Methods for Assessing Inquiry: Machine-learned and Theoretical GIFT VPA

Author(s):

LaMar, Michelle M.; Baker, Ryan; Greiff, Samuel

Publication Year:

2017

Source:

Sottilare, Robert; Graesser, Arthur; Hu, Xiangen; Goodwin, Gregory (eds.) Design Recommendations for Intelligent Tutoring Systems, Volume 5: Assessment Methods. Orlando, FL: US Army Research Laboratory, Aug 2017, p137-153

Document Type:

Chapter

Page Count:

17

Subject/Key Words:

Inquiry-Based Learning, Machine Learning, Generalized Intelligent Framework for Tutoring (GIFT), Machine Scoring, Item Design, Performance Indicators, Simulation Studies, Intelligent Tutoring, Science Inquiry, Science Assessment, Virtual Performance Assessments (VPA), Elementary Secondary Education

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• https://gifttutoring.org/documents/120