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Innovation of educational management paths in higher education based on LSTM deep learning model

  
04 nov 2023
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Liu, X., Zhang, X., Chen, W. W., & Yuan, S. M. (2020). Eye movement analysis of digital learning content for educational innovation. Sustainability, 12(6), 2518. Search in Google Scholar

Zhang, F., & She, M. (2021). Design of english reading and learning management system in college education based on artificial intelligence. Journal of Intelligent and Fuzzy Systems(2), 1-10. Search in Google Scholar

Dong, C., & Guo, Y. (2021). Improved differentiation classification of variable precision artificial intelligence higher education management. Journal of Intelligent and Fuzzy Systems(3), 1-10. Search in Google Scholar

Sue, B., Lori, L., & Shirley, A. (2018). Towards sustainable technology-enhanced innovation in higher education: advancing learning design by understanding and supporting teacher design practice. British Journal of Educational Technology. Search in Google Scholar

Silvia Monteiro, Isusi-Fagoaga, R., Almeida, L., & Adela Garcia-Aracil. (2021). Contribution of higher education institutions to social innovation: practices in two southern european universities. Sustainability 13. Search in Google Scholar

Rof, A., Bikfalvi, A., & Pilar Marquès. (2020). Digital transformation for business model innovation in higher education: overcoming the tensions. Sustainability, 12. Search in Google Scholar

Butler, Keith, T., Davies, Daniel, & W., et al. (2018). Machine learning for molecular and materials science. Nature. Search in Google Scholar

Caleb, Robinson, Bistra, Dilkina, Jeffrey, & Hubbs, et al. (2017). Machine learning approaches for estimating commercial building energy consumption. Applied Energy. Search in Google Scholar

Francisco, H. L., Mingorance-Estrada ángel, Juan, T. T., Aznar-Díaz Inmaculada, & Cáceres Reche María. (2018). Incidence of the flipped classroom in the physical education students’ academic performance in university contexts. Sustainability, 10(5), 1334. Search in Google Scholar

Arunthavanathan, R., Khan, F., Ahmed, S., & Imtiaz, S. (2022). Autonomous fault diagnosis and root cause analysis for the processing system using one-class svm and nn permutation algorithm. Industrial & Engineering Chemistry Research(3), 61. Search in Google Scholar

Héctor Javier Fuentes López, & Bravo, L. E. C. (2020). A systematic review of techniques and classical machine learning factors used to predict academic performance. Sylwan, 164(7). Search in Google Scholar

Noroozi, O., Jrvel, S., & Kirschner, P. A. (2019). Multidisciplinary innovations and technologies for facilitation of self-regulated learning. Computers in Human Behavior, 100, 295-297. Search in Google Scholar

Denisov, I., Petrenko, Y., Koretskaya, I., & Beni, S. (2021). The gameover in universities education management during the pandemic covid-19: challenges to sustainable development in a digitalized environment. Sustainability, 13. Search in Google Scholar

Cavus, N., Mohammed, Y. B., & Yakubu, M. N. (2021). Determinants of learning management systems during covid-19 pandemic for sustainable education. Sustainability, 13(9), 5189. Search in Google Scholar

Suanj, Z., Jakopec, A., & Ori, A. (2020). Academics’ effectiveness and professional development in croatia: challenges for human resource management in higher education institutions. European Journal of Education, 55(4). Search in Google Scholar

Kariapper, R., Samsudeen, S. N., & Fathima, S. M. B. (2020). Quantifying the impact of online educational system in teaching and learning environment among the teachers and students.Solid State Technology,63(6), 12118-12132. Search in Google Scholar

Okada, A., Whitelock, D., Holmes, W., & Edwards, C. (2018). E-authentication for online assessment: a mixed-method study. British Journal of Educational Technology. Search in Google Scholar

Noroozi, O., Jrvel, S., & Kirschner, P. A. (2019). Multidisciplinary innovations and technologies for facilitation of self-regulated learning. Computers in Human Behavior, 100, 295-297. Search in Google Scholar

Li, X., Dong, Y., Jiang, Y., & Ogunmola, G. A. (2022). Analysis of the teaching quality of college ideological and political education based on deep learning. Journal of Interconnection Networks, 22(Supp02). Search in Google Scholar

Schneider, M. (2020). The discovery of the gini coefficient. History of Political Economy(1), 115-141. Search in Google Scholar

Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro