It’s not magic after all–machine learning in snap! using reinforcement learning S Jatzlau, T Michaeli, S Seegerer, R Romeike 2019 IEEE blocks and beyond workshop (B&B), 37-41, 2019 | 40 | 2019 |
Looking beyond supervised classification and image recognition–unsupervised learning with snap T Michaeli, S Seegerer, S Jatzlau, R Romeike Constructionism 2020: Exploring, Testing and Extending our Understanding of …, 2020 | 9 | 2020 |
The five million piece puzzle: finding answers in 500,000 snap!-projects S Jatzlau, S Seegerer, R Romeike 2019 IEEE Blocks and Beyond Workshop (B&B), 73-77, 2019 | 7 | 2019 |
How high is the ceiling? Applying core concepts of block-based languages to extend programming environments S Jatzlau, R Romeike, E Jasut, V Dagien Constructionism, 286-294, 2018 | 6 | 2018 |
Kein Hexenwerk-Ideen des maschinellen Lernens in SNAP! T Michaeli, S Seegerer, S Jatzlau LOG IN Verlag, 2020 | 3 | 2020 |
Herausforderung durch neue Programmierkonzepte in blockbasierten Programmiersprachen S Jatzlau, R Romeike | 2 | 2017 |
LOG IN: Vol. 40, No. 1 E Modrow, A Grillenberger, R Romeike, R Baumann, L Hellmig, ... LOG IN Verlag, 2020 | | 2020 |
New Teaching Strategies for New Concepts--What is Different with Block-based Programming? S Jatzlau, R Romeike Proceedings of the 49th ACM Technical Symposium on Computer Science …, 2018 | | 2018 |
Toward Teaching Strategies for Block-based Languages: Possibilities, Challenges, and Experiences S Jatzlau, R Romeike Proceedings of the 49th ACM Technical Symposium on Computer Science …, 2018 | | 2018 |