Towards Reliable and Valid Measurement of Individualized Student Parameters /

Towards Reliable and Valid Measurement of Individualized Student Parameters / Ran Liu and Kenneth R. K Koedinger.

Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student populati...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Authors: Liu, Ran, Koedinger, Kenneth R. K (Author)
Format: eBook
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 2017.
Subjects:
Data Analysis.
Intelligent Tutoring Systems.
Bayesian Statistics.
Pretests Posttests.
Educational Technology.
Models.
Reliability.
Validity.
Prior Learning.
Goodness of Fit.
High School Students.
Geometry.
Mathematics Instruction.
Learning Processes.
Identification.
Mastery Learning.
Individual Differences.
Skill Development.
Equations (Mathematics)
Honors Curriculum.
Inclusion.
Mathematics Skills.
General Education.
Comparative Analysis.

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