The Application of ChatGPT in Economics Teaching: Scenarios, Deficiencies and Strategies

Abstract

ChatGPT, as a large-scale language model, will profoundly influence and reshape the existing education and teaching model. This paper comprehensively analyzes the key technologies and core functions of ChatGPT and its application value in the education industry, and further emphasizes the unique advantages and potential value of ChatGPT in the teaching of economics courses. On this basis, the paper focuses on the application of ChatGPT in teaching, learning and evaluation of economics courses, and emphasizes several disadvantages of ChatGPT in education, including cheating and academic dishonesty, difficulty in ensuring the authenticity of answers, which may weaken students’ self-learning ability, and challenges to the essence of education. In view of this, this paper puts forward countermeasures from two aspects of technology and system respectively: technically, we should improve the accuracy of the content and enhance the controllability of the application process; systemically, we should improve the mathematical intelligence of the educational subject and strengthen the academic normative management.