How AI Can Transform Education: Enhancing Learning with AI

Updated October 7, 2025

The AI revolution is here. While its impact is already undeniable, the true scope of its influence remains to be seen — especially as adoption skyrockets. Gartner predicts a dramatic increase in enterprise AI use, with 80% harnessing GenAI by 2026 (up from less than 5% in 2023!).

For organizations looking to deploy Artificial Intelligence solutions effectively, key considerations are emerging: How do you choose the right LLMs? Ensure data security? Measure success? Forward-thinking leaders are creating comprehensive AI strategies that address both the present and the future potential of this transformative technology.

“AI is the new electricity.”
— Andrew Ng, Founder and CEO of Landing AI, Co-founder of Coursera

The importance of creating an AI blueprint

A crucial part of this journey is understanding the unique benefits that AI brings to your specific industry and how it integrates with your business's core value chain. Beyond simply adopting AI, organizations should develop a well-structured blueprint for its integration. At this defining juncture in the convergence of AI and education, there are naturally a variety of responses to AI technology; while some institutions hesitate, others embrace it wholeheartedly. But striking the right balance can turn AI into a potent learning aid.

This blog dives into the practicalities of building a framework for using AI effectively, empowering students and faculty alike.

Key challenges educational institutions face

Colleges and universities face multiple challenges common to most organizations looking to adopt AI effectively: 

• Ensuring the secure use of AI applications while providing adequate oversight

• Limited proficiency among stakeholders, including faculty and students 

• Concerns regarding data privacy and the reliability of consumer-grade AI tools

Devs.ai: An AI solution for all

To address these challenges, educational institutions should look at Devs.ai, an AppDirect company. The generative AI platform empowers businesses to build and manage custom AI agents trained on their own data—all with enterprise-grade security.

Devs.ai removes AI complexity by providing an all-in-one, agentic AI development, and management platform. Devs.ai enables organizations to access all the top LLMs like OpenAI, Anthropic, and Gemini from a single platform.

"AI is a game-changer for organizations, but building and scaling AI solutions is complex. Devs.ai makes it easy to create, launch, and manage powerful AI agents without the usual headaches. Everything runs on private Azure instances. You own your data, and we handle the messy parts so you can focus on making AI work for you. Simple, secure, no BS."
—Aaron Bailey, General Manager, Devs.ai

Agentic AI top benefits 

But, what is agentic AI? Agentic AI refers to systems designed to perform tasks autonomously, taking actions typically associated with human agents or specialists. Read more in the Devs.ai blog, Dismantling AI’s complexity. 

What Devs.ai includes

1. 50+ LLMs, one platform: Streamlined access to leading LLMs from one single platform

2. Ability to create unlimited AI agents: Easily create, deploy, and manage sophisticated AI agents using intuitive, no-code agentic AI tools

3. Optimized AI management: With Devs.ai, users can easily swap the LLMs their agents are trained on and automate data updates, all without integration challenges, ensuring agents are always trained on the right models with the latest knowledge

4. Enterprise-grade security: With Devs.ai users own their data. LLMs cannot train off the data inputted and top models run on private Azure instances for enhanced security

5. Effective governance controls: Devs.ai users have thorough control over AI usage within the organization, ensuring adherence to data governance norms and maintaining a secure AI environment

Integrating AI in assessments

Colleges and universities should consider putting in place a dual framework for assessments, similar to the University of Sydney, to distinguish between traditional and AI-enhanced tasks:

- Lane 1 Assessments: Focused on traditional tasks like in-class essays and tests to develop critical thinking and writing skills.

- Lane 2 Assessments: Encouraged the use of AI to enhance creativity, productivity, and innovative problem-solving.

How to use AI to enhance learning in creative writing and math

• Creative writing: Students can collaborate with their AI applications to enhance their creative writing skills. AI tools assist in brainstorming plot lines, developing characters, and refining chapters, allowing students to push their creative boundaries.

• Math class innovation: AI can be utilized to design whiteboard activities and explore three-dimensional concepts, transforming traditional math instruction into visually engaging experiences.

Empowering faculty and staff

Faculty and staff are also encouraged to embrace AI as a versatile tool for various tasks:

• Enhancing productivity: AI can be a go-to resource for tasks involving spreadsheets, formula creation, and calculations.

• Streamlining communication: AI tools support tasks ranging from newsletters to lesson planning, enhancing overall productivity.

The Impact: Amplifying confidence and productivity

Implementing AI within educational institutions provides clear benefits in AI proficiency and productivity among staff. One college increased AI proficiency from 21% to 43% within 10 months, and 70% of staff reported increased productivity due to AI integration, up from 46% before the implementation.

5 strategies to use AI effectively

Here are some key strategies for schools starting their AI journey include:

1. Develop a vision: Define how AI aligns with your specific educational goals and values. Is the goal to personalize learning, support teachers with administrative tasks, or foster student creativity? A clear vision will guide your AI initiatives toward meaningful outcomes.
2. Study AI usage across audiences: Understand how students, faculty, and staff can benefit from AI tools within their roles. Conduct surveys, focus groups, and pilot programs to gather feedback and refine your approach.
3. Test and refine implementation plans: Don’t jump into large-scale rollouts without careful planning and testing. Start with pilot programs in specific areas and gather data on effectiveness and user experience. Adjust your approach based on real-world feedback.
4. Continuously iterate for responsible AI: AI is constantly evolving. Establish a culture of ongoing learning and improvement. Stay updated on best practices, ethical considerations, and new AI developments to maximize the positive impact of your initiatives.
5. Choose the Right LLM: If you’re building your own AI tools, selecting the right large language model LLM is critical. Consider the LLM’s size, capabilities (e.g., text generation, data analysis), efficiency, data security protocols, and its alignment with your budget and ethical standards.

Dive into our in-depth blog post, A Framework for Choosing the Right LLM, for more expert insights and practical tips.

Take the plunge

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