@article{HaaseHanel2022,
  author    = {Haase, Jennifer and Hanel, Paul H. P.},
  title     = {Priming creativity: Doing math reduces creativity and happiness whereas playing short online games enhance them},
  series = {Frontiers in Education},
  journal   = {Frontiers in Education},
  publisher = {Frontiers},
  address   = {Lausanne, Schweiz},
  issn      = {2504-284X},
  doi       = {10.3389/feduc.2022.976459},
  pages     = {14},
  year      = {2022},
  abstract  = {Creative thinking is an indispensable cognitive skill that is becoming increasingly important. In the present research, we tested the impact of games on creativity and emotions in a between-subject online experiment with four conditions (N = 658). (1) participants played a simple puzzle game that allowed many solutions (priming divergent thinking); (2) participants played a short game that required one fitting solution (priming convergent thinking); (3) participants performed mental arithmetic; (4) passive control condition. Results show that divergent and convergent creativity were higher after playing games and lower after mental arithmetic. Positive emotions did not function as a mediator, even though they were also heightened after playing the games and lower after mental arithmetic. However, contrary to previous research, we found no direct effect of emotions, creative self-efficacy, and growth- vs. fixed on creative performance. We discuss practical implications for digital learning and application settings.},
  language  = {en}
}
@inproceedings{RudianHaasePinkwart2022,
  author    = {Rudian, Sylvio Leo and Haase, Jennifer and Pinkwart, Niels},
  title     = {Predicting creativity in online courses},
  series = {2022 International Conference on Advanced Learning Technologies (ICALT)},
  booktitle = {2022 International Conference on Advanced Learning Technologies (ICALT)},
  publisher = {IEEE},
  address   = {Piscataway, NJ},
  isbn      = {978-1-6654-9519-6},
  doi       = {10.1109/ICALT55010.2022.00056},
  pages     = {164 -- 168},
  year      = {2022},
  abstract  = {Many prediction tasks can be done based on users' trace data. This paper explores divergent and convergent thinking as person-related attributes and predicts them based on features gathered in an online course. We use the logfile data of a short Moodle course, combined with an image test (IMT), the Alternate Uses Task (AUT), the Remote Associates Test (RAT), and creative self-efficacy (CSE). Our results show that originality and elaboration metrics can be predicted with an accuracy of ~.7 in cross-validation, whereby predicting fluency and RAT scores perform worst. CSE items can be predicted with an accuracy of ~.45. The best performing model is a Random Forest Tree, where the features were reduced using a Linear Discriminant Analysis in advance. The promising results can help to adjust online courses to the learners' needs based on their creative performances.},
  language  = {en}
}