Naslov
Assessment Analytics for Peer-Assessment: A Model and Implementation

Autori
Divjak, Blaženka ; Grabar, Darko ; Maretić, Marcel

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Learning Analytics Curriculum and Program Quality Improvement / Greer, Jim ; Molinaro, Marco ; Ochoa, Xavier ; McKay, Timothy - Aachen : CEUR Workshop Proceedings (CEUR-WS.org), 2016, 27-31

Skup
Learning Analytics Curriculum and Program Quality Improvement

Mjesto i datum
Edinburgh, Ujedinjeno Kraljevstvo, 26.04.2016. - 30.04.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
peer-assessment ; assessment ; analytic tools for learners ; assessment learning analytics

Sažetak
Learning analytics should go beyond data analysis and include approaches and algorithms that are meaningful for learner performance and that can be interpreted by teacher and related to learning outcomes. Assessment analytics has been lagging behind other research in learning analytics. This holds true especially for peer- assessment analytics. In this paper we present a mathematical model for peerassessment based on the use of scoring rubrics for criteriabased assessment. We propose methods for the calculation of the final grade along with reliability measurues of peerassessment. Modeling is motivated and driven by the identi- fied peer-assessment scenarios. Use of peer- assessment based on a sound model provides benefits of the deeper learning while addressing the issues of validity and reliability.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Informacijske i komunikacijske znanosti

POVEZANOST RADA