Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-5531
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shibani, Antonette | - |
dc.contributor.author | Liu, Ming | - |
dc.contributor.author | Rapp, Christian | - |
dc.contributor.author | Knight, Simon | - |
dc.date.accessioned | 2019-07-17T07:53:09Z | - |
dc.date.available | 2019-07-17T07:53:09Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | https://www.solaresearch.org/wp-content/uploads/2019/08/LAK19_Companion_Proceedings.pdf | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/17479 | - |
dc.description.abstract | Writing analytics as a field is growing in terms of the tools and technologies developed to support student writing, methods to collect and analyze writing data, and the embedding of tools in pedagogical contexts to make them relevant for learning. This workshop will facilitate discussion on recent writing analytics research by researchers, writing tool developers, theorists and practitioners to map the current state of the field, identify issues and develop future directions for advances in writing analytics. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | SoLAR | de_CH |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/ | de_CH |
dc.subject.ddc | 410.285: Computerlinguistik | de_CH |
dc.subject.ddc | 808: Rhetorik und Schreiben | de_CH |
dc.title | Advances in writing analytics : mapping the state of the field | de_CH |
dc.type | Konferenz: Paper | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Management and Law | de_CH |
zhaw.organisationalunit | Zentrum für Innovative Didaktik (ZID) | de_CH |
dc.identifier.doi | 10.21256/zhaw-5531 | - |
zhaw.conference.details | International Conference on Learning Analytics & Knowledge, Tempe, USA, 4-8 March 2019 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 255 | de_CH |
zhaw.pages.start | 251 | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.title.proceedings | Companion Proceedings 9th International Conference on Learning Analytics & Knowledge (LAK19) | de_CH |
zhaw.author.additional | No | de_CH |
Appears in collections: | Publikationen School of Management and Law |
Files in This Item:
File | Description | Size | Format | |
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Advances in Writing Analytics.pdf | 4.05 MB | Adobe PDF | View/Open |
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Shibani, A., Liu, M., Rapp, C., & Knight, S. (2019). Advances in writing analytics : mapping the state of the field [Conference paper]. Companion Proceedings 9th International Conference on Learning Analytics & Knowledge (LAK19), 251–255. https://doi.org/10.21256/zhaw-5531
Shibani, A. et al. (2019) ‘Advances in writing analytics : mapping the state of the field’, in Companion Proceedings 9th International Conference on Learning Analytics & Knowledge (LAK19). SoLAR, pp. 251–255. Available at: https://doi.org/10.21256/zhaw-5531.
A. Shibani, M. Liu, C. Rapp, and S. Knight, “Advances in writing analytics : mapping the state of the field,” in Companion Proceedings 9th International Conference on Learning Analytics & Knowledge (LAK19), 2019, pp. 251–255. doi: 10.21256/zhaw-5531.
SHIBANI, Antonette, Ming LIU, Christian RAPP und Simon KNIGHT, 2019. Advances in writing analytics : mapping the state of the field. In: Companion Proceedings 9th International Conference on Learning Analytics & Knowledge (LAK19) [online]. Conference paper. SoLAR. 2019. S. 251–255. Verfügbar unter: https://www.solaresearch.org/wp-content/uploads/2019/08/LAK19_Companion_Proceedings.pdf
Shibani, Antonette, Ming Liu, Christian Rapp, and Simon Knight. 2019. “Advances in Writing Analytics : Mapping the State of the Field.” Conference paper. In Companion Proceedings 9th International Conference on Learning Analytics & Knowledge (LAK19), 251–55. SoLAR. https://doi.org/10.21256/zhaw-5531.
Shibani, Antonette, et al. “Advances in Writing Analytics : Mapping the State of the Field.” Companion Proceedings 9th International Conference on Learning Analytics & Knowledge (LAK19), SoLAR, 2019, pp. 251–55, https://doi.org/10.21256/zhaw-5531.
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