With the rapid development of network technology and multimedia technology, especially in the special environment of 2020, online learning has become one of the main learning methods under the digital learning environment. At the same time, in the process of constructing digital learning resources, online learners are prone to new problems such as loss of focus and fluctuation of learning effect. How to fundamentally stimulate and maintain the learning interest of online learners in the process of constructing digital learning resources has become an urgent problem to be solved. Based on the problem-oriented approach and the comprehensive application of in-depth interview method and other research methods, this paper finds out four major problems affecting learning interest based on the in-depth analysis of the basic characteristics and learning status of online learning in the construction of digital learning resources. This paper analyzes the reasons and puts forward solutions from three aspects: scientific design and development of resources, active and effective incentive strategies, and rich resource construction paths, so as to provide useful references for stimulating and maintaining online learners’ interest in learning in the construction of digital learning resources.
Cite this paper
Yin, X. (2021). Stimulation and Maintenance in the Construction of Digital Learning Resources: A Study of Online Learners’ Learning Interests. Open Access Library Journal, 8, e7595. doi: http://dx.doi.org/10.4236/oalib.1107595.
Yang, D. (2016) Research on the Current Situation and Countermeasures of Residents’ Digital Learning from the Perspective of “Internet ”—Taking “Promoting Residents’ Digital Learning in Nanfeng Town” as an Example. Journal of Shandong Radio and TV University, No. 3, 17-19.
Song, Q.H. (2016) Research on the Construction of Regional Digital Lifelong Learning Platform in the Perspective of “Internet ”—Based on the Investigation and Analysis of the Construction of Digital Learning Platform in Shanghai. China Adult Education, No. 15, 10-12.
Cui, M., Mu, S. and Huang, X.D. (2020) Research on Online Learning Paths Based on Process Data and Analysis: Rules and Planning. Open Education Research, 26, 58-70.
Hu, J.P. (2020) “Internet ” Research on the Professional Development of College English Teachers in the Times—Based on the Perspective of Multi-Modal Teaching Model. Journal of Jiangxi Radio and Television University, 22, 60-65.
Li, T.T. (2020) Practice and Thinking of Online English Teaching in Higher Education Colleges during COVID-19 Epidemic Prevention and Control. Teaching in Forest Region, No. 6, 66-68.
Chen, G., Gao, T., Zhu, X., et al. (2017) Personalized Recommendation Based on Single Bidirectional Mass Diffusion. Physica A: Statistical Mechanics and Its Applications, 469, 397-404. https://doi.org/10.1016/j.physa.2016.11.091
Yang, C., Fan, Q., Wang, T., et al. (2019) RepoLike: A Multi-Feature Based Personalized Recommendation Approach for Open-Source Repositories. Frontiers of Information Technology & Electronic Engineering, 20, 86-101.
https://doi.org/10.1631/FITEE.1700196
Zhang, J., Zeng, X., Liu, K., et al. (2018) Jeans Knowledge Base Development Based on Sensory Evaluation Technology for Customers’ Personalized Recommendation. International Journal of Clothing Science and Technology, 30, 101-111.
https://doi.org/10.1108/IJCST-03-2017-0036
Hao, T. (2017) Personalized Service Recommendation Based on Trust Relationship. Scientific Programming, 2017, Article ID: 4106134.
https://doi.org/10.1155/2017/4106134