Geometry for Learning Analytics (CROSBI ID 224247)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Divjak, Blaženka ; Maretić, Marcel
engleski
Geometry for Learning Analytics
Learning analytics is focused on the educational challenge of optimizing opportunities for meaningful learning. Assessment deeply influences learning, but at the same time data about assessment are rarely considered and utilized by learning analytics. Current approaches to analysis and reasoning about peerassessment lack rigor and appropriate measures of reliability assessment. Our paper addresses these issues with a geometrical model based on the taxicab geometry and the use of the scoring rubrics. We propose and justify measures for calculation of the final grade in peer-assessment and related inter-rater and intra-rater reliability measures. We present and discuss a geometrical model for two important peer-assessment scenarios.
taxicab geometry ; metrics ; learning analytics
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Podaci o izdanju
19
2015.
48-56
objavljeno
1331-1611
1846-4068