Integration of Machine Learning and Deep Learning in Medical and Healthcare Education

Abstract

This abstract investigates the replacement of the old educational philosophy of one size fits all with systems such as individualized learning in the rise of technology. The personalized learning philosophy introduced in a student-cantered element is the exceptional approach to a vibrant and adventurous environment for every student through the ultimate expression of attention to the curriculum, progression, and resources. At the same time, intelligent technologies powered by machine learning algorithms evaluate the learning environment by establishing an enhanced cycle of learning that allows them to review the learners' performance data and adjust the learning routes dynamically. Advanced systems also function by providing a scaffold, immediate appraisal, and adaptation; the learning environment is extremely receptive and adaptable for learners. With the context of individual users and multiple learning styles, the intelligent technologies concept uses the definitive access to data-driven insights in education to cooperate as a unit in designing high-level learning experiences for all and maximizing all learners' potential. This abstract collaborates to apply the two concepts in transforming the old to the new education paradigms and experience of new learners in the digital era.