Computational Infrastructures for School Improvement: A Way to Move Forward

The instructional practices common in today's schools reveal a disconnect between instruction and evidence of the effects of that instruction on student learning. In this paper, we propose the creation of computational infrastructures that will help teachers make more informed decisions in their practice. These infrastructures formalize student and teacher routines to facilitate data collection and mining, in order to create actionable information. We then show an instance of such a computational infrastructure and describe its potential for improving instruction.

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