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

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.

Abstract licence: CC BY-NC

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