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Adaptive Learning Platforms: AI Integration and Pedagogical Implications

EasyChair Preprint no. 14029

7 pagesDate: July 18, 2024

Abstract

Adaptive learning platforms, powered by AI, revolutionize education by personalizing the learning experience for each student. These systems analyze individual performance and adapt content to meet specific needs, optimizing engagement and mastery. By offering real-time feedback and tailored resources, they support diverse learning styles and paces. The integration of AI enhances educators' ability to track progress and adjust teaching strategies accordingly. However, challenges such as data privacy, algorithm transparency, and equitable access must be addressed. The pedagogical implications include fostering a more student-centered approach, promoting autonomy, and improving overall educational outcomes. These platforms hold the potential to transform traditional learning environments.

Keyphrases: Artificial Intelligence, pedagogical strategies, social media

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:14029,
  author = {Jane Elsa and Jacob Miles},
  title = {Adaptive Learning Platforms: AI Integration and Pedagogical Implications},
  howpublished = {EasyChair Preprint no. 14029},

  year = {EasyChair, 2024}}
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