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What is Personalized Learning (PL)

Disruptive Technologies in Education and Workforce Development
Uses AI to adapt educational content and instruction to the learner’s individual needs.
Published in Chapter:
Artificial Intelligence in Education: Transforming Learning and Teaching
Julie A. Delello (The University of Texas at Tyler, USA), Jennifer Bailey Watters (The University of Texas at Tyler, USA), and Arlene Garcia-Lopez (Miami Dade College, USA)
Copyright: © 2024 |Pages: 26
DOI: 10.4018/979-8-3693-3003-6.ch001
Abstract
This chapter explores artificial intelligence (AI) and its potential to revolutionize the field of education by enhancing teaching and learning. It further highlights ways in which AI technologies can support educators and students, including content creation encompassing voice and video, task automation, and the provision of personalized learning through adaptive learning platforms. Potential benefits to leveraging AI technology include improved learner engagement, automated administrative processes, and more robust data-driven insights. As AI advances, a unique opportunity emerges for schools to prepare educators to use AI in the classroom and for educators to redefine traditional teaching methodologies. Nonetheless, balancing AI innovation with ethical considerations includes considering issues in transparency and privacy in AI algorithms as well as mitigating biases in the data.
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More Results
Personalized Learning and Special Education
Lessons developed based on a student’s specific learning needs and interests. It can be used for students with and without an identified disability.
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Advantages and Disadvantages of Personalized Learning
Developing lessons based on student-specific learning needs and interests. It can be used for students with and without an identified disability.
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Personalized Learning Case Studies
Developing lessons based on a student’s specific learning needs and interests. It can be used for students with and without an identified disability.
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