Automatic recommendations for data coding: a use case from medical and teacher education

Download full text files

  • Postprint. © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Claudia Schulz, Michael SailerORCiDGND, Jan Kiesewetter, Elisabeth BauerORCiDGND, Frank Fischer, Martin R. Fischer, Iryna Gurevych
URN:urn:nbn:de:bvb:384-opus4-1116605
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/111660
ISBN:978-1-5386-9157-1OPAC
Parent Title (English):2018 IEEE 14th International Conference on e-Science (e-Science), 29 October - 1 November 2018, Amsterdam, Netherlands
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Wilco Hazeleger, Adriënne Mendrik, Ben van Werkhoven, Rob van Nieuwpoort, Raül Sirvent Pardell
Type:Conference Proceeding
Language:English
Year of first Publication:2018
Publishing Institution:Universität Augsburg
Release Date:2024/02/28
First Page:364
Last Page:365
DOI:https://doi.org/10.1109/escience.2018.00100
Institutes:Philosophisch-Sozialwissenschaftliche Fakultät
Philosophisch-Sozialwissenschaftliche Fakultät / Empirische Bildungsforschung
Philosophisch-Sozialwissenschaftliche Fakultät / Empirische Bildungsforschung / Lehrstuhl für Learning Analytics and Educational Data Mining
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht