May 23, 2025
AI agents are like digital assistants that understand your natural-language prompts and carry out tasks for you. They can write code snippets, explain concepts, generate examples, and even debug small errors—all without you leaving your browser.
For education, these agents can help students explore ideas interactively by answering questions, clarifying tricky points, and providing examples giving students a deeper understanding and exploration of the subject matter. Instructors can lean on them for course design, using their programming ability to enhance their course content.
Depending on your prompt, AI agents can:
• Translate plain-English descriptions into runnable code or demos
• Suggest improvements, refactorings, or alternate approaches
• Generate context-aware examples that fit your current project setup
AI Agents Web Presentation by LDDI
Replit AI
Replit AI is an example of an AI agent which acts as a developer, using “vibe coding” (the act of AI software programming) to assist you on the technical development. Instead of wrestling with downloads or hunting through docs, you just tell it in plain English what you want—“show me how to make a simple quiz,” or “draw a chart of my data” and it gives you a working snippet you can tweak and run right away.
If you hit a roadblock, you can point at any line and ask, “What’s going on here?” or “Why won’t this run?” and it can break the technical problems down for you in everyday language.
For instructors, this means more time exploring ideas and less time wrestling with setup or interactive app development. Instructors can lean on it for basic Q&A, so class time stays focused on big-picture concepts and cool projects instead of the little frustrating hiccups.
- Open your workspace
You land in a blank Replit project—no installs, no waiting. On the side you can use the AI chat pane to begin working. - Ask for a starter app
Type your project idea into the prompt box. The AI writes code in HTML, CSS, and JS while giving you a step-by-step walkthrough of its process while working. - Preview and tweak
Hit “Run” and your designed app pops up in the project pane. If you want to add more features or tasks, it will update each one systematically and it all works live in the same tab. - Point-and-ask explanations
Highlight any block of code and ask “what’s this doing?” The agent will break it down in plain English: “This loop finds the clicked item’s index, then filters it out of the array.” This helps with debugging and overall design understanding - Refactor on the fly
Ask “Can you clean this up?” and it renames variables, adds comments, even suggests turning the loop into a handy array method. Your code stays neat while you keep the creative flow. - Explore more possibilities
The complete code is available for upload to GitHub immediately, as well as available to be deployed directly through Replit, either by using their servers, or hosting it on your own server with a custom domain.
View an example of Replit AI for education by Matt Palmer from Replit.
Activity Sheet
Learn how to design, create, test, and troubleshoot an interactive web-app with Replit AI. Learn how to use "vibe-coding" with Replit to effectively create an application.
Replit AI Activity Sheet [PDF]
Additional Resources
AI Agent Tools:
Reading:
- Gutowska, Anna. AI agents: Transforming industries with intelligence. IBM Think. https://www.ibm.com/think/topics/ai-agents
- Amazon Web Services. What is an AI agent? AWS. https://aws.amazon.com/what-is/ai-agents/
- Ravaglia, R. (2024, December 26). AI agents will shape every aspect of education in 2025. Forbes. https://www.forbes.com/sites/rayravaglia/2024/12/26/ai-agents-will-shape-every-aspect-of-education-in-2025/
- Liu, Danny. (2023, July 14). How Sydney educators are building AI doubles of themselves to help their students. Teaching @Sydney. https://educational-innovation.sydney.edu.au/teaching@sydney/how-sydney-educators-are-building-ai-doubles-of-themselves-to-help-their-students/
- Mollick, E. (2023, June 12). Assigning AI: Seven ways of using AI in class. One Useful Thing. https://www.oneusefulthing.org/p/assigning-ai-seven-ways-of-using. [Originally sourced from UBC’s CTLT].
- Furze, L. (2023, January 26). Teaching AI ethics. Leon Furze. https://leonfurze.com/2023/01/26/teaching-ai-ethics/
- UBC Learning Design. (2025, January 8). Artificial intelligence and sustainability. Learning Design Views. https://learningdesignviews.educ.ubc.ca/artificial-intelligence-and-sustainability/
- Kartaca. (2023, October 4). Empowering education with Vertex AI: A case for accessible and personalized learning.
https://kartaca.com/en/empowering-education-with-vertex-ai-a-case-for-accessible-and-personalized-learning/
This work is licensed under a Creative Commons Attribution 4.0 License.