The Integration of Artificial Intelligence towards Interactive Based Higher Education System Design
Abstract
Integration of AI in higher education presents a variety of areas that can enhance the learning experience among students. The adaptive AI learning systems or personalized education can use advancement to increase the learning outcome and students’ engagement through personalized education, which primarily customizes the contents and pacing to fit the needs of the student. AI-driven virtual assistants and chatbots can help students outside the classroom with any kind of quick assistance to provide smooth learning experiences. Further, AI is going to bring a change in research in higher education with new speeds of discovery and innovation through AI. Machine learning techniques can analyze big data sets and even discover trends and relationships between the data that human researchers would overlook, thereby growing under many lines of studies. Further still, natural language processing, among other AI-driven tools, may empower researchers to sensitize from literature reviews and data analysis to hypothesis generation, enabling them to make more informed decisioning in line with advancing scientific knowledge.