AI Capabilities and Learning Goals

Understanding AI’s capabilities and limitations ensures the technology aligns with educational goals and can be effectively integrated into learning environments.
Question mark icon for AI Capabilities and Learning Goal
What can the AI do that will advance learners toward their goals? What specific needs or gaps do you aim to address with the technology? Is the tool designed to meet those needs?

No technology is perfect but by asking the right questions about a technology and carefully considering our capacity to effectively leverage it, we can maximize impact.



Alignment with Goals:

Can you demonstrate how your tool’s AI capabilities align with specific educational goals and challenges?

Evidence of Effectiveness:

What evidence can you provide to show that your AI tool effectively addresses the identified educational needs?

Customization and Scalability:

How customizable and scalable is your AI solution to meet varying educational objectives, scales of implementation, and learner variability?



Enhancement of Learning:

How will integrating this AI tool into your current curriculum enhance or transform learning experiences?

Complementary Strategies:

What strategies will you employ to ensure that AI complements your teaching rather than detracts from or dominates it?


How prepared are you and your organization to support ongoing and optimal use of the technology?


Have you considered other solutions that might meet your needs and compared their risks and benefits to those associated with AI integration?


A community college aims to enhance retention in their blended adult education classes. The program procures a platform that uses AI to identify learners at risk based on their interaction patterns and quiz scores. An AI-driven analytics platform monitors adult learners’ engagement and academic performance. Instructors are given time and compensation to attend training, not only on mechanical use of the platform itself but also to develop their skills in data analytics and learner engagement. They then use the data provided by the AI to intervene with personalized support for students showing signs of disengagement or difficulty. Personalized interventions by instructors lead to improved retention and satisfaction rates among adult learners.
3 people working at a computer in a library.

The AI Integration Framework was adapted, with permission, from the "Top 6 Questions for GenAI EdTech Providers" resource developed by AI for Education.

This is one dimension of the AI Integration Framework.

Share This