Leveraging Artificial Intelligence to Enhance Tutoring and Student Learning
Key Points
- Artificial intelligence (AI) is being used to develop a tool that provides tutors with a summary of their session, tips for improvement, and training recommendations.
- The tool is designed to analyze the interactions between tutors and students, identifying what works well and what can be improved.
- AI can help scale high-impact tutoring programs, making it possible to reach more students and accelerate educational equity.
What AI’s Telling Us about Tutoring’s Successful Components
American students in grades six through nine often become disengaged in math and feel like it’s "not for them." Tutoring has been shown to be effective in combating and reversing this disengagement, but the exact reasons why it works for some students and not others have been unclear.
Research to Practice
Tutors, coaches, and districts are now opting to record and transcribe tutoring sessions, and AI-powered analysis is being used to assess the transcripts. This analysis can support human analysis and create leading indicators that predict the effectiveness of tutoring program implementations.
The Innovative Potential
The potential of AI in education is unlocking a deeper understanding of what makes certain types of human-led instruction effective, and helping to deliver this most human-centric of interventions at scale.
Conclusion
The use of AI in tutoring has the potential to revolutionize the way we approach education. By leveraging AI to analyze the interactions between tutors and students, we can identify what works well and what can be improved, and provide personalized support to students. This can help to accelerate educational equity and ensure that all students have access to the resources they need to succeed.
Frequently Asked Questions
Q: What is the goal of using AI in tutoring?
A: The goal is to provide tutors with a tool that helps them understand what works well and what can be improved, and to use this information to provide personalized support to students.
Q: How does AI-powered analysis work?
A: AI-powered analysis uses machine learning algorithms to analyze the transcripts of tutoring sessions, identifying patterns and trends that can inform tutor training and student support.
Q: What are the benefits of using AI in tutoring?
A: The benefits include improved tutor training, increased student engagement, and more effective support for students who are struggling.
Q: How can AI help to scale high-impact tutoring programs?
A: AI can help to scale high-impact tutoring programs by providing a tool that can be used to analyze and improve tutoring sessions at scale, and by helping to identify the most effective tutoring practices and strategies.
Q: What are the limitations of AI-powered analysis?
A: The limitations of AI-powered analysis include the need for high-quality data, the potential for bias in the algorithms used, and the need for human oversight and review of the analysis.
