Provision of data-driven student feedback in LA and EDM

Abelardo Pardo; Oleksandra Poquet; Roberto Martinez-Maldonado; Shane Dawson

doi:10.18608/hla17.014

Provision of data-driven student feedback in LA and EDM

Abelardo Pardo, Oleksandra Poquet, Roberto Martinez-Maldonado, Shane Dawson

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Other

Abstract

The areas of learning analytics (LA) and educational data mining (EDM) explore the use of data to increase insight about learning environments and improve the overall quality of experience for students. The focus of both disciplines covers a wide spectrum related to instructional design, tutoring, student engagement, student success, emotional well-being, and so on. This chapter focuses on the potential of combining the knowledge from these disciplines with the existing body of research about the provision of feedback to students. Feedback has been identified as one of the factors that can provide substantial improvement in a learning scenario. Although there is a solid body of work characterizing feedback, the combination with the ubiquitous presence of data about learners offers fertile ground to explore new data-driven student support actions.

Original language	English
Title of host publication	Handbook of Learning Analytics
Editors	Charles Lang, George Siemens, Alyssa Wise, Dragan Gasevic
Place of Publication	New York NY USA
Publisher	Society for Learning Analytics Research
Chapter	14
Pages	163-174
Number of pages	12
Edition	1st
ISBN (Electronic)	9780995240803
DOIs	https://doi.org/10.18608/hla17.014
Publication status	Published - 2017
Externally published	Yes

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10.18608/hla17.014

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Cite this

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title = "Provision of data-driven student feedback in LA and EDM",

abstract = "The areas of learning analytics (LA) and educational data mining (EDM) explore the use of data to increase insight about learning environments and improve the overall quality of experience for students. The focus of both disciplines covers a wide spectrum related to instructional design, tutoring, student engagement, student success, emotional well-being, and so on. This chapter focuses on the potential of combining the knowledge from these disciplines with the existing body of research about the provision of feedback to students. Feedback has been identified as one of the factors that can provide substantial improvement in a learning scenario. Although there is a solid body of work characterizing feedback, the combination with the ubiquitous presence of data about learners offers fertile ground to explore new data-driven student support actions.",

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Provision of data-driven student feedback in LA and EDM. / Pardo, Abelardo; Poquet, Oleksandra; Martinez-Maldonado, Roberto et al.
Handbook of Learning Analytics. ed. / Charles Lang; George Siemens; Alyssa Wise; Dragan Gasevic. 1st. ed. New York NY USA: Society for Learning Analytics Research, 2017. p. 163-174.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Other

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