Speakers
Description
Vibe coding is not about learning to program, it’s about using AI through clear, conversational instructions. This practice-oriented session shows how teachers can move beyond single prompts to design simple AI workflows to create realistic conversations, personalised feedback, and multi-step tasks. Co-presented by a non-programmer and an app developer, the session offers practical demonstrations, privacy-aware strategies, and clear first steps that teachers can use immediately.
Short summary
Vibe coding is not about learning to program, it’s about using AI through clear, conversational instructions. This practice-oriented session shows how teachers can move beyond single prompts to design simple AI workflows to create realistic conversations, personalised feedback, and multi-step tasks. Co-presented by a non-programmer and an app developer, the session offers practical demonstrations, privacy-aware strategies, and clear first steps that teachers can use immediately.
Keywords
Vibe coding
LLMs
Teacher workflows
AI
Abstract
Recent discussion of AI in language education often focuses on generating code or single-prompt interactions with large language models (LLMs). In practice, however, effective use increasingly involves chaining instructions, managing context window limits, and combining multiple tools and services. This presentation introduces vibe coding—an approach that uses conversational instructions to orchestrate AI tools, treating LLMs not as code generators but as components in flexible, instruction-driven workflows.
The session is co-presented by a language professional with no programming background and a developer who builds educational applications. Together, we demonstrate how vibe coding allows teachers to design powerful AI-assisted workflows using natural language instructions rather than traditional code. Examples relevant to JALT professionals include generating realistic multi-character conversations, providing personalised feedback at scale, and managing iterative tasks.
We also address what vibe coding is not: it does not require learning a programming language, nor does it depend on a single AI platform. Instead, it enables practitioners to combine local tools with online services, reducing vendor lock-in and improves privacy by keeping sensitive data under user control.
Participants will see practical demonstrations of simple workflows, learn how to judge when a task requires multiple steps, and choose appropriate tools for their context such as generating realistic multi-character conversations, or provide personalised feedback at scale. Attendees will leave with a framework for building AI workflows and concrete first steps that they can implement immediately. No prior programming experience is required.
Special scheduling requests
One presenter lives far away from convenient transportation making a Sunday presentation difficult
| Scheduling preference | Anytime on Saturday |
|---|---|
| Title | Vibe coding: Practical AI workflows for language teachers |