Handbook of Automated Essay Evaluation: Current Applications and New Directions
By
Mark D. Shermis (Contributor) Jill Burstein (Contributor)
Hardback
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Description
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About the Author
Mark D. Shermis, Ph.D. is a professor at the University of Akron and the principal investigator of the Hewlett Foundation-funded Automated Scoring Assessment Prize (ASAP) program. He has published extensively on machine scoring and recently co-authored the textbook Classroom Assessment in Action with Francis DiVesta. Shermis is a fellow of the American Psychological Association (Division 5) and the American Educational Research Association. Jill Burstein, Ph.D. is a managing principal research scientist in Educational Testing Service's Research and Development Division. Her research interests include natural language processing, automated essay scoring and evaluation, educational technology, discourse and sentiment analysis, English language learning, and writing research. She holds 13 patents for natural language processing educational technology applications. Two of her inventions are e-rater (R), an automated essay evaluation application, and Language MuseSM, an instructional authoring tool for teachers of English learners.
More Details
- Contributor: Mark D. Shermis
- Imprint: Routledge
- ISBN13: 9781848729957
- Number of Pages: 384
- Packaged Dimensions: 178x254mm
- Packaged Weight: 861
- Format: Hardback
- Publisher: Taylor & Francis Ltd
- Release Date: 2013-04-18
- Binding: Hardback
- Biography: Mark D. Shermis, Ph.D. is a professor at the University of Akron and the principal investigator of the Hewlett Foundation-funded Automated Scoring Assessment Prize (ASAP) program. He has published extensively on machine scoring and recently co-authored the textbook Classroom Assessment in Action with Francis DiVesta. Shermis is a fellow of the American Psychological Association (Division 5) and the American Educational Research Association. Jill Burstein, Ph.D. is a managing principal research scientist in Educational Testing Service's Research and Development Division. Her research interests include natural language processing, automated essay scoring and evaluation, educational technology, discourse and sentiment analysis, English language learning, and writing research. She holds 13 patents for natural language processing educational technology applications. Two of her inventions are e-rater (R), an automated essay evaluation application, and Language MuseSM, an instructional authoring tool for teachers of English learners.
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