Artificial Intelligence in Personalized Learning

Authors

  • Nico Hall
  • Dana Hall
  • Chris Phillips

Keywords:

artificial intelligence, personalized learning, education, student data, algorithmic bias

Abstract

This study examines the role of artificial intelligence (AI) in creating personalized learning experiences. By analyzing student data, AI systems can tailor educational content to individual needs, enhancing learning efficiency and engagement. The paper reviews various AI applications in education, assessing their impact on student performance. Challenges such as data privacy and algorithmic bias are also discussed. The findings underscore the potential of AI to revolutionize education by providing customized learning pathways, thereby fostering a more inclusive and effective educational environment.

Author Biographies

Nico Hall

PhD
University of Sydney
Camperdown NSW 2006, Australia

Dana Hall

PhD
Technical University of Munich
Arcisstraße 21, 80333 München, Germany

Chris Phillips

PhD
Indian Institute of Technology Bombay
Powai, Mumbai, Maharashtra 400076, India

References

Адамбаева, Ж. И. (2020). Наука, новые технологии и инновации Кыргызстана. НАУКА, НОВЫЕ ТЕХНОЛОГИИ И ИННОВАЦИИ КЫРГЫЗСТАНА Учредители: ОО" Общественная Академия ученых Кыргызской Республики", (10), 137-141.

Stoilova, E. (2024). ПРИОБЩАВАНЕ В РАЗНООБРАЗИЕТО: СПРАВЕДЛИВОСТ И ДОСТЪПНОСТ ЗА ВСИЧКИ. СВЕТОВНА НАУЧНА КОНФЕРЕНЦИЯ–АХМЕДАБАД, ИНДИЯ, 14–17 НОЕМВРИ 2024 Г., ОРГАНИЗИРАНА ОТ МЕЖДУНАРОДНИЯ СЪВЕТ ЗА ОБУЧЕНИЕ НА ЗРИТЕЛНО ЗАТРУДНЕНИ ЛИЦА (ICEVI). Специална педагогика и логопедия (Online), 9(1), 64-67.

Баряева, Л. Б., Газиева, М. З., & Зейналова, Н. Э. Г. (2024). Корреляты инклюзивной культуры будущего педагога с готовностью к педагогической деятельности и параметрами эмоционального интеллекта (кросскультурный аспект). Проблемы современного педагогического образования, (84-2), 40-43.

Published

2024-08-12

Issue

Section

Articles