BibTeX record conf/aied/Uto21

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@inproceedings{DBLP:conf/aied/Uto21,
  author       = {Masaki Uto},
  editor       = {Ido Roll and
                  Danielle S. McNamara and
                  Sergey A. Sosnovsky and
                  Rose Luckin and
                  Vania Dimitrova},
  title        = {A Multidimensional Item Response Theory Model for Rubric-Based Writing
                  Assessment},
  booktitle    = {Artificial Intelligence in Education - 22nd International Conference,
                  {AIED} 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings,
                  Part {I}},
  series       = {Lecture Notes in Computer Science},
  volume       = {12748},
  pages        = {420--432},
  publisher    = {Springer},
  year         = {2021},
  url          = {https://doi.org/10.1007/978-3-030-78292-4\_34},
  doi          = {10.1007/978-3-030-78292-4\_34},
  timestamp    = {Tue, 15 Jun 2021 17:24:05 +0200},
  biburl       = {https://dblp.org/rec/conf/aied/Uto21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}