
To explore the current applications of artificial intelligence and machine learning in education for real-time decision making.
To analyze the impact of AI and ML technologies on enhancing the efficiency and effectiveness of decision-making processes in educational institutions.
To identify the challenges and opportunities of integrating AI and ML in real-time decision-making in the education sector.
To propose recommendations for the successful implementation of AI and ML in education for improving decision-making processes.
Conduct a literature review on the use of AI and ML in education for real-time decision making.
Identify and analyze case studies or examples of AI and ML technologies being utilized in educational settings.
Evaluate the benefits and limitations of AI and ML in improving decision-making processes in education.
Provide insights on the future trends and implications of AI and ML in the education sector.
Develop recommendations for educational institutions on how to effectively integrate AI and ML for real-time decision making.