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Research on Network Resources Integration of University English Blended Learning Model Based on Multi-Objective Optimization

  
Mar 21, 2025

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Yang, C. (2018). Research on the mixed teaching mode of TPACK in software testing course. Recent Patents on Computer Science, 11(4), 302-311. YangC. (2018). Research on the mixed teaching mode of TPACK in software testing course. Recent Patents on Computer Science, 11(4), 302-311.Search in Google Scholar

Zheng, Y. (2023). The Application of the New Era Mixed Teaching Mode in the Practical Teaching of Ideological and Political Courses in Colleges and Universities. Curriculum and Teaching Methodology, 6(13), 1-6. ZhengY. (2023). The Application of the New Era Mixed Teaching Mode in the Practical Teaching of Ideological and Political Courses in Colleges and Universities. Curriculum and Teaching Methodology, 6(13), 1-6.Search in Google Scholar

He, F. (2020, April). Application research of mixed teaching mode based on Wechat applet. In Journal of Physics: Conference Series (Vol. 1486, No. 3, p. 032006). IOP Publishing. HeF. (2020, April). Application research of mixed teaching mode based on Wechat applet. In Journal of Physics: Conference Series (Vol. 1486, No. 3, p. 032006). IOP Publishing.Search in Google Scholar

Fresen, J. W. (2020). Embracing distance education in a blended learning model: Challenges and prospects. Exploring Dual and Mixed Mode Provision of Distance Education, 108-124. FresenJ. W. (2020). Embracing distance education in a blended learning model: Challenges and prospects. Exploring Dual and Mixed Mode Provision of Distance Education, 108-124.Search in Google Scholar

Park, H., & Shea, P. (2020). A Review of Ten-Year Research through Co-citation Analysis: Online Learning, Distance Learning, and Blended Learning. Online Learning, 24(2), 225-244. ParkH. & SheaP. (2020). A Review of Ten-Year Research through Co-citation Analysis: Online Learning, Distance Learning, and Blended Learning. Online Learning, 24(2), 225-244.Search in Google Scholar

Luo, R., Wang, J., & Wang, Y. (2023). Undergraduate students’ perceptions of using videoconferencing for EFL learning: Evidence from Tencent Meeting application. Heliyon, 9(12). LuoR.WangJ. & WangY. (2023). Undergraduate students’ perceptions of using videoconferencing for EFL learning: Evidence from Tencent Meeting application. Heliyon, 9(12).Search in Google Scholar

Hockly, N. (2018). Blended learning. Elt Journal, 72(1), 97-101. HocklyN. (2018). Blended learning. Elt Journal, 72(1), 97-101.Search in Google Scholar

Dakhi, O., JAMA, J., & IRFAN, D. (2020). Blended learning: a 21st century learning model at college. International Journal Of Multi Science, 1(08), 50-65. DakhiO.JAMAJ. & IRFAND. (2020). Blended learning: a 21st century learning model at college. International Journal Of Multi Science, 1(08), 50-65.Search in Google Scholar

Sari, I. K. (2021). Blended learning sebagai alternatif model pembelajaran inovatif di masa post-pandemi di sekolah dasar. Jurnal Basicedu, 5(4), 2156-2163. SariI. K. (2021). Blended learning sebagai alternatif model pembelajaran inovatif di masa post-pandemi di sekolah dasar. Jurnal Basicedu, 5(4), 2156-2163.Search in Google Scholar

Wright, B. M. (2017). Blended learning: Student perception of face-to-face and online EFL lessons. Indonesian journal of applied linguistics, 7(1). WrightB. M. (2017). Blended learning: Student perception of face-to-face and online EFL lessons. Indonesian journal of applied linguistics, 7(1).Search in Google Scholar

Albiladi, W. S., & Alshareef, K. K. (2019). Blended learning in English teaching and learning: A review of the current literature. Journal of Language Teaching and Research, 10(2), 232-238. AlbiladiW. S. & AlshareefK. K. (2019). Blended learning in English teaching and learning: A review of the current literature. Journal of Language Teaching and Research, 10(2), 232-238.Search in Google Scholar

Meng, X., Niu, D., Ding, L., & Wang, L. (2024). Research on the effect of mixed teaching strategies on students’ ambidextrous innovation. Studies in Educational Evaluation, 83, 101390. MengX.NiuD.DingL. & WangL. (2024). Research on the effect of mixed teaching strategies on students’ ambidextrous innovation. Studies in Educational Evaluation, 83, 101390.Search in Google Scholar

Rafiola, R., Setyosari, P., Radjah, C., & Ramli, M. (2020). The effect of learning motivation, self-efficacy, and blended learning on students’ achievement in the industrial revolution 4.0. International Journal of Emerging Technologies in Learning (iJET), 15(8), 71-82. RafiolaR.SetyosariP.RadjahC. & RamliM. (2020). The effect of learning motivation, self-efficacy, and blended learning on students’ achievement in the industrial revolution 4.0. International Journal of Emerging Technologies in Learning (iJET), 15(8), 71-82.Search in Google Scholar

AlKhaleel, A. (2019). The advantages of using blended learning in studying English as a foreign language at the University of Tabuk. Modern Journal of Language Teaching Methods (MJLTM), 9(2), 1-7. AlKhaleelA. (2019). The advantages of using blended learning in studying English as a foreign language at the University of Tabuk. Modern Journal of Language Teaching Methods (MJLTM), 9(2), 1-7.Search in Google Scholar

Anthony, B., Kamaludin, A., Romli, A., Raffei, A. F. M., Nincarean A/L Eh Phon, D., Abdullah, A., ... & Baba, S. (2019). Exploring the role of blended learning for teaching and learning effectiveness in institutions of higher learning: An empirical investigation. Education and Information Technologies, 24, 3433-3466. AnthonyB.KamaludinA.RomliA.RaffeiA. F. M.Nincarean A/L Eh PhonD.AbdullahA., ... & BabaS. (2019). Exploring the role of blended learning for teaching and learning effectiveness in institutions of higher learning: An empirical investigation. Education and Information Technologies, 24, 3433-3466.Search in Google Scholar

Xu, Y., Gui, G., Gacanin, H., & Adachi, F. (2021). A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges. IEEE Communications Surveys & Tutorials, 23(2), 668-695. XuY.GuiG.GacaninH. & AdachiF. (2021). A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges. IEEE Communications Surveys & Tutorials, 23(2), 668-695.Search in Google Scholar

Chen, T., Ling, Q., & Giannakis, G. B. (2017). An online convex optimization approach to proactive network resource allocation. IEEE Transactions on Signal Processing, 65(24), 6350-6364. ChenT.LingQ. & GiannakisG. B. (2017). An online convex optimization approach to proactive network resource allocation. IEEE Transactions on Signal Processing, 65(24), 6350-6364.Search in Google Scholar

Sharma, S., & Kumar, V. (2022). A comprehensive review on multi-objective optimization techniques: Past, present and future. Archives of Computational Methods in Engineering, 29(7), 5605-5633. SharmaS. & KumarV. (2022). A comprehensive review on multi-objective optimization techniques: Past, present and future. Archives of Computational Methods in Engineering, 29(7), 5605-5633.Search in Google Scholar

Sener, O., & Koltun, V. (2018). Multi-task learning as multi-objective optimization. Advances in neural information processing systems, 31. SenerO. & KoltunV. (2018). Multi-task learning as multi-objective optimization. Advances in neural information processing systems, 31.Search in Google Scholar

Pereira, J. L. J., Oliver, G. A., Francisco, M. B., Cunha Jr, S. S., & Gomes, G. F. (2022). A review of multi-objective optimization: methods and algorithms in mechanical engineering problems. Archives of Computational Methods in Engineering, 29(4), 2285-2308. PereiraJ. L. J.OliverG. A.FranciscoM. B.Cunha JrS. S. & GomesG. F. (2022). A review of multi-objective optimization: methods and algorithms in mechanical engineering problems. Archives of Computational Methods in Engineering, 29(4), 2285-2308.Search in Google Scholar

Gunantara, N. (2018). A review of multi-objective optimization: Methods and its applications. Cogent Engineering, 5(1), 1502242. GunantaraN. (2018). A review of multi-objective optimization: Methods and its applications. Cogent Engineering, 5(1), 1502242.Search in Google Scholar

Devendra Pendokhare & Shankar Chakraborty. (2024). A Review on Multi-objective Optimization Techniques of Wire Electrical Discharge Machining. Archives of Computational Methods in Engineering (prepublish),1-43. PendokhareDevendra & ChakrabortyShankar. (2024). A Review on Multi-objective Optimization Techniques of Wire Electrical Discharge Machining. Archives of Computational Methods in Engineering (prepublish),1-43.Search in Google Scholar

Mohsen Shojaee,Siamak Noori,Samrad Jafarian Namin,Arne Johannssen & Hasan Rasay. (2024). Assessing the economic-statistical performance of an attribute SVSSI-np control chart based on genetic algorithms. Computers & Industrial Engineering110401-110401. ShojaeeMohsenNooriSiamakNaminSamrad JafarianJohannssenArne & RasayHasan. (2024). Assessing the economic-statistical performance of an attribute SVSSI-np control chart based on genetic algorithms. Computers & Industrial Engineering110401-110401.Search in Google Scholar

Pramod Pandurang Jadhav,Sandeep Dwarkanath Pande,Rahul Joshi,Sudhanshu Gonge,Maya P. Shelke,Pravin Futane & S. K. Hasane Ahammad. (2024). CSADF: ingesting cuckoo search optimization algorithm enabled with fitness function for effective model transformation pertaining to ADF. Multimedia Tools and Applications(33),79219-79234. JadhavPramod PandurangPandeSandeep DwarkanathJoshiRahulGongeSudhanshuShelkeMaya P.FutanePravin & AhammadS. K. Hasane. (2024). CSADF: ingesting cuckoo search optimization algorithm enabled with fitness function for effective model transformation pertaining to ADF. Multimedia Tools and Applications(33),79219-79234.Search in Google Scholar

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