CODAP Publications
Biehler, R., Fleischer, Y., Budde, L., Frischemeier, D., Gerstenberger, D., Podworny, S., & Schulte, C. (2020). Data science education in secondary schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks as an example of integrating machine learning into statistics education. In New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE). ISI/IASE, Voorborg, The Netherlands.
Biehler, R., & Fleisher, Y. (2021). Introducing students to machine learning with decision trees using CODAP and Jupyter Notebooks. Teaching Statistics, 43(S1), pp. S133-S142. https://doi.org/10.1111/test.12279
Budde, L., Frischemeier, D., Biehler, R., Fleischer, Y., Gerstenberger, D., Podworny, S., & Schulte, C. (2020). Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP. IASE Roundtable.
Engel, J. (2018). Exploring civic statistics with CODAP. In P. Kovács (Ed.), Proceedings of Challenges and Innovations in Statistics Education Multiplier Conference of ProCivicStat. https://eco.u-szeged.hu/download.php?docID=73891
Erickson, T., Wilkerson, M., Finzer, W., & Reichsman, F. (2019). Data moves. Technology Innovations in Statistics Education, 12(1). http://dx.doi.org/10.5070/T5121038001
Frischemeier, D., Biehler, R., Podworny, S., & Budde, L. (2021). A first introduction to data science education in secondary schools: Teaching and learning about data exploration with CODAP using survey data. Teaching Statistics, 43, S182-S189. https://doi.org/10.1111/test.12283
Haldar, L. C., Wong, N., Heller, J. I., & Konold, C. (2018). Students making sense of multi-level data. Technology Innovations in Statistics Education, 11(1). http://dx.doi.org/10.5070/T5111031358
Harvey, M., Mokros, J., Sagrans, J., & Voyer, C. (2020). What makes them tick? Middle school data science explorations of ticks and Lyme disease. Connected Science Learning, 2(3). https://www.nsta.org/connected-science-learning/connected-science-learning-july-september-2020/what-makes-them-tick
Higgins, T., Mokros, J., Rubin, A., & Sagrans, J. (2023). Students’ approaches to exploring relationships between categorical variables. Teaching Statistics, 45(S1), pp. S52-S66. https://doi.org/10.1111/test.12331
Hudson, R. A., Mojica, G. F., Lee, H. S., & Casey, S. (2024). Data moves as a focusing lens for learning to teach with CODAP. Computers in the Schools, 1–26. https://doi.org/10.1080/07380569.2024.2411705
Mojica, G. F., Barker, H., & Azmy, C. N. (2019). Instrumented learning in a CODAP-enabled learning environment. In J. M. Contreras, M. M. Gea, M. M. López-Martín, & E. Molina-Portillo (Eds.), Proceedings of the III International Virtual Congress on Statistical Education. https://www.ugr.es/~fqm126/civeest/mojica.pdf
Mokros, J., Rubin, A., Sagrans, J., & Higgins, T. (2023). Curating datasets to support middle school student inquiry. In E. M. Jones (Ed.), Fostering Learning of Statistics and Data Science: Proceedings of the Satellite Conference of the International Association for Statistical Education (IASE). https://iase-web.org/Webinars.php?p=230711_2000
Nicholson, J., & Ridgway, J. (2024). New viruses are inevitable; pandemics are optional—Lessons for and from statistics. Teaching Statistics. http://doi.org/10.1111/test.12379
Noyce, P., Mokros, J., Martin, L., & Sagrans, J. (2022). Integrating technology and narrative to engage young adolescents with COVID data. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering & Educating Today’s Learners in Statistics. Proceedings of the 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina. International Association for Statistical Education. https://www.doi.org/10.52041/iase.icots11.T2I3
Sagrans, J., Mokros, J., Voyer, C., Sagrans, J., & Harvey, M. (2022, Jan/Feb). Data science meets science teaching. The Science Teacher. https://www.nsta.org/science-teacher/science-teacher-januaryfebruary-2022/data-science-meets-science-teaching