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

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.