Scientific QHELP

Papers

  • de Chiusole, D., Stefanutti, L., Anselmi, P., & Robusto, E. (2020). Stat-Knowlab. Assessment and Learning of Statistics with Competence-based Knowledge Space Theory. International Journal of Artificial Intelligence in Education, 30, 668–700 (2020). https://doi.org/10.1007/s40593-020-00223-1
  • Heller, J. (2023). Assessment-based correct rates in learning spaces. Journal of Mathematical Psychology, 112, 102740. doi: 10.1016/j.jmp.2022.102740
  • Stefanutti, L., de Chiusole, D., Gondan, M., & Maurer, A. (2020). Modeling misconceptions in knowledge space theory. Journal of Mathematical Psychology 99, 102435
  • Wickelmaier, F. (2022). Simulating the power of statistical tests: A collection of R examples. ArXiv. doi: 10.48550/arXiv.2110.09836

Manuscripts

  • Jackson, E., Curley, L., Leverick, F., & Lages, M. (under review). The Effect of Verdict System on Juror Decisions: A Quantitative Meta-Analysis.
  • Lages, M. (under review). A Hierarchical Unequal-Variance Signal Detection Model for Binary Responses. https://doi.org/10.31234/osf.io/tbhdq
  • Hockemeyer, C. (in preparation). Building Course-Dependent Skill Structures.
  • Moreira, S. et al. (in preparation). “Model comparison approach and fundamental concepts in statistical analysis: An educational shiny app”.

Conference Presentations

  • Hockemeyer, C. (2023). Course-dependent skill structures. Presentation at the symposium “Knowledge Spaces & Beyond”, Padua, Jan 10-11, 2023.
  • Lages, M. (2023). A Hierarchical Gaussian Signal Detection Model with Unequal Variance. Presentation at the symposium “Knowledge Spaces & Beyond”, Padua, Jan 10-11, 2023.