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Session Type: Symposium
The specific objective of the symposium is achieving a better understanding of the synergies between task design and automated scoring in science assessments How can tasks be conceived to enable deep coverage of the construct, enable scalable production of test content, and be scorable in an efficient manner through planful modularity and reusability? The symposium consists of presentations from five independent projects illustrating a range of approaches to answering the question in the context of science inquiry skills.
Assessing Science Practices Using a Bayes Net - Michael Timms, Australian Council for Educational Research
Automatic Assessment of Students' Data Analysis Skills Across Physical Science Simulations - Michael A. Sao Pedro, Worcester Polytechnic Institute & Apprendis LLC; Raha Moussavi, Worcester Polytechnic Institute; Janice D. Gobert, Worcester Polytechnic Institute; Ermal Toto, Worcester Polytechnic Institute; Luc Paquette
Automated Scoring in Complex Tasks Through Multidimensional Item Response Theory–Bayes (mIRT-bayes), a Hybridized Measurement Model - Kathleen Scalise, ETS
Using Automated Scoring to Promote Knowledge Integration in Science - Marcia Linn, University of California - Berkeley; Libby Gerard, Mills College; Ou Lydia Liu, ETS; Kihyun "Kelly" Ryoo, University of North Carolina - Chapel Hill; Anna Rafferty, University of California - Berkeley; Jon Vitale, University of California - Berkeley
Conversation-Based Assessment of Science Inquiry Skills: Designing and Scoring Issues - Lei Liu, Educational Testing Service; Tanner Jackson, Educational Testing Service; Diego Zapata-Rivera, Educational Testing Service; Jiangang Hao, ETS; Isaac I. Bejar, ETS