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

Name: Zhou Hongren

keyword: Independent Study

ThaSH: Education

Classification :.DDC: 370

; artificial intelligence tools

ThaSH: Management

; autonomous learning ability

ThaSH: Self-managed learning

; self-regulated learning

ThaSH: Artificial intelligence -- Educational applications

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

Siam University. Library and Information Resource Center

Address: BANGKOK

Email: library@siam.edu

Name: Ma Yu

Role: Advisor

Created: 2568

Modified: 2569-02-05

Issued: 2026-02-05

วิทยานิพนธ์/Thesis

application/pdf

eng

DegreeName: International Master of Business Administration (I.M.B.A.)

Level: Master's Degree

Descipline: Education Management

Grantor: มหาวิทยาลัยสยาม

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