Leveraging Non-cognitive Student Self-reports to Predict Learning Outcomes

Kaska Porayska-Pomsta, Manolis Mavrikis, Mutlu Cukurova, Maria Margeti, Tej Samani. Leveraging Non-cognitive Student Self-reports to Predict Learning Outcomes. In Carolyn Penstein Rosé, Roberto Martínez Maldonado, Heinz Ulrich Hoppe, Rose Luckin, Manolis Mavrikis, Kaska Porayska-Pomsta, Bruce M. McLaren, Benedict du Boulay, editors, Artificial Intelligence in Education - 19th International Conference, AIED 2018, London, UK, June 27-30, 2018, Proceedings, Part II. Volume 10948 of Lecture Notes in Computer Science, pages 458-462, Springer, 2018. [doi]

@inproceedings{Porayska-Pomsta18a,
  title = {Leveraging Non-cognitive Student Self-reports to Predict Learning Outcomes},
  author = {Kaska Porayska-Pomsta and Manolis Mavrikis and Mutlu Cukurova and Maria Margeti and Tej Samani},
  year = {2018},
  doi = {10.1007/978-3-319-93846-2_86},
  url = {https://doi.org/10.1007/978-3-319-93846-2_86},
  researchr = {https://researchr.org/publication/Porayska-Pomsta18a},
  cites = {0},
  citedby = {0},
  pages = {458-462},
  booktitle = {Artificial Intelligence in Education - 19th International Conference, AIED 2018, London, UK, June 27-30, 2018, Proceedings, Part II},
  editor = {Carolyn Penstein Rosé and Roberto Martínez Maldonado and Heinz Ulrich Hoppe and Rose Luckin and Manolis Mavrikis and Kaska Porayska-Pomsta and Bruce M. McLaren and Benedict du Boulay},
  volume = {10948},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-93846-2},
}