Single Valued Complex Neutrosophic Set for Innovative Teaching Begins with Training: Evaluating the Success of Faculty EdTech Programs

Abstract

As digital transformation continues to reshape the educational landscape, training programs 
aimed at equipping university faculty with technological competencies have become essential. 
Evaluating the effectiveness of these educational technology (EdTech) training initiatives is 
critical for ensuring quality instruction and meaningful technology integration. This study 
applies a Multi-Criteria Decision-Making (MCDM) approach to assess the success of faculty 
EdTech programs, identifying relevant criteria and evaluating a diverse range of training 
alternatives. The evaluation model not only prioritizes effectiveness but also aligns with 
institutional goals for innovation and sustainable professional development. The average method 
is used to compute the criteria weights. The MACONT method is used to rank the alternatives. 
The Single Valued Complex Neutrosophic set (SVCNS) is used with the MCDM approach to deal 
with uncertainty information. A case study is provided in this study.

DOI: 10.5281/zenodo.15200105