Abstract
The purpose is to improve the monitoring and evaluation of the teaching quality of higher education based on the 6G IoT (Internet of Things) communication, and study the application of data mining technology in the management of teaching systems. First, a series of methods and the theoretical basis of IoT communication and data mining technology are displayed, and the data of higher education and teaching quality are collected, sorted, processed, and analyzed. Second, combined with the relevant data and survey results, the problems existing in the current teaching quality evaluation system in colleges and universities are explored, and the corresponding solutions are put forward. Finally, an experiment is carried out, and Shaanxi University of science and technology is taken as the research object to study the teaching quality evaluation system based on data mining. The results show that the embedded system in 6G IoT can transmit the data collected by the sensor layer to the network layer, realize the docking interaction between the sensor and the Internet, and accurately record students' learning behaviors. The application of data mining to the data analysis can evaluate students' learning status and teaching quality clearly and manage classroom resources. Therefore, IoT is combined with data mining technology to monitor and evaluate the teaching quality in colleges and universities.
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References
Abualigah L (2020) Group search optimizer: a nature-inspired meta-heuristic optimization algorithm with its results, variants, and applications. Neural Comput Appl 33:1–24
Abualigah L, Diabat A (2020) A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments. Clust Comput 24:1–19
Aleksandra KM, Mirjana I, Zoran B (2017) Data science in education: big data and learning analytics. Comput Appl Eng Educ 25(6):1066–1078
Chen J, Wu XL, Huang J (2019) Research on the teaching quality evaluation system based on cloud computing. Softw Guide 18(4):108–110
Devedzic V, Devedzic M (2019) Technology-enhanced assessment at universities and in schools: an initiative. Int J Learn Teach 11(3):89–98
Gêrlan CS (2016) 113/5000 The teaching process English language learning: through the digital information and communication technologies/O processo de ensino aprendizagem de língua inglesa: através das tecnologias digitais de informação e comunicação. Div 1(3):366–370
Jin M, Wang Y, Zeng Y (2018) Application of data mining technology in financial risk analysis. Wireless Pers Commun 102(4):3699–3713
Jin M, Wang H, Zhang Q (2019) Association rules redundancy processing algorithm based on hypergraph in data mining. Clust Comput 22(4):8089–8098
Lee S (2017) Communication technology and application of internet of things (IoT) in smart home environment. Int J Control Autom 10(3):397–404
Li Y, Zhao X (2016) The application of data mining technology in the quality evaluation system of classroom teaching in higher vocational colleges. Zhuhai Vocat Educ 22(3):17–22
Li A, Liu K, Ge Z (2015) Application of data mining in the colleges’ in-class teaching quality evaluation system. JCP 10(3):166–175
Li Y, Zhang ZH, Chen WB et al (2017) TDUP: an approach to incremental mining of frequent itemsets with three-way-decision pattern updating. Int J Mach Learn Cybern 8(2):441–453
Liu DG, Shi QZ (2019) Research on the quality control and evaluation of teaching in higher vocational colleges based on big data. Comput Knowl Technol Acad Ed 15(20):141–142
Meng Q, Sha J (2017) Tree-based frequent itemsets mining for analysis of life-satisfaction and loneliness of retired athletes. Clust Comput 20(4):3327–3335
Prabhakar GA, Pothuganti K (2020) Analysis of green data center and energy strategies of internet of things. Int J Innov Res Comput Commun Eng 8(9):3712–3715
Ratnadewi E (2019) Use of information and communication technology in the field of education: case study of electronic learning (E-Learning). Celebes Educ Rev 1(1):18–25
Rouane O, Belhadef H, Bouakkaz M (2019) Combine clustering and frequent itemsets mining to enhance biomedical text summarization. Expert Syst Appl 135:362–373
Saa AA, Al-Emran M, Shaalan K (2019) Factors affecting students’ performance in higher education: a systematic review of predictive data mining techniques. Technol Knowl Learn 24(4):567–598
Serpil Ö (2017) Teacher views on barriers to the integration of information and communication technologies (ICT) in Turkish teaching. Int J Environ Sci Educ 12(3):505–521
Sigrid H (2016) Between assessments, digital technologies and big data: The growing influence of ‘hidden’ data mediators in education. Eur Educ Res J 15(5):523–536
Sorour S, Goda K, Mine T (2017) Comment data mining to estimate student performance considering consecutive lessons. Educ Technol Soc 20(1):73–86
Tang R, Zou J, Chen S, et al (2019) Research on quality modeling of information education in colleges and universities based on web data mining. 2019 International conference on smart grid and electrical automation (ICSGEA). IEEE, 2019, 576–582
Undavia JN, Patel S, Patel A (2017) Future trends and scopes of big data analytics in the field of education. Int J Eng Technol 9(3):9–14
Vincent ES, Justina IN, Agboeze MU et al (2020) Impact of information and communication technology (ICT) literacy in teaching and learning among undergraduate students in South-East Nigerian universities. J Eng Appl Sci 15(7):1813–1820
Wang Y (2020) A comprehensive evaluation system of teaching quality based on big data architecture. Int J Contin Eng Educ Life Long Learn 30(2):176–189
Wang C, Zheng X (2020) Application of improved time series Apriori algorithm by frequent itemsets in association rule data mining based on temporal constraint. Evol Intel 13(1):39–49
Yang H, Zhang LB, Wang L (2019) Research on the evaluation system of teaching quality based on data mining. Heilongjiang Sci 10(3):38–39
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This work was supported by 2020 Teaching Research and Reform Project of Hubei University of Automotive Technology (No.JY2020036).
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Wang, H. Teaching quality monitoring and evaluation using 6G internet of things communication and data mining. Int J Syst Assur Eng Manag 14, 120–127 (2023). https://doi.org/10.1007/s13198-021-01206-8
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DOI: https://doi.org/10.1007/s13198-021-01206-8