Effect Evaluation of Organic Chemistry Teaching Based on Box-Behnken Model
- DOI
- 10.2991/978-94-6463-024-4_121How to use a DOI?
- Keywords
- Organic chemistry; teaching effect; response surface method; information teaching
- Abstract
Online and offline hybrid teaching is an important teaching means in the current reform of organic chemistry, and the comprehensive evaluation of the effect of information teaching is the basis of scientific and condensed curriculum reform results. On the basis of the single factor experiment, this paper adopted the response surface optimization method to investigate the proportion of information teaching, value of domestic demand of learning and value of influence of learning environment, the influence of those factors on the academic level of organic chemistry. The results showed that the conditions to achieve the best academic level of organic chemistry were: the proportion of information teaching for 0.5, value of domestic demand of learning 73, and value of influence of learning environment 52. Under the optimal conditions, the average academic of organic chemistry was 82.211.
- 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 - Ali Tao AU - Xuehua Feng AU - Zurong Song AU - Ying Zhao AU - Panpan Gong AU - Yadong Wu PY - 2022 DA - 2022/12/12 TI - Effect Evaluation of Organic Chemistry Teaching Based on Box-Behnken Model BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 1176 EP - 1184 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_121 DO - 10.2991/978-94-6463-024-4_121 ID - Tao2022 ER -