AI transforms U.S. learning with personalized approach

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"Transformed Learning"

Artificial Intelligence (AI) is transforming learning in the U.S. with tools like Answer AI, which originated in China. These AI-based programs enable students to grasp and solve intricate problems, marking a significant departure from conventional learning methods like YouTube videos or private tutoring.

AI allows students to learn at their pace and gives immediate feedback while tracking their progress, making learning more personalized, accessible, and efficient. Despite their Chinese origins, such innovations have had a worldwide impact, with rapid adoption in America.

These AI-based programs can rival with traditional tutoring services, providing equal or superior services at a greatly reduced cost. The AI platforms, available around the clock, allowed users more flexibility and control over their study schedule. This control, combined with their ability to adjust to each student’s learning style, makes AI an attractive alternative to conventional tutoring.

Currently, 25% of top-rated U.S. educational apps use AI to support students’ learning journey. This number is projected to increase due to the growing reliance on virtual learning amidst the global pandemic. However, to maximize the benefits of this technology, it should be paired with human thought and judgment.

There is debate over the utilization of AI in education.

Personalized learning through AI in America

On one hand, AI-driven tutors increase the accessibility of affordable tutoring and offer personalized learning experiences like in the case of a high-school student, Myhanh, who experienced marked improvement in her math scores. On the other hand, critics argue that AI might lead to a diminished role for teachers and that the success of AI-education heavily relies on the quality of the algorithms, and poorly designed ones could hinder learning.

Despite its benefits, AI in education also has its downsides. The primary issue is the increased likelihood of incorrect responses. For instance, AI tools, despite their continuous improvements, are more prone to errors than conventional methods. Also, the absence of human interaction can lead to potential misunderstanding, as AI tools cannot interpret unconventional responses as effectively as a human tutor. Data privacy and ethical concerns are also a concern as these tools store considerable user information.

Despite the debates around total integration of AI in education, there’s also a discussion around educating students about the pros and cons of AI and ways to effectively integrate these tools into their learning. While AI has the potential to enhance personalized learning and make it more efficient, over-reliance could negatively impact critical thinking skills. Lastly, privacy concerns and potential reinforcement of existing inequalities in education remain as serious issues to be addressed.

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