Institutions do not need to transform everything at once. A better approach is to start small, test carefully, and document what works. International educators do not need to become AI engineers. But they do need enough AI literacy to make informed decisions. In this blog, we’ll cover 9 key resources that international educators can use to understand AI and a practical 90-day guide to leveraging AI in international education.
9 AI Learning Resources for International Educators
The following resources can help administrators, faculty, and program leaders keep learning.
Microsoft Generative AI for Beginners
A free learning series introducing generative AI concepts, tools, and practical applications.
OpenAI Academy
A learning resource for understanding and applying AI tools across different contexts.
Google AI Essentials
A course designed to help professionals understand and use AI more effectively in daily work.
Anthropic Academy
Educational resources focused on using Claude and understanding responsible AI practices.
One Useful Thing
A practical blog by Ethan Mollick exploring AI use in education, work, and creativity.
Rhetorica
A resource focused on rhetoric, writing, and AI literacy.
The AI Daily Brief
A daily AI news and analysis resource.
Everyday AI
A podcast and resource focused on practical AI use for professionals.
The Pulse
A resource tracking developments in AI and education.
90-Day Approach to Using AI in International Education
First 30 Days: Map the Workflows
Identify where staff time is being consumed. Look for repetitive, manual, or communication-heavy areas such as student FAQs, pre-departure emails, advising summaries, application reminders, destination briefings, faculty-led program drafts, partner follow-up, student survey analysis, and re-entry reflection.
Do not start with the tool. Start with the workflow.
Days 31–60: Pilot One Low-Risk Use Case
Choose one useful but low-risk use case. Good pilots include drafting a pre-departure FAQ, creating reflection prompts, summarizing student survey responses, building a communication calendar, drafting advising email templates, creating a packing checklist, or generating faculty-led program description drafts.
Avoid starting with sensitive areas such as visa decisions, crisis response, student health information, legal compliance, disciplinary matters, or high-stakes safety decisions.
Days 61–90: Create Guardrails and Scale Carefully
If the pilot works, document the process. Clarify what AI can be used for, what it should not be used for, what requires human review, what data should never be entered, who approves final outputs, and how accuracy will be checked.
Responsible AI adoption is not about moving fast for the sake of moving fast. It is about learning carefully, improving real workflows, and keeping humans accountable for the decisions that matter.