Can Large Language Model Tools Promote the Development of University Students' Higher-Order Thinking Skills?——An Empirical Analysis Based on a Questionnaire Survey of Students from 12 Double First-Class Universities
In the era of intelligent technology,it has gradually become a consensus to pay attention to the cultivation of university students'higher-order thinking skills.However,there remains debate over whether university students can use large language model tools to promote the development of higher-order thinking skills is still controversial.Clarifying this dispute not only helps to theoretically analyze the mechanism of students'higher-order thinking development under the background of AI,but also provides a reliable basis for what measures to be taken by schools and teachers in educational practice.Accordingly,this paper made an empirical analysis on university students'use situation of large language model tools and its impact on higher-order thinking skills using questionnaire survey data of students from 12 double first-class universities in China.The results showed that more than half of university students used large language model tools,but the deep creative application still needed to be strengthened;increasing the frequency of basic execution and deep creative application of large language model tools had a significant positive effect on the development of higher-order thinking skills;interaction quality played a mediating role in the influence of the use frequency of large language model tool on higher-order thinking skills.Based on this,the paper suggested that universities should acknowledge the role of AI technology in the teaching process of higher education and actively promote the application of AI in empowering education,combine real situations inside and outside the class to promote the deep creative application of large language model tools,and strengthen the cultivation of AI literacy of teachers and students to improve the quality of human-computer interaction.
large language modelhigher-order thinking skillsuniversity studentsdouble first-class universities
NETL
NSTL
万方数据
