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IJIET 2024 Vol.14(12): 1734-1742
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, and Zhuolai Liang5,*
1. Department of Computers, Guangdong Songshan Polytechnic College, Shaoguan, China
2. Department of Computer and Information Engineering, Youngsan University, Yangsan-si, Republic of Korea
3. Department of Mechanical and Automotive Engineering, Youngsan University, Yangsan-si, Republic of Korea
4. Adult Continuing Education Department, Zhu Hai City Polytechnic, Zhuhai, China
5. Ouyeel Industrial Products Co.,Ltd, Shaoguan, China
Email: 99044900@qq.com (D.L.); mskim@ysu.ac.kr (M.K.); 106044897@qq.com (H.Q.), 13826328380@139.com (Z.L.)
*Corresponding author

Manuscript received August 7, 2024; revised August 28, 2024; accepted October 9, 2024; published December 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

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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.


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).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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