Resources, Instruction, and Research

TLDR

Researchers studying school resources and student achievement often use causal models that treat resources as the causal variable, but recent versions recognize that resource effects depend on how they are used. The authors propose that instruction, not resources themselves, contains the key causal agents driving student achievement. Conventional resources influence student achievement by enabling or constraining instructional causal agents, and because these interactions are hard to isolate with observational data, experimental trials of distinct instructional systems are needed to provide robust evidence.

Abstract

Many researchers who study the relations between school resources and student achievement have worked from a causal model, which typically is implicit. In this model, some resource or set of resources is the causal variable and student achievement is the outcome. In a few recent, more nuanced versions, resource effects depend on intervening influences on their use. We argue for a model in which the key causal agents are situated in instruction; achievement is their outcome. Conventional resources can enable or constrain the causal agents in instruction, thus moderating their impact on student achievement. Because these causal agents interact in ways that are unlikely to be sorted out by multivariate analysis of naturalistic data, experimental trials of distinctive instructional systems are more likely to offer solid evidence on instructional effects.