Research on Education Evaluation of Business English Talents Training in the New Era
- DOI
- 10.2991/assehr.k.210120.084How to use a DOI?
- Keywords
- business English, education evaluation, formative evaluation, value-added evaluation
- Abstract
In order to comprehensively reflect education quality and improve teaching effectiveness, this paper introduces comprehensive evaluation methods integrated by formative evaluation, summative evaluation and value-added evaluation into the education evaluation of Business English talents training. A multidimensional education evaluation system is established and weights of indexes are set according to the characteristics of Business English major; students’ learning process is tracked and recorded on online teaching platform, and a value-added evaluation database is created by employing big data technology. In teaching practice, the evaluation system comprehensively shows students’ mastery knowledge in 6 aspects, their efforts and improvements. It is also found that students have improved a lot in 5 aspects in the new model, through the value-added evaluation, it is found that the students’ performance improvement is 8.9% higher than the class average score improvement. Applying the proposed comprehensive evaluation system in Business English talents training not only can comprehensively assess the teaching effectiveness, but also provide students with personalized guidance and stimulate their learning motivation and interests.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaomei Wang PY - 2021 DA - 2021/01/20 TI - Research on Education Evaluation of Business English Talents Training in the New Era BT - Proceedings of the 2020 3rd International Seminar on Education Research and Social Science (ISERSS 2020) PB - Atlantis Press SP - 455 EP - 460 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210120.084 DO - 10.2991/assehr.k.210120.084 ID - Wang2021 ER -