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TTLV: The Impact of Artificial Intelligence Capabilities on Student Learning Performance

Tuesday - June 16, 2026 21:11

INFORMATION ABOUT THE MASTER'S THESIS

1. Student's full name:PHAN NGOC LINH2. Gender: Female

3. Date of birth: 08/10/1999

4. Place of birth: P516a, a10 Nghia Tan, Cau Giay, Hanoi.

5. Decision on student admissionDecision No. 7353/QD-XHNV dated December 31, 2024, of the Rector of the University of Social Sciences and Humanities, Vietnam National University, Hanoi

6. Changes in the training process:Not available

7. Thesis title: Impact ofcapacityArtificial intelligence and student learning effectiveness..

8. Major: Information Science - Library Science; Code: 24037297

9. Scientific supervisorAssociate Professor,PhD, Senior LecturerDo Van Hung.

Department of Information Management/ Faculty of Social Sciences and Humanities

10. Summary of the thesis results:

The thesis has fulfilled the research objectives and tasks set forth, providing a relatively comprehensive picture of the current state of artificial intelligence capabilities among students and the extent to which these capabilities impact student learning outcomes.Specifically, as follows:

Firstly, regarding the theoretical basis: The thesis has systematized the concepts of artificial intelligence, AI capabilities, and learning effectiveness, and has built a research model based on three components of AI capabilities: human-centered thinking, AI ethics, and AI applications in learning.

Secondly, regarding the current situation:Research shows that artificial intelligence is increasingly used by students in their studies. However, students' AI capabilities are still uneven, particularly in aspects such as critical thinking, AI ethics, and the ability to utilize AI effectively and responsibly..

Thirdly, regarding solutions: The thesis has proposed groups of solutions aimed at improving artificial intelligence capabilities and learning effectiveness for students.

This thesis clarifies the relationship between artificial intelligence capabilities and student learning outcomes and digital transformation. The research model and the set of criteria for evaluating artificial intelligence capabilities and learning outcomes developed in this thesis can be used as a reference for further research..

11. Practical applications:The research results provide a scientific basis for developing artificial intelligence capabilities in students. At the same time, the research contributes to supporting the development of students' digital skills and learning abilities.

12. Future research directions: 

The first,This study assesses the long-term impact of artificial intelligence on students' learning outcomes, critical thinking, self-learning abilities, and creativity..

Monday,Further research into the mediating and regulating factors in the relationship between artificial intelligence capabilities and learning performance..

Thirdly, the study examines the impact of artificial intelligence technologies on students' learning and scientific research activities.

13. Published works related to the thesis:Do not have.

INFORMATION ON MASTER'S THESIS

1. Full name:PHAN NGOC LINH2. Sex:Female

3. Date of birth:October 8, 1999

4. Place of birth:Room 516a, A10 Nghia Tan, Cau Giay District, Hanoi.

5. Admission decision number:No. 7353/QD-XHNV dated 31 December 2024 issued by the Rector of the University of Social Sciences and Humanities, Vietnam National University, Hanoi.

6. Changes in academic process:None

7. Official thesis title:TheImpact of Artificial Intelligence Literacy on Students' Academic Performance.

8. Major:Library and Information Science9. Code: 24037297

9. Supervisors:Assoc. Prof. Dr. Do Van Hung, Senior Lecturer Faculty of Information Management, University of Social Sciences and Humanities, Hanoi.

10. Summary of thefindings of thethesis:The thesis has fulfilled the research objectives and tasks set forth, providing a relatively comprehensive picture of the current state of students' artificial intelligence capabilities and the extent of their impact on learning effectiveness. specific:

Firstly, regarding the theoretical basis: The thesis has systematized the concepts of artificial intelligence, artificial intelligence capabilities, and learning effectiveness, and has built a research model based on three components of artificial intelligence capabilities: human-centered thinking, AI ethics, and AI applications in learning.

Secondly, regarding the current situation:the research shows that artificial intelligence is being used increasingly by students in their learning activities. However, students' artificial intelligence capabilities are still uneven, especially in aspects of critical thinking, AI ethics, and the ability to utilize artificial intelligence effectively and responsibly.

Secondly, regarding solutions:The thesis proposed a number of solution groupsto enhance students' artificial intelligence capabilities and learning effectiveness.

The thesis explains the relationship between artificial intelligence capabilities, students' learning effectiveness, and digital transformation. The research model and the set of criteria for evaluating artificial intelligence capabilities and learning effectiveness developed in the thesis can be used as a reference for further research.

 11. Practical applicability, if any:The research results provide a scientific basis for orientations in developing artificial intelligence capabilities for students. At the same time, the research contributes to the development of students' digital competencies and learning capabilities.

12. Further research directions, if any:

Firstly, research evaluates the long-term impact of artificial intelligence on students' learning outcomes, critical thinking, self-learning ability, and creativity.

Secondly, further research into the mediating and moderating factors in the relationship between AI capabilities and learning effectiveness.

Thirdly, research into the impact of artificial intelligence technologies on students' learning and scientific research activities.

13. Thesis-related publicationsNone

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