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https://doi.org/10.31341/jios.41.1.2

Learning Analytics for Peer-assessment: (Dis)advantages, Reliability and Implementation

Blaženka Divjak ; Faculty of Organization and Informatics, University of Zagreb, Varaždin, Croatia
Marcel Maretić orcid id orcid.org/0000-0001-9880-8013 ; Faculty of Organization and Informatics, University of Zagreb, Varaždin, Croatia


Puni tekst: engleski pdf 658 Kb

str. 21-34

preuzimanja: 664

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Sažetak

Learning analytics deals with the data that occurs from students' interaction with ICT: collecting data, analyzing and reporting that can influence learning and teaching. Analysis of validity and reliability of assessment lags behind other applications of learning analytics. We present here mathematical modeling of learning analytics for assessment, especially for peer-assessment. In addition, we analyze and categorize students' recognition of advantages and disadvantages of peer-assessment. Finally implementations of reliability check of peer-assessment in Moodle Workshop module are explained.

Ključne riječi

Learning analytics; assessment; peer-assessment; metrics; reliability of peer-assessment; validity of peer-assessment

Hrčak ID:

183086

URI

https://hrcak.srce.hr/183086

Datum izdavanja:

16.6.2017.

Posjeta: 1.871 *