Predicting engineering students' optimal group size using socio-educational features

Sadia Sharmin. Predicting engineering students' optimal group size using socio-educational features. In Eunice Ratna Sari, Kazuyuki Fujita, Adi B. Tedjasaputra, Masitah Ghazali, Shio Miyafuji, editors, AsianCHI@CHI 2019: Asian CHI Symposium, CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland, United Kingdom, May 5, 2019. pages 97-104, ACM, 2019. [doi]

@inproceedings{Sharmin19a,
  title = {Predicting engineering students' optimal group size using socio-educational features},
  author = {Sadia Sharmin},
  year = {2019},
  doi = {10.1145/3309700.3338445},
  url = {https://doi.org/10.1145/3309700.3338445},
  researchr = {https://researchr.org/publication/Sharmin19a},
  cites = {0},
  citedby = {0},
  pages = {97-104},
  booktitle = {AsianCHI@CHI 2019: Asian CHI Symposium, CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland, United Kingdom, May 5, 2019},
  editor = {Eunice Ratna Sari and Kazuyuki Fujita and Adi B. Tedjasaputra and Masitah Ghazali and Shio Miyafuji},
  publisher = {ACM},
  isbn = {978-1-4503-6679-3},
}