Knowledge Graph Construction and Personalised Learning Path Generation Mechanism for Online English Teaching and Learning

[1]Asif, N., & Panakaje, N. (2022). PARADIGM SHIFT-the role of educational technology and internet in Indian education system. International Journal of Case Studies in Business, IT, and Education (IJCSBE), ISSN, 2581-6942.Search in Google Scholar

[2]Pikhart, M., Klimova, B., Cierniak-Emerych, A., & Dziuba, S. (2023). A comparative analysis of perceived advantages and disadvantages of online learning. Behavioral Sciences, 13(3), 262.Search in Google Scholar

[3]Mrak, M., Belčić, S., Jurišić, N., Čaljkušić-Mance, T., & Mavrinac, M. (2023). STUDENTS’ SATISFACTION, ADVANTAGES AND DISADVANTAGES OF HYBRID AND ONLINE TEACHING DURING COVID-19 PANDEMIC. Lijecnicki Vjesnik, 145.Search in Google Scholar

[4]Sun, A., & Chen, X. (2016). Online education and its effective practice: A research review. Journal of information technology education: Research, 15.Search in Google Scholar

[5]Kurucova, Z., Medová, J., & Tirpakova, A. (2018). The effect of different online education modes on the English language learning of media studies students. Cogent Education, 5(1), 1523514.Search in Google Scholar

[6]Rakhmanina, L., Martina, F., Halolo, F. B., Syafryadin, S., & Noermanzah, N. (2020). Students’ perception on online English learning during COVID-19 pandemic era. Silampari Bisa: Jurnal Penelitian Pendidikan Bahasa Indonesia, Daerah, Dan Asing, 3(2), 428-439.Search in Google Scholar

[7]Singh, V., & Thurman, A. (2019). How many ways can we define online learning? A systematic literature review of definitions of online learning (1988-2018). American Journal of Distance Education, 33(4), 289-306.Search in Google Scholar

[8]Zhang, H. (2022). Recommendation Method of Online Teaching Resources in Colleges and Universities Considering Different User Preference Factors. Wireless Communications and Mobile Computing, 2022(1), 7276495.Search in Google Scholar

[9]Balaid, A., Abd Rozan, M. Z., Hikmi, S. N., & Memon, J. (2016). Knowledge maps: A systematic literature review and directions for future research. International journal of information management, 36(3), 451-475.Search in Google Scholar

[10]Zhang, J., Song, L., Xu, L., Fan, Y., Wang, T., Tian, W., ... & Xu, H. (2021). Knowledge domain and emerging trends in ferroptosis research: a bibliometric and knowledge-map analysis. Frontiers in Oncology, 11, 686726.Search in Google Scholar

[11]Corea, F., & Corea, F. (2019). AI knowledge map: How to classify AI technologies. An introduction to data: Everything you need to know about AI, big data and data science, 25-29.Search in Google Scholar

[12]Zhu, H., Tian, F., Wu, K., Shah, N., Chen, Y., Ni, Y., ... & Zheng, Q. (2018). A multi-constraint learning path recommendation algorithm based on knowledge map. Knowledge-Based Systems, 143, 102-114.Search in Google Scholar

[13]Deng, Y. (2019). Construction of higher education knowledge map in university libraries based on MOOC. The Electronic Library, 37(5), 811-829.Search in Google Scholar

[14]Chen, W., Shen, Z., Pan, Y., Tan, K., & Wang, C. (2024). Applying Machine Learning Algorithm to Optimize Personalized Education Recommendation System. Journal of Theory and Practice of Engineering Science, 4(01), 101-108.Search in Google Scholar

[15]Hu, L., Song, G., Xie, Z., & Zhao, K. (2014). Personalized recommendation algorithm based on preference features. Tsinghua Science and Technology, 19(3), 293-299.Search in Google Scholar

[16]Xiao, J., Wang, M., Jiang, B., & Li, J. (2018). A personalized recommendation system with combinational algorithm for online learning. Journal of ambient intelligence and humanized computing, 9, 667-677.Search in Google Scholar

[17]Sun, Y., Liang, J., & Niu, P. (2021, July). Personalized recommendation of english learning based on knowledge graph and graph convolutional network. In International Conference on Artificial Intelligence and Security (pp. 157-166). Cham: Springer International Publishing.Search in Google Scholar

[18]Huang, Y., & Zhu, J. (2021). A personalized English learning material recommendation system based on knowledge graph. International Journal of Emerging Technologies in Learning (Online), 16(11), 160.Search in Google Scholar

[19]Deng, L. (2023). A Study on Distance Personalized English Teaching Based on Deep Directed Graph Knowledge Tracking Model. International Journal of Advanced Computer Science and Applications, 14(2).Search in Google Scholar

[20]Abu-Salih, B., & Alotaibi, S. (2024). A systematic literature review of knowledge graph construction and application in education. Heliyon.Search in Google Scholar

[21]Liu, X. (2024). Construction of a Personalized Recommendation Service Model for Online Learning Resources. Advances in Computer, Signals and Systems, 8(4), 128-137.Search in Google Scholar

[22]Chen, P., Lu, Y., Zheng, V. W., Chen, X., & Li, X. (2018, June). An automatic knowledge graph construction system for K-12 education. In Proceedings of the fifth annual ACM conference on learning at scale (pp. 1-4).Search in Google Scholar

[23]Wu, Z., & Jia, F. (2022). Construction and application of a major-specific knowledge graph based on big data in education. International Journal of Emerging Technologies in Learning (iJET), 17(7), 64-79.Search in Google Scholar

[24]Niu, X. (2024). Foreign Language Teaching Resources Recommendation Approach Based on Knowledge Map. In Intelligent Computing Technology and Automation (pp. 732-739). IOS Press.Search in Google Scholar

[25]Zhanyue Cao & Chao Luo. (2025). Link prediction for knowledge graphs based on extended relational graph attention networks. Expert Systems With Applications125260-125260.Search in Google Scholar

[26]Peiyang Wei,Mingsheng Shang,Jiesan Zhou & Xiaoyu Shi. (2024). Efficient adaptive learning rate for convolutional neural network based on quadratic interpolation egret swarm optimization algorithm. Heliyon(18),e37814-e37814.Search in Google Scholar

[27]Mei Qin Chen. (2024). Eigenpairs of adjacency matrices of balanced signed graphs. Special Matrices(1).Search in Google Scholar

[28]Mohammad Reza Mohammadi,Mohammad Sadegh Ghazizadeh & Mohammad Abedini. (2024). The efficacy of a cellular approach to resilience-oriented operation of distribution grids based on eigenvectors of the Laplacian matrix. ISA transactions.Search in Google Scholar

[29]Ke Zhang & Yiqing Shen. (2024). Interface capturing schemes based on sigmoid functions. Computers and Fluids106352-106352.Search in Google Scholar