The tie of data to intervention: a case study of the Montana early warning system

被引：0

作者：

Robin Clausen ^{[1
]}

机构：

[1] Montana Office of Public Instruction, PO Box 803, Big Timber, 59011, MT

来源：

Discover Education | / 4卷 / 1期

关键词：

Data use; Dropout; Early warning system; Predictive analytics; School policy;

D O I：

10.1007/s44217-025-00420-x

中图分类号：

学科分类号：

摘要：

Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS data from the past 10 years to see if it is effectively used in interventions whose outcomes demonstrate a linkage back to the data, this case study addresses this data use (the first step in the logic model of intervention). © The Author(s) 2025.

引用

共 10 条

[1]

Using early warning system data to keep students on track toward college and careers: A primer for state policy makers, (2013)

[2]

Marken A., Scala J., Husby-Slater M., Davis G., Early Warning Intervention and Monitoring System Intervention Guide, (2020)

[3]

Bruch J., Gellar J., Cattell L., Hotchkiss J., Killewald P., Using data from schools and child welfare agencies to predict near-term academic risk, (2020)

[4]

Frazelle S., Nagel A., A practitioner’s guide to implementing early warning systems, (2015)

[5]

Koon S., Petscher Y., Comparing methodologies for developing an early warning system: classification and regression tree model versus logistic regression, (2015)

[6]

O'Cummings M., Therriault S., From accountability to prevention: early warning systems put data to work for struggling students, (2015)

[7]

Faria A., Sorenson N., Heppen J., Bowdon J., Taylor S., Eisner R., Foster S., Getting students on track for graduation. Impacts of the Early Warning Intervention and Monitoring System after one year, (2017)

[8]

Knowles J., Of needles and haystacks: building an accurate statewide dropout early warning system in Wisconsin, J Edu Data Min, 7, 3, pp. 18-67, (2015)

[9]

Jerald C., Identifying potential dropouts: key lessons for building an early warning system, (2006)

[10]

Bruce M., Horning Fox J., Balfanz R., On Track for success: the use of early warning indicator and intervenetion system to build a grad nation, (2011)

← 1 →