Author(s)

Gao Zhang ¹

Affiliation(s)

¹ Sichuan Vocational and Technical College, Suining, Sichuan, 629000, China

Corresponding Author

Gao Zhang

ABSTRACT

The current higher vocational (HV) students belong to the network generation, they have a strong sense of independence and self-expression, and their behavioral choices tend to be diversified. The single reliance on the indoctrination type of education can no longer meet their needs, and the use of modern carriers represented by self-media can effectively mobilize the enthusiasm of HV students and be more easily accepted by them. Therefore, this paper explores the positioning of IAPE segmentation and implementation strategies for students in HV. In the ideological and political education (IAPE) of higher education institutions, counsellors play an important role and need to be positioned and the factors affecting IAPE need to be subdivided. This paper firstly elaborates on the concepts related to the positioning of the role of counsellors, then explains and analyses the influencing factors, and finally conducts an investigation and analysis and proposes implementation strategies.

KEYWORDS

Higher Education Institutions, Ideology and Politics, Educational Segmentation and Positioning, Implementation Strategies

CITE THIS PAPER

Gao Zhang, Subdivision Orientation and Implementation Strategy of 9+3 Students' Ideological and Political Education in Higher Vocational Colleges. Advances in Vocational and Technical Education (2022) Vol. 4: 56-61. DOI: http://dx.doi.org/10.23977/avte.2022.040510.

REFERENCES

[1] Mahyar Kamali Saraji, Abbas Mardani, Mario Koppen, Arunodaya Raj Mishra, Pratibha Rani. An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions. Artif. Intell. Rev. 55(1): 181-206 (2022).
[2] Abdel-Salam G. Abdel-Salam, Khalifa Abdulla Hazaa, Emad Ahmed Abu-Shanab. Evaluating the Online Learning Experience at Higher Education Institutions. Int. J. Cyber Behav. Psychol. Learn.12(1): 1-23 (2022).
[3] Masoud Ramezaninia, Farhad Panahifar, Nima Hassanzadeh Sarhangi. Significant factors affecting m-banking adoption case study: higher education institutions in Tehran. Int. J. Electron. Bus. 17(1): 61-86 (2022).
[4] Renatus Michael Mushi, Deogratius Mathew Lashayo. E-Learning Readiness Assessment on Distance Learning: A Case of Tanzanian Higher Education Institutions. Int. J. Inf. Commun. Technol. Hum. Dev. 14(1): 1-10 (2022).
[5] Marco A. Coral, Augusto E. Bernuy. Challenges in the Digital Transformation Processes in Higher
Education Institutions and Universities. Int. J. Inf. Technol. Syst. Approach 15(1): 1-14 (2022).
[6] Gilberto Marzano, Aleksandra Zajac. Emergency Remote Education and Smart Working at Three European Higher Education Institutions. Int. J. Web Based Learn. Teach. Technol. 17(6): 1-22 (2022).
[7] Farhana Tabassum, Nazia Akram, Muhammad Moazzam. Online Learning System in Higher Education Institutions in Pakistan: Investigating Problems Faced by Students During the COVID-19 Pandemic. Int. J. Web Based Learn. Teach. Technol. 17(2): 1-15 (2022).
[8] Patiswa Zibani, Mogiveny Rajkoomar, Nalindren Naicker. A systematic review of faculty research repositories at higher education institutions. Digit. Libr. Perspect. 38(2): 237-248 (2022).
[9] Nidhi Agarwal, Devendra K. Tayal. FFT based ensembled model to predict ranks of higher educational institutions. Multim. Tools Appl. 81(23): 341 29-34162 (2022).
[10] Joao Coelho Soares, Ricardo Limongi, Eric David Cohen. Engagement in a social media: an analysis in higher education institutions. Online Inf. Rev. 46(2): 256-284 (2022).

Sponsors, Associates, and Links

---

• Advances in Educational Technology and Psychology
  
  
• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Adult and Higher Education