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Direct linkWilson, Joshua; Roscoe, Rod D. – Journal of Educational Computing Research, 2020
The present study extended research on the effectiveness of automated writing evaluation (AWE) systems. Sixth graders were randomly assigned by classroom to an AWE condition that used "Project Essay Grade Writing" (n = 56) or a word-processing condition that used Google Docs (n = 58). Effectiveness was evaluated using multiple metrics:…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Instructional Effectiveness
Levin, Stephanie; Tsang, Fannie; Selby, Trevor; Soike, Derek – AERA Online Paper Repository, 2017
This report stems from the Data Innovation in US Education initiative funded by the Bill & Melinda Gates Foundation. The work was led by the Preva Group, in partnership with IMPAQ and Periscopic. The initiative had three overarching goals: to support the Foundation's efforts to better understand the impact of their education investments; to…
Descriptors: Automation, Artificial Intelligence, Common Core State Standards, Alignment (Education)
Download full textSheehan, Kathleen M. – ETS Research Report Series, 2016
The "TextEvaluator"® text analysis tool is a fully automated text complexity evaluation tool designed to help teachers and other educators select texts that are consistent with the text complexity guidelines specified in the Common Core State Standards (CCSS). This paper provides an overview of the TextEvaluator measurement approach and…
Descriptors: Automation, Evaluation Methods, Reading Material Selection, Common Core State Standards
