Exploring the Effectiveness of Large‐Scale Automated Writing Evaluation Implementation on State Test Performance Using Generalised Boosted Modelling.

Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta‐analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness...

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Publicado en:Journal of Computer Assisted Learning Vol. 41; no. 2; pp. 1 - 25
Autores principales: Huang, Yue, Wilson, Joshua
Formato: research tables/charts Journal Article
Publicado: Wiley-Blackwell Apr2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2025
      vid: 41
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1111/jcal.70009
        184016307
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        atl: Exploring the Effectiveness of Large‐Scale Automated Writing Evaluation Implementation on State Test Performance Using Generalised Boosted Modelling.
      aug:
        au:
          Huang, Yue
          Wilson, Joshua
        affil: Measurement Incorporated, Durham, USA
      sug:
        subj:
          Academic Performance Evaluation
          Writing Evaluation
          Automation
          English Language
          Language Arts
          Program Implementation
          Schools, Elementary
          Schools, Middle
          Schools, Secondary
          Models, Educational
          Outcomes of Education
          Human
          Funding Source
          Utah
          Male
          Female
          Quasi-Experimental Studies
          Exploratory Research
          Qualitative Studies
          Comparative Studies
          Conceptual Framework
          Descriptive Statistics
          Learning Environment
          Learning Methods
          Male
          Female
      ab: Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta‐analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K–12 setting has lagged behind its rapid adoption. Further rigorous studies are needed to investigate the effectiveness of AWE within the U.S. K–12 context. Objectives: This study aims to investigate the usage and effectiveness of the Utah Compose AWE system on students' state test English Language Arts (ELA) performance in its first year of statewide implementation. Methods: The sample included all students from grades 4–11 during the school year 2015 in Utah (N = 337,473). Employing a quasi‐experimental design using generalised boosted modelling for propensity score weighting, the analysis focused on estimating the average treatment effects among the treated (ATT) of the AWE system. Results and Conclusions: The results showed that students who utilised AWE more frequently demonstrated improved ELA performance compared to their counterparts with lower or no usage. The effects varied across certain student demographic groups. This study provides strong and systematic evidence to support the hypothesis of causal inferences regarding AWE's effects within a large‐scale, naturalistic implementation, offering valuable insights for stakeholders seeking to understand the effectiveness of AWE systems.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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