AI in Education: Personalizing Learning Experiences and Outcomes

Authors

  • Quinn Hall PhD
  • Morgan Turner Dr.
  • Robin Roberts Prof.

Keywords:

Artificial Intelligence, Education, Personalized Learning, Student Engagement, AI Algorithms

Abstract

This study explores the application of artificial intelligence in education, focusing on personalizing learning experiences and outcomes. By leveraging AI algorithms, educational tools can adapt to individual learning styles and paces, enhancing student engagement and achievement. The article discusses the benefits and challenges of implementing AI in educational settings, emphasizing the need for data privacy and equitable access to technology.

Author Biographies

Quinn Hall, PhD

PhD
University of Copenhagen
Nørregade 10, 1165 København, Denmark

Morgan Turner, Dr.

Dr.
University of Auckland
Auckland 1010, New Zealand

Robin Roberts, Prof.

Prof.
National University of Singapore
21 Lower Kent Ridge Rd, Singapore 119077

References

Kumar, Nitin, and Vipin Kataria. "Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture."

KUMAR, Nitin; KATARIA, Vipin. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.

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Published

2024-09-18

Issue

Vol. 2 No. 3 (2024)

Section

Articles