Research and Practical Application of Higher Education Health Index Model Based on AHP and EWM Methods
- DOI
- 10.2991/978-94-6463-230-9_112How to use a DOI?
- Keywords
- AHP; EWM; HEHI; K-means; gray Prediction
- Abstract
The sustainable development of higher education is crucial for building a healthy and sustainable society. In this paper, to evaluate the health of higher education in a country, we developed a Higher Education Health Index (HEHI) model that comprises 16 indicators across five aspects. We used principal component analysis to select relevant indicators and applied Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) to calculate the weights of the model’s indicators. We also conducted cluster analysis using the K-means algorithm. We applied the HEHI model to evaluate India’s Higher Education Health Level (HEHL) and proposed a vision for India’s higher education system. The gray prediction model was used to forecast HEHI, propose policies, and assess their effectiveness. We predict that India will achieve its proposed vision before 2032. Our research provides valuable solutions for improving the country’s higher education level and building a sustainable higher education system.
- 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 - Long Cheng AU - Yuxuan Liu PY - 2023 DA - 2023/09/04 TI - Research and Practical Application of Higher Education Health Index Model Based on AHP and EWM Methods BT - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) PB - Atlantis Press SP - 925 EP - 932 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-230-9_112 DO - 10.2991/978-94-6463-230-9_112 ID - Cheng2023 ER -