Trends & Frontiers
Trends & Frontiers
Computational thinking is not a museum piece. The four-pillar model was codified for a world where humans wrote every line of code; that world ended somewhere between 2023 and 2025. This section tracks what is changing right now — in industry practice, in classrooms, and in research labs — and what those changes mean for how you should invest your own thinking skills.
Pages in this section cite dated, external sources and describe the 2025–2026 landscape. Expect them to age faster than the rest of this knowledge base — that is the point of a trends section.
What’s in this section
| Page | Question it answers |
|---|---|
| The CT Landscape in 2026 | What are the big shifts reshaping computational thinking right now? |
| Agentic AI and CT | When AI agents write and run the code, what is left for human thinkers — and what is newly required? |
| CT Education Reform | How are schools and governments rewriting curricula around AI literacy, and is “learning to code” dead? |
| Research Frontiers | What are researchers discovering about measuring CT, teaching it with GenAI, and building verifiable AI systems? |
How to read these pages
- Practitioners: start with Agentic AI and CT — it is the most directly actionable.
- Educators and parents: CT Education Reform maps the policy landscape.
- Researchers and the curious: Research Frontiers points into the literature.
- Everyone else: The CT Landscape in 2026 is the executive summary.
When a trend here suggests a skill worth practicing, the Hands-on Labs section is where you practice it.