Formative assessment and learning analytics

D.T. Tempelaar; A. Heck; H. Cuypers; H. van der Kooij; E. van de Vrie

doi:10.1145/2460296.2460337

Formative assessment and learning analytics

D.T. Tempelaar, A. Heck, H. Cuypers, H. van der Kooij, E. van de Vrie

Quantitative Economics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

Abstract

Learning analytics seeks to enhance the learning process through systematic measurements of learning related data, and informing learners and teachers of the results of these measurements, so as to support the control of the learning process. Learning analytics has various sources of information, two main types being intentional and learner activity related metadata [1]. This contribution aims to provide a practical application of Shum and Crick's theoretical framework [1] of a learning analytics infrastructure that combines learning dispositions data with data extracted from computer-based, formative assessments. The latter data component is derived from one of the educational projects of ONBETWIST, part of the SURF program 'Testing and Test Driven Learning'.

Original language	English
Title of host publication	Proceedings of the Third International Conference on Learning Analytics and Knowledge
Editors	D. Suthers, K. Verbert, E. Duval, X. Ochoa
Place of Publication	New York
Publisher	The Association for Computing Machinery
Pages	205-209
Number of pages	5
ISBN (Print)	978-1-4503-1785-6
DOIs	https://doi.org/10.1145/2460296.2460337
Publication status	Published - 1 Jan 2013

Access to Document

10.1145/2460296.2460337

Cite this

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abstract = "Learning analytics seeks to enhance the learning process through systematic measurements of learning related data, and informing learners and teachers of the results of these measurements, so as to support the control of the learning process. Learning analytics has various sources of information, two main types being intentional and learner activity related metadata [1]. This contribution aims to provide a practical application of Shum and Crick's theoretical framework [1] of a learning analytics infrastructure that combines learning dispositions data with data extracted from computer-based, formative assessments. The latter data component is derived from one of the educational projects of ONBETWIST, part of the SURF program 'Testing and Test Driven Learning'.",

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Formative assessment and learning analytics. / Tempelaar, D.T.; Heck, A.; Cuypers, H. et al.
Proceedings of the Third International Conference on Learning Analytics and Knowledge. ed. / D. Suthers; K. Verbert; E. Duval; X. Ochoa. New York: The Association for Computing Machinery, 2013. p. 205-209.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

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