Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption

Christian Otto, Ran Yu 0001, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze, Ralph Ewerth. Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption. In Ido Roll, Danielle S. McNamara, Sergey A. Sosnovsky, Rose Luckin, Vania Dimitrova, editors, Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part I. Volume 12748 of Lecture Notes in Computer Science, pages 318-330, Springer, 2021. [doi]

@inproceedings{Otto0PHRHHKDE21,
  title = {Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption},
  author = {Christian Otto and Ran Yu 0001 and Georg Pardi and Johannes von Hoyer and Markus Rokicki and Anett Hoppe and Peter Holtz and Yvonne Kammerer and Stefan Dietze and Ralph Ewerth},
  year = {2021},
  doi = {10.1007/978-3-030-78292-4_26},
  url = {https://doi.org/10.1007/978-3-030-78292-4_26},
  researchr = {https://researchr.org/publication/Otto0PHRHHKDE21},
  cites = {0},
  citedby = {0},
  pages = {318-330},
  booktitle = {Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part I},
  editor = {Ido Roll and Danielle S. McNamara and Sergey A. Sosnovsky and Rose Luckin and Vania Dimitrova},
  volume = {12748},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-78292-4},
}