doi: 10.18178/ijiet.2024.14.12.2204
Evaluation and Optimization of Blended Teaching Mode in Higher Vocational Colleges: A Comparative Study of CIPP Model and Artificial Neural Network Evaluation Model
Dingfu Luo1,2
,
Myungsoo Kim3 ,
Haijun Qian4 ,
Zhuolai Liang5,*
- 1Department of Computers, Guangdong Songshan Polytechnic College, Shaoguan, China
- 2Department of Computer and Information Engineering, Youngsan University, Yangsan-si, Republic of Korea
- 3Department of Mechanical and Automotive Engineering, Youngsan University, Yangsan-si, Republic of Korea
- 4Adult Continuing Education Department, Zhu Hai City Polytechnic, Zhuhai, China
- 5Ouyeel Industrial Products Co.,Ltd, Shaoguan, China
- Manuscript receivedAugust 7, 2024
- revisedAugust 28, 2024
- acceptedOctober 9, 2024
- publishedDecember 13, 2024
Abstract
To scientifically evaluate and optimize the blended teaching model in vocational colleges, this article integrates the Context, Input, Process, Product (CIPP) model and the Artificial Neural Network (ANN) model to conduct an empirical study on students majoring in Information Management at a vocational college. The study collected and analyzed various indicators, including student engagement, academic performance, and teacher-student interactions, using methods such as surveys and platform data analysis. The results demonstrated that the blended teaching model significantly enhanced student engagement and learning outcomes while also exhibiting excellent resource utilization efficiency. The CIPP model provides a comprehensive evaluation of the teaching model from a macro perspective, while the ANN model, through deep learning algorithms, offers more precise predictions and assessments of its effectiveness. This study provides scientific evidence for optimizing the blended teaching model in vocational colleges and offers important guidance for improving educational quality and resource allocation efficiency.
Keywords
- higher vocational colleges
- blended teaching mode
- teaching evaluation
How to Cite
Dingfu Luo, Myungsoo Kim, Haijun Qian, and Zhuolai Liang, "Evaluation and Optimization of Blended Teaching Mode in Higher Vocational Colleges: A Comparative Study of CIPP Model and Artificial Neural Network Evaluation Model," International Journal of Information and Education Technology, vol. 14, no. 12, pp. 1734-1742, 2024. https://doi.org/10.18178/ijiet.2024.14.12.2204
Copyright & License
Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).