Presenting a Model for Digital Transformation in Higher Education

Abstract

The present study offers a model for digital transformation in higher education through a meta-synthesis approach. The research is applied in terms of purpose and qualitative with an exploratory approach in terms of nature. The research population consists of articles related to digital transformation in higher education, either jointly or separately. The data collection method is documentary-library research using the meta-synthesis method, and the sampling method was selected based on inclusion and exclusion criteria in the PRISMA method. To address the research questions, 65 articles were reviewed and analyzed, resulting in the extraction of 15 categories and 95 meaningful codes. The synthesis of findings, after obtaining the opinions of university experts (five educational management professors), was classified into seven dimensions (advanced educational platforms with artificial intelligence, automated administrative processes, immersive learning environments, data-driven decision-making, sustainability and scalability, data privacy, and assessment and evaluation) and 33 categories. Digital transformation in higher education, as one of the most significant global trends, plays a crucial role in improving the quality of education, increasing access to scientific resources, and transforming learning methods. With the advancement of modern technologies such as artificial intelligence, big data, machine learning, the Internet of Things, and blockchain, traditional higher education systems are facing numerous challenges that necessitate fundamental revisions and changes in educational structures and methods.