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DTSTART:20070311T020000
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DTSTAMP:20260415T091625
DTSTART;TZID=America/Detroit:20260505T130000
DTEND;TZID=America/Detroit:20260505T140000
SUMMARY:Workshop / Seminar:SRC Seminar Series Presents: The Use of AI for Academic Testing: How Much Can We Trust the Results?
DESCRIPTION:Zoom: https://umich.zoom.us/s/97124958569\nMeeting ID: 971 2495 8569\nPasscode: 145795\n\nAbstract\nAI methodology has been proposed and investigated for use for aspects of academic testing that are expensive and time consuming such as test item development and scoring of open-ended responses. This presentation will summarize current applications of AI and these areas and highlight areas of concern for these uses. The focus of the presentation is on the accuracy of the results obtained from AI applications and methods used for obtaining measures of accuracy. The presentation is guided by standards for educational and psychological tests that have been developed by AERA\, NCME\, and APA\, and those produced by the International Test Commission (ITC). This is a very quickly changing area of development and investigation. Some ideas will be presented on the types of data that should be collected to document the types of AI procedures that are used and the quality of the results of the applications.\n\nBiography\nMark Reckase is a University Distinguished Professor Emeritus at Michigan State University where he has taught courses in IRT\, large scale assessment\, and advanced psychometric methods.  He has published in the areas of IRT\, CAT\, value-added modeling\, and setting standards on educational tests.  He has recently written a book on the theory of standard setting. Professor Reckase has been the president of NCME and the International Association for Computerized Adaptive Testing (IACAT)\, the vice president of Division D of AERA\, and the secretary of the Psychometric Society.  He has served as editor of the Journal of Educational Measurement and Applied Psychological Measurement.
UID:147751-21901927@events.umich.edu
URL:https://events.umich.edu/event/147751
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Education,Psychology
LOCATION:Institute For Social Research - 6050
CONTACT:
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