Assessing the validity of a learning analytics expectation instrument: A multinational study-Reference-Cited by-同舟云学术

Assessing the validity of a learning analytics expectation instrument: A multinational study

Published:2020-01-14 Issue:2 Volume:36 Page:209-240
ISSN:0266-4909
Container-title:Journal of Computer Assisted Learning
language:en
Short-container-title:J Comput Assist Learn

Author:

Whitelock‐Wainwright Alexander¹^ORCID,Gašević Dragan²^ORCID,Tsai Yi‐Shan³^ORCID,Drachsler Hendrik⁴^ORCID,Scheffel Maren⁴^ORCID,Muñoz‐Merino Pedro J.⁵^ORCID,Tammets Kairit⁶,Delgado Kloos Carlos⁵^ORCID

Affiliation:

1. Portfolio of the DVC & VP (Education)Monash University Victoria Australia

2. Faculty of Information TechnologyMonash University Melbourne Australia

3. School of InformaticsThe University of Edinburgh Edinburgh UK

4. Faculty of Psychology and Educational SciencesOpen University of the Netherlands Heerlen Netherlands

5. Department of Telematics EngineeringUniversidad Carlos III de Madrid Madrid Spain

6. School of Digital TechnologiesTallinn University Tallinn Estonia

Publisher

Wiley

Subject

Computer Science Applications,Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcal.12401

Reference57 articles.

1. Learning analytics: At the nexus of big data, digital innovation, and social justice in education;Aguilar S. J.;TechTrends,2017

2. A qualitative evaluation of evolution of a learning analytics tool

3. Arnold K. E. &Sclater N.(2017).Student perceptions of their privacy in leaning analytics applications.Proceedings of the Seventh International Learning Analytics & Knowledge Conference 66–69.https://doi.org/10.1145/3027385.3027392

4. Exploratory Structural Equation Modeling

5. Bandalos D. L.(2018).Measurement Theory and Applications for the Social Sciences. Retrieved fromhttp://ebookcentral.proquest.com/lib/monash/detail.action?docID=5188172

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