A survey of more than 700 educators worldwide finds that most have already changed their teaching and assessment methods because of AI. Oral exams, code comprehension, and project-based work are gaining ground. But nearly half of respondents say they lack proven examples for integrating AI into their courses.
AI coding tools like ChatGPT and GitHub Copilot can solve typical programming assignments in introductory courses, often scoring at the level of an average student. A new study now offers a broad look at how computer science educators around the world are responding. It was conducted by the "ACM Task Force on Generative AI and Programming Assessment," an expert group set up by the education committee of the international computing society ACM.
The task force surveyed 763 educators from 49 countries between May and October 2025. About 500 nearly complete questionnaires were analyzed. The findings show that 69 percent believe AI has changed the skills needed for software development. The top concern among educators is growing student dependency on technology (87 percent), followed by cheating and plagiarism (72 percent).
Teaching shifts from writing code to understanding it
Sixty-four percent of respondents have already changed how they teach. A thematic analysis of open-ended answers points in one direction: away from writing code from scratch, toward code comprehension, debugging, and problem-solving. Thirty-nine responses also mentioned teaching AI use and prompt engineering as explicit topics. Others demonstrate AI tools in class to show both their capabilities and their limits.
