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

Blaženka Divjak, Marcel Maretic

Abstract


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.


Keywords


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

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Journal of Information and Organizational Sciences (Online)
ISSN 1846-9418 (online)
ISSN 1846-3312 (print)