Naslov
Learning Analytics for e-Assessment: The State of the Art and One Case Study

Autori
Divjak, Blaženka ; Maretić, Marcel

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

Izvornik
Central European Conference on Information and Intelligent Systems / Hunjak, Tihomir ; Kirnić, Valentina - Varaždin : Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2015, 81-87

Skup
Central European Conference on Information and Intelligent Systems

Mjesto i datum
Varaždin, Hrvatska, 23.09.2015. - 25.09.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
learning analytics ; assessment ; peer-assessment ; metrics ; reliability and validity of peer-assessment

Sažetak
Learning analytics deals with the data that occurs from students' interaction with ICT: collecting data, analyzing and reporting can influence learning and teaching. Application of learning analytics for analyzing assessment has lagged behind other areas of application. We argue here for the need for learning analytics for assessment with a special focus on peer and self-assessment. All forms of assessment should encourage deep learning. Reliability and validity of peer assessment will be discussed. In this context, a case study will be presented.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA