I am Florian Wörister, a Ph.D. student at the University of Vienna, specializing in programming education. With a unique blend of backgrounds, including computer science, music education, and certification as a The Carpentries instructor, my research focuses on innovative methods to make programming concepts accessible to learners of all backgrounds and ages.
I am currently delivering introductory programming lectures at the University of Vienna, where I have the privilege of introducing students to the fascinating world of coding. Guiding them through the fundamentals of programming is a rewarding experience, as we embark on a journey to cultivate their computational skills and inspire a passion for problem-solving in the digital realm.
learn more ...Since November 2021, I have proudly held the title of a certified Carpentries instructor. In this role, I've had the privilege of participating in three Carpentries workshops, both as an instructor and a helper. These experiences have allowed me to share my knowledge and expertise in research computing and data science with others, empowering them with valuable skills and tools to excel in their work. I'm passionate about contributing to the Carpentries community and look forward to continuing to support learners on their journey towards computational proficiency.
learn more ...Florian Wörister and Maria Knobelsdorf. 2023. A Block-Based Programming Environment for Teaching Low-Level Computing (Discussion). In 23rd Koli Calling International Conference on Computing Education Research (Koli Calling ’23), November 13–18, 2023, Koli, Finland. ACM, New York, NY, USA, 12 pages.https://doi.org/10.1145/3631802.3631825
Rauber, A., Gößwein, B., Zwölf, C. M., Schubert, C., Wörister, F., Duncan, J., Flicker, K., Zettsu, K., Meixner, K., McIntosh, L. D., Pröll, S., Miksa, T., & Parsons, M. A. (2021). Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data. Harvard Data Science Review, 3(4). https://doi.org/10.1162/99608f92.be565013