A Survey Paper on Cognitive - Aware Temporal Learning for Hyper - Personalized Education

Cognitive Aware Temporal Learning for Hyper-Personalized Education develops intelligent education systems which transform conventional teaching methods into automatically adjusting educational experiences. The AI-based personal tutoring system functions as more than a basic question and answer platform by storing study session details from past sessions to track student development throughout their academic journey. The system creates knowledge timelines to discover user learning weaknesses which it addresses through spaced repetition methods and custom quizzes that adjust based on each user's unique study behavior. The platform uses advanced Natural Language Processing and LLaMA-2/3 (7B) with Sentence-BERT/MiniLM embedding models to provide temporal reasoning and vector storage through FAISS and session tracking with SQLite/PostgreSQL database systems. The system demonstrates knowledge advancement through time which supports learning by adjusting content based on intelligent algorithms. The Python based system uses Streamlit/Flask to create an interactive interface which enables this "temporal tutor" to provide customized educational assistance as students progress through their educational paths in coding and exam preparation. Keywords:AI-powered personal tutor, Temporal memory, Adaptive learning, Spaced Repetition, Knowledge Timelines, Personalized Education, Session Tracking, Temporal Reasoning, Embeddings.