Routledge International Handbook of Automated Essay Evaluation
Product details
- ISBN 9781032502564
- Weight: 1300g
- Dimensions: 174 x 246mm
- Publication Date: 27 Jun 2024
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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The Routledge International Handbook of Automated Essay Evaluation (AEE) is a definitive guide at the intersection of automation, artificial intelligence, and education. This volume encapsulates the ongoing advancement of AEE, reflecting its application in both large-scale and classroom-based assessments to support teaching and learning endeavors.
It presents a comprehensive overview of AEE's current applications, including its extension into reading, speech, mathematics, and writing research; modern automated feedback systems; critical issues in automated evaluation such as psychometrics, fairness, bias, transparency, and validity; and the technological innovations that fuel current and future developments in this field. As AEE approaches a tipping point of global implementation, this Handbook stands as an essential resource, advocating for the conscientious adoption of AEE tools to enhance educational practices ethically. The Handbook will benefit readers by equipping them with the knowledge to thoughtfully integrate AEE, thereby enriching educational assessment, teaching, and learning worldwide.
Aimed at researchers, educators, AEE developers, and policymakers, the Handbook is poised not only to chart the current landscape but also to stimulate scholarly discourse, define and inform best practices, and propel and guide future innovations.
Mark D. Shermis was the principal investigator and academic advisor for the Automated Student Assessment Prize. He is currently Principal for Performance Assessment Analytics, LLC. Dr. Shermis has also held faculty and administrative positions at the University of Houston-Clear Lake, University of Akron, University of Florida, Florida International, Indiana University-Purdue University Indianapolis (IUPUI), and the University of Texas, USA. He is a frequently cited expert on machine scoring and co-author (with Frank DiVesta) of Classroom Assessment in Action.
Joshua Wilson is Associate Professor in the School of Education at the University of Delaware, USA. He researches ways that automation and artificial intelligence can improve assessment, teaching, and learning with a specific focus on automated feedback, automated scoring, and automated writing evaluation. Notably, his research has attracted the support of sponsors such as the Institute of Education Sciences of the U.S. Department of Education, the Spencer Foundation, and the Bill and Melinda Gates Foundation.
