EXPLORING EDUCATIONAL STRATEGIES AND CHANGE MANAGEMENT TECHNIQUES IN THE AGE OF ARTIFICIAL INTELLIGENCE

Abstract

The research presents the dynamic of integration between various educational strategies and tenants and change management principles in the area of AI implementation. More specifically, the primary purpose of the study is to investigate the goals and reasons for adopting AI-based educational strategies and outline potential problems and complexities. The study was qualitative in nature and purposive sampling technique was used to select the sample of study. The sample of the study was consisted of fifteen participants including teachers, administrators and students. A self developed interview guide was used to conduct the data of the study. Validity of the interview guide was ensured from language and subject experts. Researcher used semi structured interviews for data collection. Subsequently, thematic analysis was performed. Thus, the research highlighted the perspectives, reasons, and motivations to adopt AI-driven educational strategies and articulate difficulties and challenges related. Thus, research study explored the view and opinion on AI offered by educators, administrators, and stakeholders who express their vision based on their experience with AI application in education. As the obtained evidence has shown, the sentiment of the participants regarding the potential AI transformation are growing, but so are the major knowledge, preparedness, and ethical consideration-related barriers. Moreover, research revealed the critical role of change management, with a focus on the significance of leadership, communication, and stakeholder involvement in the process, all of which were highlighted by the participants. Lastly, it has been established that the creation of solid professional development and data governance strategies must become a priority to ensure the ethical use of AI and minimize risks.