Educational Testing Service

Chen Li

Paul Douglas Deane

Mo Zhang

Jiangang Hao

Randy E Bennett

Eowyn Winchester

Theresa Richter

Amanda Roth

Hongwen Guo

Peter Van Rijn

A method comprising accessing a first data structure that is associated with a first product prepared by a student and that includes first process data associated with a process performed by the student in generating the first product, analyzing the first data structure to generate a first characterization score based on the first product and the first process data, accessing a second data structure that is associated with a second product prepared by the student and that includes second process data associated with a process performed by the student in generating the second product, analyzing the second data structure to generate a second characterization score based on the second product and the second process data, and calculating a skill level change metric based on the first characterization score and the second characterization score indicating a change in ability level of the student over a course of the scenario-based assessment.

Platform for characterizing performance on a scenario-based assessment to school differences in curriculum

Systems and methods for defining and using an optimal burst boundary threshold to assess the reliability of a manual/automatic writing score are presented. Keystroke data, including inter-key interval data, such as inter-word interval data, may be gathered from writings. Clustering analyses may be performed on the inter-key interval data to determine an optimal number of bursts for the writings. An optimal burst boundary may be determined from the optimal number of bursts. Other burst-related measures and statistics, including the average and maximum burst lengths, may be determined from the writings based on the optimal burst boundary threshold. A score may be received for each of the writings. A validation indication metric may be generated for each of the writings based on the received score and the optimal burst boundary threshold. The resulting measures and statistics may be used or applied in different ways and provide personalized feedback as learning analytics.

Defining personalized writing burst measures of translation using keystroke logs

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Princeton, NJ, United States of America

Chen Li