With advances in artificial intelligence, new technologies are emerging that have the potential to transform how people learn.
One area showing great promise is AI tutoring systems – software platforms that use Artificial technology to provide personalized instruction, feedback, and support to students as they work to master new skills and concepts.
These platforms may help address challenges like a lack of access to expert teachers or the need for flexible learning options. It could make high-quality education more widely available.
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Most AI coaching systems work through an interactive process where students can access lessons, receive step-by-step guidance, practice exercises, and receive feedback on their progress.
It uses techniques like natural language processing to understand learner’s questions and responses. It also analyzes individuals’ patterns of engagement, and correct and incorrect answers to personalize the learning experience.
For example, if a child gets a particular type of math problem wrong multiple times, it may modify future lessons to spend more time on that concept and provide additional examples or explanations until mastery is achieved.
It also tracks individuals’ strengths and weaknesses over time to target instruction most effectively. Some platforms even generate new problems on the fly to keep lessons fresh and engaging for them at different skill levels.
The personalized, adaptive nature of AI tutoring holds promise for improving learning outcomes in several ways:
This improves access for them in remote areas or those needing flexible schedules.
Acceleration of learning. Coaching systems may help students master skills and concepts more quickly compared to traditional classroom-only models, by zeroing in on knowledge gaps.
Do You Know?
AI in the education market is expected to grow at a CAGR of 10% from 2023 – 2032.
If effective, the future of AI tutoring holds promise to help:
Of course, Artificial Intelligence education also faces challenges around student engagement, explaining complex concepts, and evaluating broader competencies beyond rote skills. And no technology should aim to fully replace the role of expert human teachers.
With further innovation and study of learning outcomes, it holds promise as a tool to scale access to high-quality, personalized education.
While promising, there remain several open challenges for AI tutoring platforms to reach their full potential:
Continued progress in these open challenges will help determine how widely and effectively AI tutoring platforms can be deployed. With a student-centered approach and judicious development, these platforms show promise for expanding educational access and improving outcomes worldwide.