Accès libre

Research on the Integration and Optimization Strategy of Multimodal Learning Resources under the Online-Offline Fusion Teaching Mode

  
26 sept. 2025
À propos de cet article

Citez
Télécharger la couverture

Yiming, L., Liru, B., & Zhen, L. (2021, April). The Exploration of the Reform Path of Integrating Teaching and Competition in Financial Market Course Based on the Mixed Online-offline Teaching Mode. In 2021 2nd International Conference on Big Data and Informatization Education (ICBDIE) (pp. 479-482). IEEE. YimingL., LiruB. & ZhenL. (2021, April). The Exploration of the Reform Path of Integrating Teaching and Competition in Financial Market Course Based on the Mixed Online-offline Teaching Mode. In 2021 2nd International Conference on Big Data and Informatization Education (ICBDIE) (pp. 479-482). IEEE.Search in Google Scholar

Wu, H., & Li, H. (2024). Research on How to Construct a Dialogical Teaching Course under the Development of Online-Offline Integrated Teaching and Learning—The Intermediate Financial Accounting Course as an Example. Advances in Educational Technology and Psychology, 8(1), 200-209. WuH. & LiH. (2024). Research on How to Construct a Dialogical Teaching Course under the Development of Online-Offline Integrated Teaching and Learning—The Intermediate Financial Accounting Course as an Example. Advances in Educational Technology and Psychology, 8(1), 200-209.Search in Google Scholar

Bian, L. (2021). Integration of “Offline+ Online” Teaching Method of College English Based on Web Search Technology. Journal of web engineering, 20(4), 1207-1218. BianL. (2021). Integration of “Offline+ Online” Teaching Method of College English Based on Web Search Technology. Journal of web engineering, 20(4), 1207-1218.Search in Google Scholar

Huang, R., Tlili, A., Wang, H., Shi, Y., Bonk, C. J., Yang, J., & Burgos, D. (2021). Emergence of the online-merge-offline (OMO) learning wave in the post-COVID-19 era: a pilot study. Sustainability, 13(6), 3512. HuangR., TliliA., WangH., ShiY., BonkC. J., YangJ. & BurgosD. (2021). Emergence of the online-merge-offline (OMO) learning wave in the post-COVID-19 era: a pilot study. Sustainability, 13(6), 3512.Search in Google Scholar

Zeng, E. (2022). Application of conditional random field model based on machine learning in online and offline integrated educational resource recommendation. Mathematical Problems in Engineering, 2022(1), 5746671. ZengE. (2022). Application of conditional random field model based on machine learning in online and offline integrated educational resource recommendation. Mathematical Problems in Engineering, 2022(1), 5746671.Search in Google Scholar

Xiang, M. (2023). Exploring the Reform Strategy Analysis of Integrating Online and Offline Teaching in University Mathematics Courses. International Journal of Mathematics and Systems Science, 6(4). XiangM. (2023). Exploring the Reform Strategy Analysis of Integrating Online and Offline Teaching in University Mathematics Courses. International Journal of Mathematics and Systems Science, 6(4).Search in Google Scholar

Gao, J., & Huang, Y. (2022, July). Optimization and Recommendation Method of Distance Education Resources Based on Particle Swarm Optimization Algorithm. In International Conference on E-Learning, E-Education, and Online Training (pp. 334-346). Cham: Springer Nature Switzerland. GaoJ. & HuangY. (2022, July). Optimization and Recommendation Method of Distance Education Resources Based on Particle Swarm Optimization Algorithm. In International Conference on E-Learning, E-Education, and Online Training (pp. 334-346). Cham: Springer Nature Switzerland.Search in Google Scholar

Luo, G. (2021). Integration and optimization of college English teaching information resources in the context of big data. In The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2020, Volume 1 (pp. 264-270). Springer International Publishing. LuoG. (2021). Integration and optimization of college English teaching information resources in the context of big data. In The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2020, Volume 1 (pp. 264-270). Springer International Publishing.Search in Google Scholar

dos Santos, W. O. M., Neto, A. F. M., Rodrigues, I. N., de Oliveira Barbosa, H. P., da Silva Pinheiro, F. R., Almeida, B. B., ... & de Aguiar Brandão, E. S. (2017). OPTIMIZATION OF COMPLEX DIGITAL EDUCATIONAL RESOURCES. In ICERI2017 Proceedings (pp. 4035-4040). IATED. dos SantosW. O. M., NetoA. F. M., RodriguesI. N., de Oliveira BarbosaH. P., da Silva PinheiroF. R., AlmeidaB. B. ... & de Aguiar BrandãoE. S. (2017). OPTIMIZATION OF COMPLEX DIGITAL EDUCATIONAL RESOURCES. In ICERI2017 Proceedings (pp. 4035-4040). IATED.Search in Google Scholar

Lucas, R. I. G., Aviso, K. B., Promentilla, M. A. B., Čuček, L., Isafiade, A. J., Lee, J. Y., & Tan, R. R. (2019). Comparing Learning Strategies in Understanding Process Integration, Optimization and Sustainability. CET Journal-Chemical Engineering Transactions, 76. LucasR. I. G., AvisoK. B., PromentillaM. A. B., ČučekL., IsafiadeA. J., LeeJ. Y. & TanR. R. (2019). Comparing Learning Strategies in Understanding Process Integration, Optimization and Sustainability. CET Journal-Chemical Engineering Transactions, 76.Search in Google Scholar

Yajun, W., & Liang, Z. (2022). Optimization Algorithm for Multipath Transmission of Distance Education Resources Using Reinforcement Learning. Mobile Information Systems, 2022(1), 7152417. YajunW. & LiangZ. (2022). Optimization Algorithm for Multipath Transmission of Distance Education Resources Using Reinforcement Learning. Mobile Information Systems, 2022(1), 7152417.Search in Google Scholar

Liu, N., Li, Y., & Guo, Y. (2024). Optimization of Online Learning Resource Adaptation in Higher Education through Neural Network Approaches. International Journal of Interactive Mobile Technologies, 18(11). LiuN., LiY. & GuoY. (2024). Optimization of Online Learning Resource Adaptation in Higher Education through Neural Network Approaches. International Journal of Interactive Mobile Technologies, 18(11).Search in Google Scholar

Li, M. S., & Yun, L. J. (2021). Optimization and integration of network teaching resources of ideological and political course based on big data. In e-Learning, e-Education, and Online Training: 7th EAI International Conference, eLEOT 2021, Xinxiang, China, June 20-21, 2021, Proceedings Part II 7 (pp. 303-312). Springer International Publishing. LiM. S. & YunL. J. (2021). Optimization and integration of network teaching resources of ideological and political course based on big data. In e-Learning, e-Education, and Online Training: 7th EAI International Conference, eLEOT 2021, Xinxiang, China, June 20-21, 2021, Proceedings Part II 7 (pp. 303-312). Springer International Publishing.Search in Google Scholar

Han, X. (2024). Integration and Optimization of Teaching Resources for Electronics and Communications Courses in Higher Vocational Education. Transactions on Comparative Education, 6(3), 157-163. HanX. (2024). Integration and Optimization of Teaching Resources for Electronics and Communications Courses in Higher Vocational Education. Transactions on Comparative Education, 6(3), 157-163.Search in Google Scholar

Hou, H., & Zhou, S. (2022). Integration and Optimization of Multimedia Network-Assisted English Teaching Resources Based on Association Rule Algorithm. Mobile Information Systems, 2022(1), 3565891. HouH. & ZhouS. (2022). Integration and Optimization of Multimedia Network-Assisted English Teaching Resources Based on Association Rule Algorithm. Mobile Information Systems, 2022(1), 3565891.Search in Google Scholar

Zhao, X. (2024). Optimization of teaching methods and allocation of learning resources under the background of big data. Journal of Computational Methods in Sciences and Engineering, 24(2), 1025-1040. ZhaoX. (2024). Optimization of teaching methods and allocation of learning resources under the background of big data. Journal of Computational Methods in Sciences and Engineering, 24(2), 1025-1040.Search in Google Scholar

Zhao, M., & Wang, L. (2022). Research on the Optimization and Allocation Management of Teaching Resources for English Teaching. Wireless Communications and Mobile Computing, 2022(1), 1182197. ZhaoM. & WangL. (2022). Research on the Optimization and Allocation Management of Teaching Resources for English Teaching. Wireless Communications and Mobile Computing, 2022(1), 1182197.Search in Google Scholar

Roberta Linder & Francine Falk Ross. (2024). Multimodal Resources and Approaches for Teaching Young Adolescents: A Review of the Literature. Education Sciences(9), 1010-1010. LinderRoberta & RossFrancine Falk. (2024). Multimodal Resources and Approaches for Teaching Young Adolescents: A Review of the Literature. Education Sciences(9), 1010-1010.Search in Google Scholar

Yanmin Niu, Ran Lin & Han Xue. (2023). Research on Learning Resource Recommendation Based on Knowledge Graph and Collaborative Filtering. Applied Sciences(19). Yanmin NiuRan Lin & XueHan. (2023). Research on Learning Resource Recommendation Based on Knowledge Graph and Collaborative Filtering. Applied Sciences(19).Search in Google Scholar

Huang Meng & Wei Ting. (2024). GTFN: Knowledge Tracing Model Based on Graph Temporal Fusion Networks. International Journal of Data Warehousing and Mining (IJDWM)(1), 1-17. MengHuang & TingWei. (2024). GTFN: Knowledge Tracing Model Based on Graph Temporal Fusion Networks. International Journal of Data Warehousing and Mining (IJDWM)(1), 1-17.Search in Google Scholar

Ji Li, Simiao Yu & Tiancheng Zhang. (2024). Learning Path Recommendation Based on Reinforcement Learning. Engineering Letters(9). Ji LiSimiao Yu & ZhangTiancheng. (2024). Learning Path Recommendation Based on Reinforcement Learning. Engineering Letters(9).Search in Google Scholar