文献类型：期刊文献

英文题名：Evaluation of Practice-Based Curriculum Objectives Achievement Degree Using Einstein Aggregation Operators of Single-Valued Neutrosophic Credibility Numbers

作者：Zhang, Tong[1]; Lu, Xueping[1]; Chen, Kun[1]; Liu, Chunping[1]; Ye, Jun[2]

机构：[1] School of Mechanical and Electrical Engineering, Shaoxing University, Shaoxing, 312000, China; [2] School of Civil and Environmental Engineering, Ningbo University, Ningbo, China

年份：2025

卷号：86

起止页码：159

外文期刊名：Neutrosophic Sets and Systems

收录：EI(收录号：20252418615666)、Scopus(收录号：2-s2.0-105008011585)

语种：英文

外文关键词：Curricula - Decision making - Engineering education - Statistical methods - Students - Teaching

外文摘要：Currently, student-centered and outcome-based engineering education accreditation is being actively promoted in universities across China. Evaluation of the curriculum objectives achievement degree serves as an effective method after OBE-based courses teaching to assess the improvement of students' abilities, evaluate education quality, and facilitate self-reflection of teaching by instructors. The process of evaluating curriculum objectives involves a complex multiple-attribute decision-making (MADM) scenario, often accompanied by elements of vagueness, uncertainty, and inconsistency. The application of single-valued neutrosophic credibility numbers sets (SvNCNs) offers a robust approach to handle and represent uncertain information throughout this evaluation process. Therefore, to enhance the accuracy of course achievement evaluation, this paper proposes a MADM framework based on SvNCNs, integrated with improved Einstein aggregation operators, to the achievement degree of practice-based curriculum objectives evaluation. The method is applied to the practice-based curriculum and is further compared and analyzed with other classical methods to show the efficiency of the proposed method, which will assist decision-makers in making better decisions when dealing with similar MADM assessment problems. ? 2025, University of New Mexico. All rights reserved.