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Stanford study shows success of different programming styles in computer science class

The Graduate School of Education and the Computer Science Department engaged in a joint research project to advance new approaches to teaching.

After conducting automated analyses of what students do from moment to moment as they learn to write computer programs, Stanford University researchers were able to predict — with surprising accuracy — the students’ final grades. What makes the feat more remarkable is that the projections were based on learning patterns identified from the students’ work early in the course.

The work spotlights the potential for future classrooms to have instructors who can see how well their students are learning — as the material is being taught — and then adjust their lesson in real-time to meet better the needs of their students.

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