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21.058 - Special Topics in Test Validity Research: Artificial Intelligence in Test Construction and Scoring
Fri, April 5, 4:20 to 6:20pm, Fairmont Royal York Hotel, Floor: Mezzanine Level, Confederation 3Session Type: Paper Session
Abstract
The Test Validity Research and Evaluation SIG this year put forth a call for proposals related to or utilizing Artificial Intelligence in testing and assessment. Each paper included in this session separately underwent standard review, and, thus, each paper represents complimentary and diverse perspectives in and examples of the use of AI for these purposes.
Sub Unit
Chair
Papers
Keystrokes, Edit Distance, and Grading Rules: Psychometric Properties of Short-Answer Items - David Lang, Stanford University; Ben Stenhaug, Stanford University; Rene kizilcec, Cornell University
Addressing Defensive Objections: Adversarial Examples in Automatic Essay Scoring - Klint Kanopka, Stanford University
Evaluating the Performance of Automated Essay Scoring in AzMERIT Assessments - Yuan Hong, American Institutes for Research; Stephan A. Ahadi, American Institutes for Research; Myung Hee Im, American Institutes for Research
Assessing Explanation, Argument, and Integrated Knowledge for the Next Generation Science Standards - Matthew Newman Gaertner, WestEd; Matt Silberglitt, WestEd; Kevin King, Utah State Office of Education; W. Christopher Brandt, IMPAQ International, LLC
Validity of Automated Scoring in Game-Based Assessment - Matt Silberglitt, WestEd; Kim Luttgen, WestEd; Melissa Rego, WestEd; Charlie Mahoney, WestEd; Andrew Grillo-Hill, WestEd; Daniel Brenner, WestEd