Abstract
The rapid development, popularization, and application of new-generation information technologies such as the Internet of things, big data, artificial intelligence, and cloud computing have greatly promoted the implementation process of education informationization and brought a significant impact on the construction of informationization teaching resources in the era of smart education. Firstly, it investigates and analyzes the current development and utilization of informationization teaching resources in Hunan Province, China, and describes the source, development, and utilization of informationization teaching resources in Hunan. The visual statistics method is further used to analyze the existing digital teaching resource service system, scale, distribution, utilization, and evaluation of informationization teaching resources. This paper objectively points out the problems existing in the construction of informationization teaching resources in primary and secondary schools in Hunan, analyzes the core elements of the evaluation of informationization teaching resources, and constructs the evaluation model of informationization level of teaching resources by exploiting the genetic algorithm. Experiments show the new evaluation model is effective. The evaluation results can correctly reflect the utilization level of teaching resources in primary and secondary schools in Hunan, China.
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References
Hadwer, A.A., Gillis, D., Rezania, D.: Big data analytics for higher education in the cloud era. In: 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA), pp. 203–207 (2019)
Xia, Z., Wang, X., Zhang, L., Qin, Z., Sun, X., Ren, K.: A privacy-preserving and copy-deterrence content-based image retrieval scheme in cloud computing. IEEE Trans. Inf. Forensics Secur. 11, 2594–2608 (2016)
Irshad, K., A Fzal, M.T., Rizvi, S.S., Shahid, A., Chung, T.S.: SwCS: section-wise content similarity approach to exploit scientific big data. Comput. Mater. Continua 67, 877–894 (2021)
Zhang, L.: Modern information technology and education informationization. In: 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), pp. 1137–1140. IEEE, Yichang, China (2012)
Koizumi, R.: Consideration of educational informationization of Japan : current state and problem of ICT use in elementary and primary education. Bull. Fac. Inform. Arts Shobi Univ. 10, 33–45 (2006)
Zhao, C., Bai, X.: Application research on blog and knowledge management in primary and secondary informationization education. China Educational Technique, pp. 9–12 (2007)
Huang, S.: Design and development of educational robot teaching resources using artificial intelligence technology. Int. J. Emerg. Technol. Learn. 16, 116 (2021)
Itsumura, H.: The evaluation of degital information resources. J. Inf. Sci. Technol. Assoc. 50, 266–272 (2000)
Yang, H., Yin, J., Jiang, M.: Perceptual image hashing using latent low-rank representation and uniform LBP. Appl. Sci. 8(2), 317 (2018)
Shi, R.: Research on digital resource evaluation index system of university libraries faced with purchasing decision. In: 2017 2nd International Conference on Politics, Economics and Law (ICPEL 2017), pp. 154–157. Atlantis Press (2017)
Ivanov, V.K., Dumina, D.S., Semenov, N.A.: Determination of weight coefficients for additive fitness function of genetic algorithm. arXiv:2103.14833 (2021)
Dubey, R., Agrawal, J.: An improved genetic algorithm for automated convolutional neural network design. Intell. Autom. Soft Comput. 32, 747–763 (2022)
Heidary, E., et al.: Automatic text summarization using genetic algorithm and repetitive patterns. Comput. Mater. Continua 67, 1085–1101 (2021)
Acknowledgements
This work was supported in part by National Training Program of Innovation and Entrepreneurship for Undergraduates (202112034008), the Social Science Fund of Hunan Province (19YBA098), and the Research Fund of Hunan Provincial Key Laboratory of informationization technology for basic education (2015TP1017).
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Jin, H., Jiang, M., Chen, S., Jiang, Y., Liu, X., Gao, Z. (2022). A Comprehensive Utilization Model of Informationization Teaching Resources. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13339. Springer, Cham. https://doi.org/10.1007/978-3-031-06788-4_32
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