INFORMATION ABOUT THE MASTER'S THESIS
1. Student's full name: Le Hai Duyen 2. Gender: Female
3. Date of birth: February 5, 1998
4. Place of birth: Thanh Hoa
5. Decision No. 5626/QD-XHNV dated December 29, 2023, of the Rector of the University of Social Sciences and Humanities, Vietnam National University, Hanoi, recognizing the student.
6. Changes in the training process: None
7. Project Title: Using Social Media to Enhance the Quality of Ideological Education for Students at the International School, Vietnam National University, Hanoi
8. Major: Journalism and Media Management; Code: 8320109
9. Scientific supervisor:
- Assoc. Prof. Dr. Dinh Van Huong - Faculty of Social Sciences and Humanities, Vietnam National University, Hanoi
- Dr. Nguyen Thi Hang - Phenikaa University
10. Summary of project results:
This project aims to develop a model for applying the social network Threads in ideological education for students at the International School – VNU Hanoi through theoretical analysis, current situation surveys, and experimental implementation. The results show that Threads helps increase students' access, interaction, and dialogue with ideological content, while also aligning with the communication habits of Gen Z. The project also proposes a set of criteria for evaluating the effectiveness of digital communication, a three-stage operational process, and a coordination mechanism between the school, lecturers, and the Youth Union.
11. Practical applications:
This model can be widely applied at the International School and other units under VNU, integrated into a multi-platform media ecosystem. This approach is suitable for internationalized universities with a large number of international students and can be applied to the communication channels of the Youth Union, student clubs, and awareness education projects in the context of digital transformation.
12. Future research directions: Propose expanding research to other platforms (TikTok, Instagram, Facebook Groups); conduct in-depth research on the level of internalization of ideological values through social media; and apply AI to analyze feedback, predict interactions, and optimize content for ideological education.
13. Published works related to the project: None
INFORMATION ON PROJECT
1. Full name: Le Hai Duyen 2. Sex: Female
3. Date of birth: February 5, 1998 4. Place of birth: Thanh Hoa
5. Admission decision number: 5626/QD-XHNV Dated December 29, 2023
6. Changes in academic process:
7. Official project title: Using Social Media to Enhance the Quality of Ideological Education for Students at the International School, Vietnam National University, Hanoi.
8. Major: Journalism and Communication Management Code: 8320109
9. Supervisors:
- Assoc. Prof. Dr. Dinh Van Huong - University of Social Sciences and Humanities, Vietnam National University, Hanoi
- Dr. Nguyen Thi Hang - Phenikaa University
10. Summary of the findings of the project:
The project developed a model for applying the social media platform Threads to ideological education for students at the International School – VNU, based on theoretical analysis, an assessment of the current situation, and a pilot implementation. Results show that Threads enhances student reach, engagement, and dialogue regarding ideological and value-oriented content, while aligning with the communication habits of Generation Z. The project also proposed criteria for evaluating the effectiveness of digital ideological communication, a three-phase operational process, and a coordination mechanism among the School's administration, teachers, and the Youth Union.
11. Practical applicability:
The model can be widely applied at the International School and other VNU member institutions, integrated into a multi-platform communication ecosystem. This approach is suitable for universities with multicultural environments or strong internationalization, and can also be adopted by Youth Union channels, student clubs, and digital citizenship education initiatives in the context of digital transformation.
12. Further research directions:
Future research may expand the model to other platforms (TikTok, Instagram, Facebook Groups), examine the internalization of ideological values through social media, and apply AI tools to analyze feedback, predict engagement, and optimize content for ideological education.
13. Thesis-related publications: None
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