Work

Learning Analytics for Peer-assessment

Year: 2017

Type: article

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.

Source: Journal of information and organizational sciences

DOI: 10.31341/jios.41.1.2

Authors: Blaženka Divjak, Marcel Maretić

Institution: University of Zagreb

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

Funder: Hrvatska Zaklada za Znanost