The Implementation Strategies for Effective Learning in Network Distance Education
DOI:
https://doi.org/10.6918/IJOSSER.202411_7(11).0038Keywords:
Network Distance Education; Effective Learning; Implementation Strategy.Abstract
With the rapid development of information technology, network distance education is widely used in online courses, online teaching platforms, video teaching, cloud technology and other fields. Due to its characteristics of autonomy, flexibility, openness, resource sharing and multimedia, it breaks the time and space limitations of traditional teaching, and can also focus on learners to carry out various learning methods such as blended learning, interactive and collaborative learning, task driven learning, etc. online, greatly improving learning efficiency, promoting educational equity, and helping to build a lifelong education system. However, there are also four significant issues with network distance education: firstly, teachers and students are in a quasi permanent separation state; Secondly, teachers and students are not in the same teaching space; Thirdly, teachers and students are not synchronized in terms of time nodes; Fourthly, the timeliness of teacher-student interaction is poor. Based on this, this article combines the application of network distance education and proposes effective learning strategies for network distance education from four aspects: cultivating learners' autonomous learning ability, optimizing the functions of network distance education platforms, strengthening teacher-student interaction and cooperation, and enhancing learning motivation. The aim is to provide theoretical support and practical guidance for the development of network distance education, to meet the challenges of modern education, and to promote the improvement of educational quality.
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References
[1] Wen Qinghong. Insights from network distance education in the UK [J]. Adult Education, 2021, 41 (03): 18-25.
[2] Wang Ling. Analysis of the Quality Assurance Mechanism of Online Education in American Universities [J]. Journal of Jinan University (Social Sciences Edition), 2024, 34 (02): 134-141.
[3] Le Chuanyong, Ye Changsheng. The Centennial Evolution and Prospect of Distance Education Research in China [J]. Distance Education Journal, 2023, 41 (05): 3-15.
[4] Nan Zheng. Factors Influencing Adult Autonomous Learning in Distance Education Environment [J]. Journal of Henan Radio and Television University, 2019, 32 (02): 21-24.
[5] Chen Mingyang. Research on Improving the Quality of network distance education in Colleges and Universities under the New Education Model [J]. Science and Education Guide, 2023, (02): 11-13.
[6] Furkan Altunay. Opinions of Social Studies Teachers on Distance Education[J]. International Journal of Education and Literacy Studies, 2022, 10 (2): 31-40.
[7] Xu Jiaxue. Exploration of the Impact of network distance education on College Students [J]. Strait Technology and Industry, 2020, (07): 53-55.
[8] Wang Nan, Lu Wenjing. Discussion on the Problems and Countermeasures of Online Distance Continuing Education [J]. Think Tank Times, 2018, (27): 194+197.
[9] Wang Luyao. Problems and Countermeasures of Distance Education in Colleges and Universities [J]. Western Quality Education, 2018,4 (05): 15+27.
[10] Zhang Runhua, Yang Ming. Analysis of Problems and Countermeasures in network distance education [J]. Electronic World, 2014, (12): 311.
[11] Dong Qi. Construction of Personalized Online Learning Mode in Smart Education Environment [J]. Journal of Social Sciences, Jiamusi University, 2024, 42 (02): 138-141.
[12] Qi Qingfang. Research on Learning Mode Based on Mobile Internet Environment [J]. Computer Knowledge and Technology, 2024, 20 (12): 90-92.
[13] Chen Ziyang. Research on Learning Mode Based on Mobile Internet Environment [J]. Journal of Henan Finance and Taxation College, 2023, 37 (01): 80-83.
[14] Zhu Yilin, Feng Gang. Research on the Characteristics of University Campus Learning Environment Guided by Autonomous Learning Mode [J]. Architecture and Technology, 2024, 30 (04): 70-75.
[15] Fang Jiangyi, Wang Xiaochen. Research on Personalized Learning Mode of Distance Education Based on Big Data [J]. Journal of Shanxi Open University, 2024, 29 (01): 52-55.
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