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Learnersourcing ana...
Learnersourcing analytics
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- Glassey, Richard (författare)
- KTH,Teoretisk datalogi, TCS
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- Bälter, Olof, 1962- (författare)
- KTH,Medieteknik och interaktionsdesign, MID
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(creator_code:org_t)
- 2023-03-31
- 2023
- Engelska.
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Ingår i: Practicable Learning Analytics. - Cham : Springer International Publishing. ; , s. 155-175
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- A good source of data for learning analytics is the online questions and answers posed to the learners during the course. However, there are several reports on the challenges of question construction as these questions are time consuming to construct and verify, especially if you go beyond multiple-choice questions. One remedy to this is learnersourcing that includes the learners in the generation and verification of these questions for both pedagogical reasons and resource conservation. Learnersourcing is one solution to producing and improving learning activities at scale by leveraging student effort. It also creates a new layer of learner data to analyse: first, in terms of the behaviour traces from producing learning activities; and second in terms of the impressions that other learners and teachers have from taking or reviewing those activities. This chapter will introduce basic concepts and examples of learnersourcing along with examples and approaches to applying a learning analytics lens upon the data traces that are produced.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
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