A New Type of Professional Farmers’ Digital Literacy Ability Evaluation Algorithm Based on Two-Step Clustering

DOI

10.2991/978-94-6463-200-2_3How to use a DOI?

Keywords

Professional farmers; Digital literacy; Two step clustering

Abstract

In order to solve the problem of evaluating the digital literacy ability of new professional farmers, the definition and classification of urban and rural new professional farmer groups are integrated with existing research, the evaluation index of digital literacy ability of new professional farmers is constructed, and the secondary clustering method is applied to subdivide and evaluate the research population. Using the survey data and case analysis, SPSS is used to calculate and automatically determine the optimal number of clusters. The digital literacy of new professional farmers is divided into three levels: high ability, general ability and low ability. The most important indicator for improving digital literacy is digital governance, followed by digital application. Then using the chi-square analysis, it is found that there is no significant difference in gender in the digital literacy of the three types of new professional farmers; The digital literacy of the low age group is significantly higher than that of the high age group; The digital literacy of people with high education is significantly higher than that of people with low education. In the future, we need to enhance the awareness of personal digital rule of law; Strengthen the training of digital application, implement the post of agricultural digital technician, etc.

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.

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TY  - CONF
AU  - Feng Wu
AU  - Wenjing Liu
AU  - Zhixiong Liu
AU  - Jingwen Zeng
PY  - 2023
DA  - 2023/07/26
TI  - A New Type of Professional Farmers’ Digital Literacy Ability Evaluation Algorithm Based on Two-Step Clustering
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 12
EP  - 23
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_3
DO  - 10.2991/978-94-6463-200-2_3
ID  - Wu2023
ER  -