Research on the Application of AI Dynamic Evaluation in the Teaching Reform of Marketing Courses

Abstract

The old way of testing in the marketing class can no longer tell us how much the students' strategic thinking and creativity have changed. Dynamic assessment can collect information on how a student behaves at a specific time and adjust the teaching content according to any changes in the student's circumstances. The following are the contents that will be covered in this paper: Differentiation of Dynamic and Static Assessment; Construction of a Cyclic Iterative Assessment and Learning Model; Development of Transformation Rules for Changing Difficulty and Modification Strategies of Learning Paths Based on Behaviour Data; Construction of a Three-Tier Multi-dimensional Indicator System; Analysis of the Positive Impact of AI Assessment on Students' Learning Enthusiasm; and Reconstruction of the Assessment Function in a Two-way Feedback System between Teachers and Students. Based on the above research, artificial intelligence dynamic evaluation can be used to integrate external scoring in the teaching process, and thus both a technical path and a theoretical basis for the reform of curriculum teaching have been established.