BibTeX Export for Data Visualization for Learning Analytics Indicators in Programming Teaching (Short Paper)

Copy to Clipboard Download

@InProceedings{dossantos_et_al:OASIcs.ICPEC.2023.10,
  author =	{dos Santos, Ranieri Alves and Barbi, Dalner and Ramos, Vinicius Faria Culmant and Gauthier, Fernando Alvaro Ostuni},
  title =	{{Data Visualization for Learning Analytics Indicators in Programming Teaching}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{10:1--10:7},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-290-7},
  ISSN =	{2190-6807},
  year =	{2023},
  volume =	{112},
  editor =	{Peixoto de Queir\'{o}s, Ricardo Alexandre and Teixeira Pinto, M\'{a}rio Paulo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2023.10},
  URN =		{urn:nbn:de:0030-drops-185069},
  doi =		{10.4230/OASIcs.ICPEC.2023.10},
  annote =	{Keywords: learning analytics, data visualization, learning indicators}
}

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode