Next-Gen AI-Powered Personalized Learning and Interview Preparation: A Comprehensive Survey
Keywords:
AI-powered Learning, Adaptive learning, Generative AI, Interview preparation, Mock interviews, NLP feedback, Personalized educationAbstract
The rapid development of artificial intelligence has transformed education and career readiness. The conventional Learning Management Systems (LMS) and interview readiness software tend not to be adapted at an individual level, thus being inefficient for developing skills. This literature review delves into AI-powered individualized learning platforms based on AI-generating courses, adaptive learning methodologies, and auto- evaluative mock interviews. Various research works have explored reinforcement learning for adaptive learning, NLP feedback for simulated interviews, and generative AI for adaptive course material. The survey indicates notable gaps in research, including the lack of a single integrated system that incorporates personalized learning with career readiness tests. The research indicates the importance of a full-fledged AI-driven platform that improves learning efficiency and career readiness. Future studies must aim at enhancing AI models for adaptive content creation and enhancing NLP-based interview feedback.
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