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Cited by 15Online Learning and AnalyticsStudent Assessment and FeedbackIntelligent Tutoring Systems and Adaptive Learning

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

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

Open access
Divjak, Blaženka, Maretić, Marcel·2017·Journal of information and organizational sciences
DOI 10.31341/jios.41.1.2
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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.

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Crossref · 10.31341/jios.41.1.2

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Metadata

Authors
Divjak, B., & Maretić, M.
Affiliations
University of Zagreb (HR)
ORCID
Venue
Journal of information and organizational sciences
Publisher
Faculty of Organisation and Informatics
Published
2017-06-16
Volume
41
Issue
1
Pages
21-34
ISSN
  • 1846-3312 (ISSN-L)
  • 1846-9418
DOI
10.31341/jios.41.1.2
OpenAlex
W2643879342
Cited by
15
References
2
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 5 · 2022: 2 · 2021: 2 · 2020: 1 · 2018: 1
FWCI
0.66
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Journal of information and organizational sciences (publishedVersion, cc-by-nc-nd)
  • Hrčak Portal of scientific journals of Croatia (University Computing Centre) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Hrvatska Zaklada za Znanost (IP-2014-09-7854)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Social Sciences › Education › Student Assessment and Feedback
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Keywords
learning analytics, peer assessment, assessment validity, assessment reliability, online learning platforms

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