Affiliation:
1. School of Computer Science, Shenyang Aerospace University, Shenyang Liaoning, China
Abstract
There are different paradigms in educational technology. Under the background of big data era, data science, learning analysis and education have made great achievements. In the field of education under big data, all kinds of new paradigms are constantly emerging and have achieved very good results in actual education. In the era of education big data, how to fully tap the value of big data for online education practice, decision-making, evaluation and research, and how to avoid the risk of big data are important issues in the current education reform and development. This paper analyzes the application of the current scientific paradigm in education, constructs the construction paradigm of online education evaluation model, and puts forward a new education concept in order to promote the development of the new paradigm of big data online education technology research. Applying this paradigm, a series of educational evaluation models are constructed from the macro, miso and micro levels, which play a positive role in the research, decision-making, practice and evaluation of related fields.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference23 articles.
1. Research on model-driven quantitative prediction and evaluation of mineral resources based on geological big data concept[J];Yu;Geological Bulletin of China,2015
2. Big(ger) data as better data in open distance learning: some provocations and theses.[J];Prinsloo;International Review of Research in Open & Distributed Learning,2015
3. A New Problem-Solving Paradigm for Philosophy of Science[J];Hooker;Perspectives on Science,2018
4. Review and prospect of the emergency management of urban rainstorm waterlogging based on big data fusion[J];Xianhua;Chinese Science Bulletin,2017
5. Big data and data science: what should we teach?[J];Song;Expert Systems,2016
Cited by
29 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献