NLP tools can be leveraged for preparing smart and personalized training content. Text summarisation tools help disseminate vast literature into easy-to-understand modules. AI techniques can be used to curate quizzes and questions for student evaluation.

Progress tracking and performance monitoring are important criteria for evaluating both the student and teacher. Based on the results of the students, intelligent predictive algorithms can be devised to suggest ways for improvement. By analyzing feedback about teachers, tutoring methodologies can be suggested.

Students' decisions are influenced by several factors for choosing the right career path which may need the attention of an academic advisor. In such scenarios, AI can assist the advisor to better understand the needs of the students and serve with a better solution based on their interests, intellectual abilities, and skillsets.