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Automated Writing Evaluation

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on March 24, 2015 at 10:06:39 pm
 

Convention Center Room: 701-A: Technology Showcase
CALL-IS InterSection (w/ SLW-IS)
Automated Writing Evaluation: When is it right for your students?
This intersection will address the challenges and opportunities facing instructors’ integration of automated writing evaluation in the second language classroom. The panelists will discuss their experiences with the use of automated writing evaluation in second language learning and the pedagogical implications of its use.

 

    

 

 

 

 

Time
Presenter
Title
Summary
Links to materials
1:00-1:05     

Aaron Schwartz      

 

 

Introduction    
1:05-1:25

 

Second language writers and the machine scoring of essays

This presentation will address the use of machine scoring for placement and in-class assessment of second language writers and will make recommendations about which programs, if any, might be practical, effective, and principled.

 
1:27-1:47         

 Li Zhang, Shanghai Jiaotong University, China (zhangli@sjtu.edu.cn)

Automated essay evaluation: Past, present and prospect

This paper gives an overview of the principles, features and functions of the most well-known automated essay scoring systems, including PEG, IEA, e-rater & Criterion, IntelliMetric & MY Access!, and BETSY. Reliabilities of these systems are analyzed, and strengths and weaknesses of each of the systems are compared and contrasted. It also introduces the automated essay scoring system—JUKU, which is used extensively in China. The paper analyzes the future development of AES systems and summarize the orientation of development in seven aspects: design of AES systems that helps improve both learners’ cognitive ability and communicative competence; shift of emphasis from surface features of grammar and structure to underlying features of critical thinking and rhetorical effect; expansion of subject areas, with focus on both English language arts and scientific reasoning; development of a new genre of AES software that can provide meaningful and effective formative feedback to assist writing process; use of machine learning technology to develop an open AES system that can address new problems automatically; integration and cooperation of various disciplines of studies in the field of AES.

 
1:49-2:09   

Zhi Li, Iowa State University, USA (zhili@iastate.edu)

     
2:11-2:31   

Dianna Lippincott,

Arizona State University, USA (Dianna.Lippincott@asu.edu)

     
2:11-2:31   

Beatriz Fuentes-Anderson, Arizona State University, USA (mbfuente@asu.edu)

     

 

Presenters

 

Deborah Crusan is professor of TESOL/Applied Linguistics at Wright State University, Dayton, OH. Her work has appeared in Assessing Writing, English for Specific Purposes, Language Testing, The Companion to Language Assessment, The Encyclopedia of Applied Linguistics, The Norton Field Guide, and edited collections about second language writing. Her research interests include writing assessment particularly for placement of second language writers, directed self-placement and its consequences for second language writers, and the politics of assessment including machine scoring. Her 2010 book, Assessment in the Second Language Writing Classroom, was published by University of Michigan Press. 

 

 

 

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