Chen Ximeng, Jiang Lina, Zhou Zineng, Li Dongxue
Teachers College for Vocational and Technical Education, Nanning Normal University, Nanning, China; China-ASEAN Vocational Education Research Center, Nanning Normal University, Nanning, China.
Teachers College for Vocational and Technical Education, Nanning Normal University, Nanning, China.
Acta Psychol (Amst). 2025 Aug;258:105217. doi: 10.1016/j.actpsy.2025.105217. Epub 2025 Jun 26.
The rapid progress of artificial intelligence (AI) has spurred significant changes in education, highlighting the need to explore students' perceptions and acceptance of AI-driven educational tools like humanoid robots. This study builds on an extended version of the Technology Acceptance Model (TAM), incorporating students' individual traits such as novelty-seeking and self-efficacy. Data was collected from 508 undergraduate students in mainland China through a survey, and analyzed using SPSS 23.0 and SmartPLS 4.0. The results show that novelty-seeking positively impacts perceived usefulness, while self-efficacy significantly enhances perceived ease of use. Both perceived ease of use and perceived usefulness are strong predictors of students' attitudes, which in turn influence their behavioral intentions to use humanoid robots in educational settings. The study enriches the TAM framework by integrating individual differences, providing new theoretical perspectives on technology acceptance in education. It also offers practical implications for education technology developers, educators, and policymakers, such as designing services according to students' personality traits, focusing on students with high self-efficacy for promotion, and highlighting the advantages of humanoid robots. However, the study has limitations, including potential sample bias from online surveys and a focus on current robots. Future research could address these by conducting broader field studies and exploring more advanced robots.
人工智能(AI)的快速发展促使教育领域发生了重大变革,凸显了探索学生对人形机器人等人工智能驱动的教育工具的认知和接受程度的必要性。本研究基于技术接受模型(TAM)的扩展版本,纳入了学生的个体特质,如寻求新奇和自我效能感。通过问卷调查从中国大陆的508名本科生中收集数据,并使用SPSS 23.0和SmartPLS 4.0进行分析。结果表明,寻求新奇对感知有用性有积极影响,而自我效能感显著提高了感知易用性。感知易用性和感知有用性都是学生态度的有力预测因素,进而影响他们在教育环境中使用人形机器人的行为意图。该研究通过整合个体差异丰富了TAM框架,为教育中的技术接受提供了新的理论视角。它还为教育技术开发者、教育工作者和政策制定者提供了实际启示,例如根据学生的个性特质设计服务,关注自我效能感高的学生以进行推广,并突出人形机器人的优势。然而,该研究存在局限性,包括在线调查可能存在的样本偏差以及对当前机器人的关注。未来的研究可以通过开展更广泛的实地研究和探索更先进的机器人来解决这些问题。