Original title: From Early Warning to Action: A Data-Driven Framework for Integrating Early Warning Systems and MTSS in K–12 Education
Kenier Ramirez · September 2026
Schools collect a lot of information on student grades, attendance, and behavior to spot who needs extra help. To do this, they often use Early Warning Systems, which flag students showing signs of poor educational outcomes. Schools also use Multi-Tiered Systems of Support, which organize levels of academic, behavioral, and other help based on student need. Both setups depend on using data to make good choices. However, schools frequently run them as two separate systems. The problem is that spotting a student at risk does not automatically lead to coordinated action. When these systems stay disconnected, schools struggle to match identified student needs with organized interventions, consistent progress monitoring, and clear decision-making processes to support them.
A doctor has a list of patients who might have a condition, and a separate pharmacy that decides treatments. But the doctor's list never reaches the pharmacy. When a patient is identified, the pharmacy doesn't know to prepare the medicine. In this paper, the early warning system is like the doctor's list, and the support system is like the pharmacy—they are integrated so that identification leads to action.
Right now, when a school identifies a student who might be falling behind, that information often stays in one system and doesn't trigger a targeted support plan. This means students can slip through the cracks. By linking the early warning and support systems, schools can move from just spotting problems to actually solving them.
The abstract presents a conceptual framework rather than empirical results. It does not provide evidence of effectiveness, describe specific data sources, or outline implementation challenges. The framework's success would depend on school-level integration and real-world testing.
Ask anything about this paper. Answers come from its abstract, and say so when the abstract doesn't cover your question.
From Early Warning to Action: A Data-Driven Framework for Integrating Early Warning Systems and MTSS in K–12 Education — Kenier Ramirez — EdArXiv — doi:10.35542/osf.io/3bpwm_v1
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.