Deep Learning-Driven Smart Pedagogy and Assessment: A Quality Framework for Outcome-Based Education in Higher Education

Pedagogy, which studies educational philosophy and practice, is adapting to technology. Technology shapes our perceptions, thoughts, and interactions, necessitating a digital revolution in teaching. In keeping with OECD and UNESCO attempts to construct a new school of thought based on natural learning, smart pedagogy employs AI to build intelligent educational agents. They aim for the UN's sustainable development goals. Preprocessing and model training comprise the suggested technique. Preprocessing prepares the dataset for analysis by standardizing, addressing missing values, removing duplicates, encoding category variables, and normalizing. Training the model employed the HC-RAN. HC-RAN outperformed CNN and RAN. The method's 94.36% accuracy rate demonstrated its value in processing and assessing educational datasets. AI in education can create a smart, long-lasting system. Smart pedagogy reimagines classrooms and teaching methods using cutting-edge models like HC-RAN to achieve global education goals and encourage well-rounded growth.