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Pregled bibliografske jedinice broj: 795984

Geometry for Learning Analytics


Divjak, Blaženka; Maretić, Marcel
Geometry for Learning Analytics // KoG : znanstveno-stručni časopis Hrvatskog društva za konstruktivnu geometriju i kompjutorsku grafiku, 19 (2015), 48-56 (podatak o recenziji nije dostupan, članak, znanstveni)


Naslov
Geometry for Learning Analytics

Autori
Divjak, Blaženka ; Maretić, Marcel

Izvornik
KoG : znanstveno-stručni časopis Hrvatskog društva za konstruktivnu geometriju i kompjutorsku grafiku (1331-1611) 19 (2015); 48-56

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
: taxicab geometry ; metrics ; learning analytics

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Matematika



POVEZANOST RADA


Ustanove
Fakultet organizacije i informatike, Varaždin

Uključenost u ostale bibliografske baze podataka:


  • MathSciNet
  • Zentrallblatt für Mathematik/Mathematical Abstracts