Research on the Effect Evaluation of Counselors' Heart-to-Heart Talks Based on the AHP-BP Neural Network

Abstract

Counselors' heart-to-heart talks constitute the core carrier for colleges and universities to fulfill the fundamental task of fostering virtue through education, and the scientific rigor of their effect evaluation directly underpins the precision and effectiveness of ideological and political education. Aiming at the inherent limitations of traditional evaluation methods—such as excessive subjectivity and inadequate nonlinear fitting capacity—this study integrates the Analytic Hierarchy Process (AHP) with the Back Propagation (BP) neural network to develop a comprehensive evaluation model. An empirical investigation was conducted based on a large sample of 3,484 student experience feedback questionnaires and 600 counselor self-assessment questionnaires. The empirical results demonstrate that the AHP-BP model achieves an evaluation accuracy of 92.3%, which is significantly superior to the single AHP model (78.6%) and the fuzzy comprehensive evaluation model (83.1%). This research not only provides a scientific quantitative tool for the accurate evaluation of counselors' heart-to-heart talk effectiveness but also offers empirical data support and practical implementation paths for enhancing the quality of ideological and political education in higher education institutions.