2022 Vol.5 March.No1

• Title: Research on the construction of higher education evaluation system from the perspective of Internet plus
• Name: Lei Han
• Company: Department of primary education, Yuzhang Normal University, Nanchang, Jiangxi 330103 China
• Abstract:

  Applying big data technology to higher education evaluation system can change the concept of higher education evaluation system, improve the breadth and validity of evaluation, enrich the participants of education evaluation, and promote the realization of scientific education decision-making. In order to build an evaluation system based on big data, colleges and universities should scientifically collect multi module educational data, form educational data analysis methods according to teaching needs, combine goal management with process monitoring, create data assessment and feedback mechanism, and apply improvement measures for the big data evaluation system itself. Colleges and universities should provide technical, organizational and talent guarantee for the construction of big data education evaluation system.

  
  

• Keyword: Internet plus; Higher education; Educational evaluation
• DOI: 10.12250/jpciams2021090401
• Citation form: Lei Han.Research on the construction of higher education evaluation system from the perspective of Internet plus [J]. Computer Informatization and Mechanical System,2021,Vol.4,pp.10-17

Reference

[1] Nguyen Minh Tu,Nguyen Thanh Gia, Tran Tho Thi Anh, Nguyen Thi Thanh Nhan, Le Dinh Duong, Nguyen Thi Thanh Binh, Hoang Huu Hai, Ho Thi Linh Dan, Tran Binh Thang. 2022, Network analysis of psychological factors related to academic pressure faced by medical students in the central and highland regions of Vietnam,Medical Education Online. PP(27):2007577-2007

[2]  Ai Qing, Guo Hongyu. 2022, Intelligent Data Mining-Based Method for Efficient English Teaching and Cultural Analysis, International Journal of Mobile Computing and Multimedia Communications. PP(2):1-14

[3] Jiang Miaomiao, Sun Yuwei, Gong Daqing. 2022,An Optimized Decision Method for Smart Teaching Effect Based on Cloud Computing and Deep Learning, Computational Intelligence and Neuroscience. PP(2022):6907172-690717

[4]  Liu, Suping, Zhang, Jibo, Su, Wenlong. 2022,  An improved method of identifying learner's behaviors based on deep learning, The Journal of Supercomputing. PP(10):1-12

[5]  Shang Wen-lan, Mumtaz Shahid. 2022, Application of Machine Learning and Internet of Things Techniques in Evaluation of English Teaching Effect in Colleges. Computational Intelligence and Neuroscience. PP(2022):7643006-7643006

[6] Wang Chuan'an, Li Baozhu, Cheng Bin, Yang Jianting, zhou Lili. 2022,Research on learning initiative Based on behavior quantization and potential value clustering, Alexandria Engineering Journal. PP(7):5621-5627

[7] Zhao Shouzheng, Chen Jielei. 2022, The Influence of E-Book Teaching on the Motivation and Effectiveness of Learning Law by Using Data Mining Analysis, Journal of Organizational and End User Computing. PP(3): 1-17

[8]  Picka Karel, Dosedla Martin, Hrbáček Jiří, Hodis Zdeněk. 2022, Teachers’ experience with digital games in Czech primary schools. Entertainment Computing. PP(42):100483.

[9] Wang Xiaoshu, Zhao Suhua, Liu Jingwen, Wang Liyan. 2022, College music teaching and ideological and political education integration mode based on deep learning. Journal of Intelligent Systems. PP(1):466-476.

[10] Ito Hiroshi, Yamamoto Kenjiro, Mori Hiroki, Ogata Tetsuya. 2022, Efficient multitask learning with an embodied predictive model for door opening and entry with whole-body control. Science Robotics. PP(65): eaax8177-eaax8177.

[11]  Dawe Louise N., GarcíaRuiz Juan Manuel, Hadju Janos, McIntyre Garry J., Meilleur Flora, Stephenson Lisa. 2022,Teaching and Education highlighted, Journal of Applied Crystallography. PP(2):215-217.

[12] Ai Qing, Guo Hongyu. 2022, Intelligent Data Mining-Based Method for Efficient English Teaching and Cultural Analysis, International Journal of Mobile Computing and Multimedia Communications. PP(2):1-14.

[13] Gao Meirong. 2022,Smart campus teaching system based on ZigBee wireless sensor network, lexandria Engineering Journal. PP(4):2625-2635.

[14] Diseko Rabaitse, Nyamande Thuladu Thuladu, Kuhudzai Gelfand Anesu. 2022. Factors Affecting Teacher Acceptance of Tablets in Their Teaching Practice: A Case Study in the South African Context, International Journal of Mobile and Blended Learning. PP(1):1-20.

[15] Wang Chuan'an, Li Baozhu, Cheng Bin, Yang Jianting, zhou Lili. 2022. Research on learning initiative Based on behavior quantization and potential value clustering, Alexandria Engineering Journal. PP(7):5621-5627.

[16] Wang Xiaoshu, Zhao Suhua, Liu Jingwen, Wang Liyan. 2022.  College music teaching and ideological and political education integration mode based on deep learning, Journal of Intelligent Systems. PP(1):466-476.

[17] Ai Qing, Guo Hongyu. 2022. Intelligent Data Mining-Based Method for Efficient English Teaching and Cultural Analysis, International Journal of Mobile Computing and Multimedia Communications. PP(2):1-14.

[18] Jiang Miaomiao, Sun Yuwei, Gong Daqing. 2022. An Optimized Decision Method for Smart Teaching Effect Based on Cloud Computing and Deep Learning, Computational Intelligence and Neuroscience. PP(2020):6907172-6907172.

[19] Liu, Suping, Zhang, Jibo, Su, Wenlong. 2022. An improved method of identifying learner's behaviors based on deep learning, The Journal of Supercomputing. PP(1):1-12

[20] Chen, Jing, Lu, Hui. 2022. Evaluation Method of Classroom Teaching Effect Under Intelligent Teaching Mode, Mobile Networks and Applications. PP(3):1-9.