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Your AI Tutor: Personalized Learning Paths and 24/7 Support

EasyChair Preprint no. 13005

5 pagesDate: April 12, 2024

Abstract

The advancements in artificial intelligence (AI) have revolutionized the education landscape, giving rise to the concept of AI tutors. This abstract explores the concept of an AI tutor that provides personalized learning paths and round-the-clock support to learners.

The AI tutor leverages sophisticated algorithms and machine learning techniques to analyze a student's strengths, weaknesses, and learning style. By gathering data from various sources, such as assessments, quizzes, and user interactions, the AI tutor tailors a personalized learning path for each student. This adaptive approach ensures that learners receive content and exercises that are specifically designed to address their individual needs and promote effective learning.

Moreover, the AI tutor offers 24/7 support, eliminating the limitations of traditional classroom settings and fixed tutoring hours. Learners can access the AI tutor at any time, allowing them to learn at their own pace and convenience. The tutor provides immediate feedback, clarifies doubts, and assists in problem-solving, fostering an interactive and engaging learning experience. Additionally, the AI tutor tracks the progress of each student, identifying areas of improvement and providing timely interventions to enhance learning outcomes.

Furthermore, the AI tutor can offer a wide range of educational resources, including interactive multimedia content, simulations, and virtual reality experiences. These resources cater to different learning preferences and help reinforce concepts effectively.

Keyphrases: AI, machine learning, Technology, tutoring

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:13005,
  author = {Abil Robert},
  title = {Your AI Tutor: Personalized Learning Paths and 24/7 Support},
  howpublished = {EasyChair Preprint no. 13005},

  year = {EasyChair, 2024}}
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