Featured report
AI in Higher Education: Teaching Without a Map
We asked 100s of teachers how they’re using AI. The data exposed a gap: surface-level adoption is widespread, but deeper AI integration and institutional support are lagging behind the skills graduates need. So, we asked four questions:
- Adoption: How widespread is the adoption of AI tools in the classroom?
- Alignment: Are institutions and industry keeping pace with this rapid adoption?
- Application: What are the primary use cases and obstacles for AI in teaching today?
- Skills: Where do the most critical AI skill gaps lie for educators?
What you'll learn about AI in education
AI literacy is the fastest-growing skill employers are hiring for, but most teachers haven't received guidance on how to teach it. This report highlights where the gaps are, why they exist, and how to close them.
- What AI skills teachers feel confident with, and when they face a 'confidence cliff'
- The biggest AI adoption barriers facing teachers today
- The transformative impact of AI upskilling on teachers
- How teachers can bring AI into the classroom today, for free
Key data points
of teachers use AI daily
of teachers have not received formal AI training from their schools
believe their school isn’t adequately preparing students for the impact of AI on their futures.
feel confident developing AI systems from scratch
more likely for teachers to be "very literate" in developing AI systems who have received AI training
AI literacy is fastest-growing skill C-level executives need from their workforce (Data & AI Literacy Report 2025)
Create your free DataCamp Classroom today
A free AI upskilling and teaching platform all educators can access. DataCamp Classrooms helps teachers incorporate AI into how students learn, no matter what or who they teach.
