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Towards Scalable Assessment of Performance-Based Skills: Generalizing a Detector of Systematic Science Inquiry to a Simulation with a Complex Structure

Authors :
Sao Pedro, Michael A.
Gobert, Janice D.
Betts, Cameron G.
Source :
Grantee Submission. 2014Paper presented at the Proceedings of the International Conference on Intelligent Tutoring Systems (2014).
Publication Year :
2014

Abstract

There are well-acknowledged challenges to scaling computerized performance-based assessments. One such challenge is reliably and validly identifying ill-defined skills. We describe an approach that leverages a data mining framework to build and validate a detector that evaluates an ill-defined inquiry process skill, designing controlled experiments. The detector was originally built and validated for use with physical science simulations that have a simpler, linear causal structure. In this paper, we show that the detector can be used to identify demonstration of skill within a life science simulation on Eco- systems that has a complex underlying causal structure. The detector is evaluated in three ways: 1) identifying skill demonstration for a new student cohort, 2) handling the variability in how students conduct experiments, and 3) using it to determine when students are off-track before they finish collecting data. [This paper was published in: "Proceedings of the International Conference on Intelligent Tutoring Systems," 2014.]

Details

Language :
English
Database :
ERIC
Journal :
Grantee Submission
Publication Type :
Report
Accession number :
ED616572
Document Type :
Reports - Research<br />Speeches/Meeting Papers