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,
来源：
Discover Education | / 4卷 / 1期
关键词：
Predictive analytics; Data use; School policy; Early warning system; Dropout;
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).
引用
收藏
相关论文
共 50 条
  • [21] Early Warning for Stepwise Landslides Based on Traffic Light System: A Case Study in China
    Wu, Shuangshuang
    Tao, Zhigang
    Zhang, Li
    Chen, Song
    REMOTE SENSING, 2024, 16 (23)
  • [22] Intervention-Aware Early Warning
    Eswaran, Dhivya
    Faloutsos, Christos
    Mishra, Nina
    Naamad, Yonatan
    2019 19TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2019), 2019, : 1030 - 1035
  • [23] Study on the Design of Early Warning Release System Based on Digital Management of Early Warning Rules
    Ye, Lei
    Zhang, Longfei
    Liu, Chi
    Tang, Junlong
    2022 8TH INTERNATIONAL CONFERENCE ON HYDRAULIC AND CIVIL ENGINEERING: DEEP SPACE INTELLIGENT DEVELOPMENT AND UTILIZATION FORUM, ICHCE, 2022, : 625 - 636
  • [24] EWICUM, an early warning monitoring system for data presentation in the ICU
    Sveen, O
    Hogetveit, JO
    Aasen, AO
    4TH INTERNATIONAL CONGRESS ON THE IMMUNE CONSEQUENCES OF TRAUMA, SHOCK AND SEPSIS: MECHANISMS AND THERAPEUTIC APPROACHES, 1996, : 717 - 720
  • [25] Design of Early warning system of agricultural products in the Data Warehouse
    Zhou Lijuan
    Li Kang
    He Xiaoxu
    HIGH PERFORMANCE STRUCTURES AND MATERIALS ENGINEERING, PTS 1 AND 2, 2011, 217-218 : 656 - 661
  • [26] Early warning system
    Lewis, RS
    PHOTONICS SPECTRA, 1997, 31 (06) : 12 - 12
  • [27] Corporate Financial Early Warning System Based on Data Warehouse
    Zhang, Yuan
    Zhao, Shijun
    PROCEEDINGS OF 2009 CONFERENCE ON SYSTEMS SCIENCE, MANAGEMENT SCIENCE & SYSTEM DYNAMICS, VOL 9, 2009, : 113 - 117
  • [28] Early warning system
    Campbell, GA
    ABA JOURNAL, 1996, 82 : 30 - 30
  • [29] An Efficacy Study of a Ninth-Grade Early Warning Indicator Intervention
    Mac Iver, Martha Abele
    Stein, Marc L.
    Davis, Marcia H.
    Balfanz, Robert W.
    Fox, Joanna Hornig
    JOURNAL OF RESEARCH ON EDUCATIONAL EFFECTIVENESS, 2019, 12 (03) : 363 - 390
  • [30] Early warning system
    Fruitman, E
    ELECTRONICS WORLD, 2005, 111 (1826): : 43 - 43
12345