Learning Analytics for Peer-assessment: (Dis)advantages, Reliability and Implementation
Learning Analytics for Peer-assessment: (Dis)advantages, Reliability and Implementation
Author(s): Blaženka Divjak, Marcel MaretićSubject(s): Higher Education , ICT Information and Communications Technologies
Published by: Fakultet organizacije i informatike, Sveučilište u Zagrebu
Keywords: learning analytics; assessment; peer-assessment; metrics; reliability of peer-assessment; validity of peer-assessment
Summary/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.
Journal: Journal of Information and Organizational Sciences
- Issue Year: 41/2017
- Issue No: 1
- Page Range: 21-34
- Page Count: 14
- Language: English
