Construction of a Multi-dimensional Evaluation Platform for College English Writing Based on Big Data
- DOI
- 10.2991/978-94-6463-034-3_130How to use a DOI?
- Keywords
- college English writing; multi-dimensional evaluation system; big data technology
- Abstract
With the development of modern data information technology, it has been widely used in various industries and many fields of the whole society. Education informationization, as the focus of China's current education reform, has been gradually carried out throughout the country. And multidimensional evaluation platform for college English writing based on big data is the data information technology combined with the practical teaching, a new way to platform can improve the quality of evaluation of English writing, improve students’ English writing ability and interest in learning, can also promote the combination of college English teaching and knowledge application practice, to achieve “by writing to learn, to learn to write in combination with” purpose. Relying on the multi-dimensional evaluation platform of English writing can cultivate students’ ability of independent learning and consciousness of lifelong learning.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jinying Xu PY - 2022 DA - 2022/12/23 TI - Construction of a Multi-dimensional Evaluation Platform for College English Writing Based on Big Data BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 1257 EP - 1265 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_130 DO - 10.2991/978-94-6463-034-3_130 ID - Xu2022 ER -