| Title: | The Impact of the Use of Artificial Intelligence Tools on the Autonomous Learning Ability of Higher Vocational Students: A Case Study of Nanjing Vocational College of Economics and Trade |
| Author: | Zhou Hongren |
| Advisor: | Dr. Ma Yu |
| Degree: | Master of Business Administration |
| Major: | Education Management |
| Faculty: | บัณฑิตวิทยาลัย (Graduate School) |
| Academic year: | 2568 (2025) |
| Published: | นำเสนอในที่ประชุมวิชาการ (Conference) The 18th National and International Academic Conference “Sustainable Horizon: Transforming Ideas into Impact” 6-7 August 2025 (pp.750-758) Click PDF |
Abstract
As artificial intelligence (AI) tools become increasingly embedded in educational contexts, their influence on students’ independent learning has gained scholarly attention. This study explored the impact of the use of artificial intelligence tools on the autonomous learning ability of students in higher vocational education, focusing on a case study of Nanjing Vocational College of Economics and Trade. Drawing upon the Technology Acceptance Model (TAM) and Self-Regulated Learning (SRL) theory, the research examined four key independent variables: prerequisite knowledge before using AI tools, difficulty in using AI tools, frequency of AI tool use, and process evaluation.
This study adopted quantitative research methodology, and a structured questionnaire was developed and distributed to 450 students, yielding 425 responses, of which 389 were valid. Using reliability and validity testing, descriptive statistics, correlation analysis, and multiple linear regression, the study found that prerequisite knowledge, frequency of use, and process evaluation positively and significantly influenced students’ autonomous learning ability. In contrast, the difficulty of use did not have a significant effect.
The findings highlight the dual role of AI in supporting and potentially hindering student agency, suggesting that effective integration of AI tools in vocational education must be accompanied by appropriate guidance, training, and self-monitoring mechanisms. The study contributes to both theoretical understanding and practical strategies for enhancing autonomous learning in the age of intelligent technologies.
Keywords: artificial intelligence tools, autonomous learning ability, self-regulated learning
6617195707 Zhou Hongren, 2568 (2025). Advisor: Dr. Ma Yu, สารนิพนธ์ (Independent Study), The Impact of the Use of Artificial Intelligence Tools on the Autonomous Learning Ability of Higher Vocational Students: A Case Study of Nanjing Vocational College of Economics and Trade , นำเสนอในที่ประชุมวิชาการ (Conference), The 18th National and International Academic Conference 2025, ปริญญาโท (Master’s Degree), บัณฑิตวิทยาลัย (Graduate School), Master of Business Administration, Education Management, Siam University, Bangkok, Thailand – มหาวิทยาลัยสยาม กรุงเทพมหานคร ประเทศไทย