big Data[J]. Medical
Education Management, 2017,3 (06): 458-460
Tang Zaixiang. Thoughts on Medical Statistics Teaching Under the Background of Big Data [J]. Journal of
Lianyungang Technical College, 2017,30 (03): 69-73
Li Suo, Zheng Xin, Shan Xuesong, Zhao Jing. Research on Biostatistics Teaching Reform in the Era of Big Data [J]. Education Modernization, 2017,4 (48): 45-46 + 65
Li Guanjun, he Shihong. Thoughts on the reform of teaching content of statistics course for Logistics Specialty in the era of big data [J]. Journal of Guangxi Normal University (Philosophy and Social Sciences Edition), 2015,36 (05): 125-127
Peng Jiaying. Exploration on Offline Teaching Quality Monitoring and Evaluation Under the Background Of Big Data -- Taking Statistics Course As An Example [J]. Survey Of Education, 2020,9 (37): 64-67
Sun Rong. Quantitative Evaluation Of Teachers' Teaching Ability in the Era Of Big Data -- Taking Statistics Teachers As An Example [J]. Journal Of Chengdu Normal University, 2020,36 (05): 19-27
Liang Lei. Research on Improving the Teaching Ability Of Statistics Under the Background Of Big Data [J]. Computer Products and Circulation, 2017 (08): 168 + 170
Fu Zichun. Research on Innovation Of Training Mode Of Composite Talents Majoring in Statistics Under the Background Of Big Data [J]. Chinese and Foreign Entrepreneurs, 2020 (14): 152
Zhang Chen, Lu Yuan. Research on Teaching Practice Of Innovative Talents Majoring in Statistics Under the Background Of Big Data [J]. Education Modernization, 2018,5 (36): 102-104
Xue Jing. Training Of Statistical Talents in Colleges and Universities in the Era Of Big Data [J]. Scientific and Technological Economic Market, 2018 (01): 182-184
Wan Yuanyuan. Training Of Applied Talents in Independent Colleges in the Era Of Big Data -- Software Teaching Reform Based on Statistics [J]. Education Modernization, 2018,5 (02): 16-17 + 24
Chen Yizhi. Statistical Thinking and Training Of Statistical Talents Under the Background Of Big Data [J]. Journal Of Fuyang Institute Of Technology, 2016,27 (04): 1-4
Han Jingshu. Research on Teaching Methods Of "Statistics" Course Under the Background Of Big Data [J]. Education and Teaching Forum, 2019 (09): 178-179
Wu Dongwu, Wang Runliang. Research on Statistics Teaching Methods in the Context Of Big Data [J]. Journal Of Higher Education, 2017 (15): 76-78
Gao Kaiyan. Research on Experimental Teaching Of Statistics Based on Excel Platform Under Big Data [J]. Journal Of Higher Education, 2018 (04): 92-94
Guo Yingchun. Research on Teaching Methods and Models Of Statistics in the Era Of Big Data [J]. Education Modernization, 2016,3 (32): 20-21
Zhang Qian. Teaching Reform Of Applied Statistics Under the Guidance Of Achievements in the Era Of Big Data [J]. Market Forum, 2020 (06): 78-80 + 90
Miao Jianhua, Han Xingguo, Song Junli. Exploration and Practice Of Mixed Teaching Mode Of Statistics Course Under the Background Of Big Data [J]. Western China Quality Education, 2020,6 (03): 111-112
Sun Xin, Yin Biao. Response Of Statistics Discipline Under the Background Of Big Data Era [J]. Statistics & Decision, 2017, {4} (06): 2 + 189
Rong Zhuqing, Han Xiying. Research on Applied Statistics Teaching Strategies in the Context Of Big Data [J]. Education and Teaching Forum, 2019 (14): 263-264
Dou Dengquan, Zhang Chaoqun. Coping Strategies Of Statistics Teaching in the Era Of Big Data [J]. Western China Quality Education, 2018,4 (18): 157-158
Gu Xiaoyan. Research on Application-Oriented Teaching Reform Of Management Statistics in the Big Data Environment [J]. Education and Teaching Forum, 2019 (08): 119-120
Li Aijie. Influence and Countermeasures Of Big Data Era on Statistics Courses in Colleges and Universities [J]. Education Modernization, 2016,3 (11): 66-69
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Chunhua Han
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
- Papers must be submitted on the understanding that they have not been published elsewhere (except in the form of an abstract or as part of a published lecture, review, or thesis) and are not currently under consideration by another journal published by any other publisher.
- It is also the authors responsibility to ensure that the articles emanating from a particular source are submitted with the necessary approval.
- The authors warrant that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required.
- The authors ensure that all the references carefully and they are accurate in the text as well as in the list of references (and vice versa).
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-NonCommercial 4.0 International that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.