Dynamic Evaluation and Incentive Mechanism Framework for Postgraduates' Academic Performance Stability

Le résumé fourni par la source

Against the backdrop of the Party and the state's emphasis on promoting educational evaluation reform and implementing process-based evaluation, this paper combines the process optimization concept of Industrial Engineering (IE) and data-driven thinking to construct a dynamic evaluation system covering the entire student learning process. In response to the shortcomings of the traditional "30/70" rigid scoring system, such as insufficient discrimination, inability to dynamically assess students' learning stability, and difficulty in guiding learning enthusiasm through scientific rewards and punishments, this paper designs a stability quantification method based on indicators such as average scores and trend slopes, and formulates segmented incentive and punishment strategies. This model can effectively enhance the discrimination of high-score segments while protecting the learning enthusiasm of underperforming students, providing a feasible approach for the digital and scientific reform of educational evaluation.

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