[{"publication":"Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT)","type":"conference","status":"public","_id":"20750","department":[{"_id":"78"}],"user_id":"398","language":[{"iso":"eng"}],"year":"2020","citation":{"ama":"Lienen C, Platzner M, Rinner B. ReconROS: Flexible Hardware Acceleration for ROS2 Applications. In: <i>Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT)</i>. ; 2020.","chicago":"Lienen, Christian, Marco Platzner, and Bernhard Rinner. “ReconROS: Flexible Hardware Acceleration for ROS2 Applications.” In <i>Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT)</i>, 2020.","ieee":"C. Lienen, M. Platzner, and B. Rinner, “ReconROS: Flexible Hardware Acceleration for ROS2 Applications,” in <i>Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT)</i>, 2020.","apa":"Lienen, C., Platzner, M., &#38; Rinner, B. (2020). ReconROS: Flexible Hardware Acceleration for ROS2 Applications. In <i>Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT)</i>.","short":"C. Lienen, M. Platzner, B. Rinner, in: Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT), 2020.","bibtex":"@inproceedings{Lienen_Platzner_Rinner_2020, title={ReconROS: Flexible Hardware Acceleration for ROS2 Applications}, booktitle={Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT)}, author={Lienen, Christian and Platzner, Marco and Rinner, Bernhard}, year={2020} }","mla":"Lienen, Christian, et al. “ReconROS: Flexible Hardware Acceleration for ROS2 Applications.” <i>Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT)</i>, 2020."},"date_updated":"2022-01-06T06:54:35Z","author":[{"first_name":"Christian","full_name":"Lienen, Christian","id":"60323","last_name":"Lienen"},{"id":"398","full_name":"Platzner, Marco","last_name":"Platzner","first_name":"Marco"},{"full_name":"Rinner, Bernhard","last_name":"Rinner","first_name":"Bernhard"}],"date_created":"2020-12-16T05:20:01Z","title":"ReconROS: Flexible Hardware Acceleration for ROS2 Applications","conference":{"name":"International Conference on Field Programmable Technology (ICFPT)","start_date":"2020-12-09","end_date":"2020-12-11"}},{"year":"2020","title":"Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs","publisher":"Schloss Dagstuhl - Leibniz-Zentrum für Informatik","date_created":"2020-12-16T10:20:18Z","abstract":[{"text":"We consider the problem of computing shortest paths in \\emph{hybrid networks}, in which nodes can make use of different communication modes. For example, mobile phones may use ad-hoc connections via Bluetooth or Wi-Fi in addition to the cellular network to solve tasks more efficiently. Like in this case, the different communication modes may differ considerably in range, bandwidth, and flexibility. We build upon the model of Augustine et al. [SODA '20], which captures these differences by a \\emph{local} and a \\emph{global} mode. Specifically, the local edges model a fixed communication network in which $O(1)$ messages of size $O(\\log n)$ can be sent over every edge in each synchronous round. The global edges form a clique, but nodes are only allowed to send and receive a total of at most $O(\\log n)$ messages over global edges, which restricts the nodes to use these edges only very sparsely.\r\n\r\nWe demonstrate the power of hybrid networks by presenting algorithms to compute Single-Source Shortest Paths and the diameter very efficiently in \\emph{sparse graphs}. Specifically, we present exact $O(\\log n)$ time algorithms for cactus graphs (i.e., graphs in which each edge is contained in at most one cycle), and $3$-approximations for graphs that have at most $n + O(n^{1/3})$ edges and arboricity $O(\\log n)$. For these graph classes, our algorithms provide exponentially faster solutions than the best known algorithms for general graphs in this model.\r\nBeyond shortest paths, we also provide a variety of useful tools and techniques for hybrid networks, which may be of independent interest.\r\n","lang":"eng"}],"file":[{"success":1,"relation":"main_file","content_type":"application/pdf","file_size":867373,"file_id":"20756","access_level":"closed","file_name":"Fast_Hybrid_Network_Algorithms_for_Shortest_Paths_in_Sparse_Graphs.pdf","date_updated":"2020-12-16T10:18:50Z","creator":"mfeldma2","date_created":"2020-12-16T10:18:50Z"}],"publication":"Proceedings of the 24th International Conference on Principles of Distributed Systems (OPODIS)","ddc":["000"],"language":[{"iso":"eng"}],"external_id":{"arxiv":["2007.01191"]},"citation":{"apa":"Feldmann, M., Hinnenthal, K., &#38; Scheideler, C. (2020). Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs. In <i>Proceedings of the 24th International Conference on Principles of Distributed Systems (OPODIS)</i>. Schloss Dagstuhl - Leibniz-Zentrum für Informatik. <a href=\"https://doi.org/10.4230/LIPIcs.OPODIS.2020.31\">https://doi.org/10.4230/LIPIcs.OPODIS.2020.31</a>","short":"M. Feldmann, K. Hinnenthal, C. Scheideler, in: Proceedings of the 24th International Conference on Principles of Distributed Systems (OPODIS), Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020.","bibtex":"@inproceedings{Feldmann_Hinnenthal_Scheideler_2020, title={Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs}, DOI={<a href=\"https://doi.org/10.4230/LIPIcs.OPODIS.2020.31\">10.4230/LIPIcs.OPODIS.2020.31</a>}, booktitle={Proceedings of the 24th International Conference on Principles of Distributed Systems (OPODIS)}, publisher={Schloss Dagstuhl - Leibniz-Zentrum für Informatik}, author={Feldmann, Michael and Hinnenthal, Kristian and Scheideler, Christian}, year={2020} }","mla":"Feldmann, Michael, et al. “Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs.” <i>Proceedings of the 24th International Conference on Principles of Distributed Systems (OPODIS)</i>, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020, doi:<a href=\"https://doi.org/10.4230/LIPIcs.OPODIS.2020.31\">10.4230/LIPIcs.OPODIS.2020.31</a>.","ama":"Feldmann M, Hinnenthal K, Scheideler C. Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs. In: <i>Proceedings of the 24th International Conference on Principles of Distributed Systems (OPODIS)</i>. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:<a href=\"https://doi.org/10.4230/LIPIcs.OPODIS.2020.31\">10.4230/LIPIcs.OPODIS.2020.31</a>","chicago":"Feldmann, Michael, Kristian Hinnenthal, and Christian Scheideler. “Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs.” In <i>Proceedings of the 24th International Conference on Principles of Distributed Systems (OPODIS)</i>. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020. <a href=\"https://doi.org/10.4230/LIPIcs.OPODIS.2020.31\">https://doi.org/10.4230/LIPIcs.OPODIS.2020.31</a>.","ieee":"M. Feldmann, K. Hinnenthal, and C. Scheideler, “Fast Hybrid Network Algorithms for Shortest Paths in Sparse Graphs,” in <i>Proceedings of the 24th International Conference on Principles of Distributed Systems (OPODIS)</i>, 2020."},"has_accepted_license":"1","doi":"10.4230/LIPIcs.OPODIS.2020.31","date_updated":"2022-01-06T06:54:36Z","author":[{"first_name":"Michael","full_name":"Feldmann, Michael","id":"23538","last_name":"Feldmann"},{"first_name":"Kristian","last_name":"Hinnenthal","full_name":"Hinnenthal, Kristian","id":"32229"},{"last_name":"Scheideler","id":"20792","full_name":"Scheideler, Christian","first_name":"Christian"}],"status":"public","type":"conference","file_date_updated":"2020-12-16T10:18:50Z","project":[{"name":"SFB 901 - Project Area A","_id":"2"},{"_id":"5","name":"SFB 901 - Subproject A1"},{"_id":"1","name":"SFB 901"}],"_id":"20755","user_id":"23538","department":[{"_id":"79"}]},{"status":"public","publication":"2019 IEEE 58th Conference on Decision and Control (CDC)","type":"conference","language":[{"iso":"eng"}],"_id":"20812","user_id":"87909","year":"2020","citation":{"apa":"Jean, F., &#38; Maslovskaya, S. (2020). Injectivity of the inverse optimal control problem for control-affine systems. In <i>2019 IEEE 58th Conference on Decision and Control (CDC)</i>. <a href=\"https://doi.org/10.1109/cdc40024.2019.9028877\">https://doi.org/10.1109/cdc40024.2019.9028877</a>","bibtex":"@inproceedings{Jean_Maslovskaya_2020, title={Injectivity of the inverse optimal control problem for control-affine systems}, DOI={<a href=\"https://doi.org/10.1109/cdc40024.2019.9028877\">10.1109/cdc40024.2019.9028877</a>}, booktitle={2019 IEEE 58th Conference on Decision and Control (CDC)}, author={Jean, Frederic and Maslovskaya, Sofya}, year={2020} }","short":"F. Jean, S. Maslovskaya, in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2020.","mla":"Jean, Frederic, and Sofya Maslovskaya. “Injectivity of the Inverse Optimal Control Problem for Control-Affine Systems.” <i>2019 IEEE 58th Conference on Decision and Control (CDC)</i>, 2020, doi:<a href=\"https://doi.org/10.1109/cdc40024.2019.9028877\">10.1109/cdc40024.2019.9028877</a>.","ieee":"F. Jean and S. Maslovskaya, “Injectivity of the inverse optimal control problem for control-affine systems,” in <i>2019 IEEE 58th Conference on Decision and Control (CDC)</i>, 2020.","chicago":"Jean, Frederic, and Sofya Maslovskaya. “Injectivity of the Inverse Optimal Control Problem for Control-Affine Systems.” In <i>2019 IEEE 58th Conference on Decision and Control (CDC)</i>, 2020. <a href=\"https://doi.org/10.1109/cdc40024.2019.9028877\">https://doi.org/10.1109/cdc40024.2019.9028877</a>.","ama":"Jean F, Maslovskaya S. Injectivity of the inverse optimal control problem for control-affine systems. In: <i>2019 IEEE 58th Conference on Decision and Control (CDC)</i>. ; 2020. doi:<a href=\"https://doi.org/10.1109/cdc40024.2019.9028877\">10.1109/cdc40024.2019.9028877</a>"},"publication_identifier":{"isbn":["9781728113982"]},"publication_status":"published","title":"Injectivity of the inverse optimal control problem for control-affine systems","doi":"10.1109/cdc40024.2019.9028877","date_updated":"2022-01-06T06:54:39Z","author":[{"last_name":"Jean","full_name":"Jean, Frederic","first_name":"Frederic"},{"last_name":"Maslovskaya","full_name":"Maslovskaya, Sofya","id":"87909","first_name":"Sofya"}],"date_created":"2020-12-21T13:01:22Z"},{"type":"bachelorsthesis","status":"public","department":[{"_id":"78"}],"user_id":"74287","_id":"20820","project":[{"_id":"1","name":"SFB 901"},{"_id":"82","name":"SFB 901 - Project Area T"},{"_id":"83","name":"SFB 901 -Subproject T1"}],"language":[{"iso":"eng"}],"citation":{"ama":"Thiele S. <i>Implementing Machine Learning Functions as PYNQ FPGA Overlays</i>.; 2020.","ieee":"S. Thiele, <i>Implementing Machine Learning Functions as PYNQ FPGA Overlays</i>. 2020.","chicago":"Thiele, Simon. <i>Implementing Machine Learning Functions as PYNQ FPGA Overlays</i>, 2020.","bibtex":"@book{Thiele_2020, title={Implementing Machine Learning Functions as PYNQ FPGA Overlays}, author={Thiele, Simon}, year={2020} }","short":"S. Thiele, Implementing Machine Learning Functions as PYNQ FPGA Overlays, 2020.","mla":"Thiele, Simon. <i>Implementing Machine Learning Functions as PYNQ FPGA Overlays</i>. 2020.","apa":"Thiele, S. (2020). <i>Implementing Machine Learning Functions as PYNQ FPGA Overlays</i>."},"year":"2020","author":[{"last_name":"Thiele","full_name":"Thiele, Simon","first_name":"Simon"}],"date_created":"2020-12-21T13:59:55Z","supervisor":[{"first_name":"Lennart","full_name":"Clausing, Lennart","id":"74287","last_name":"Clausing","orcid":"0000-0003-3789-6034"},{"full_name":"Platzner, Marco","id":"398","last_name":"Platzner","first_name":"Marco"},{"orcid":"0000-0001-5728-9982","last_name":"Plessl","full_name":"Plessl, Christian","id":"16153","first_name":"Christian"}],"date_updated":"2022-01-06T06:54:40Z","title":"Implementing Machine Learning Functions as PYNQ FPGA Overlays"},{"year":"2020","citation":{"chicago":"Jaganath, Vivek. <i>Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows</i>, 2020.","ieee":"V. Jaganath, <i>Extension and Evaluation of Python-based High-Level Synthesis Tool Flows</i>. 2020.","ama":"Jaganath V. <i>Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows</i>.; 2020.","mla":"Jaganath, Vivek. <i>Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows</i>. 2020.","short":"V. Jaganath, Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows, 2020.","bibtex":"@book{Jaganath_2020, title={Extension and Evaluation of Python-based High-Level Synthesis Tool Flows}, author={Jaganath, Vivek}, year={2020} }","apa":"Jaganath, V. (2020). <i>Extension and Evaluation of Python-based High-Level Synthesis Tool Flows</i>."},"date_updated":"2022-01-06T06:54:40Z","date_created":"2020-12-21T14:02:42Z","author":[{"first_name":"Vivek","full_name":"Jaganath, Vivek","last_name":"Jaganath"}],"supervisor":[{"first_name":"Lennart","orcid":"0000-0003-3789-6034","last_name":"Clausing","full_name":"Clausing, Lennart","id":"74287"},{"last_name":"Platzner","full_name":"Platzner, Marco","id":"398","first_name":"Marco"},{"first_name":"Christian","full_name":"Plessl, Christian","id":"16153","orcid":"0000-0001-5728-9982","last_name":"Plessl"}],"title":"Extension and Evaluation of Python-based High-Level Synthesis Tool Flows","type":"mastersthesis","status":"public","_id":"20821","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area T","_id":"82"},{"_id":"83","name":"SFB 901 -Subproject T1"}],"department":[{"_id":"78"}],"user_id":"74287","language":[{"iso":"eng"}]},{"doi":"10.1007/s11423-020-09858-2","title":"Machine learning for human learners: opportunities, issues, tensions and threats","author":[{"first_name":"Mary E","last_name":"Webb","full_name":"Webb, Mary E"},{"full_name":"Fluck, Andrew","last_name":"Fluck","first_name":"Andrew"},{"first_name":"Johannes","last_name":"Magenheim","full_name":"Magenheim, Johannes"},{"last_name":"Malyn-Smith","full_name":"Malyn-Smith, Joyce","first_name":"Joyce"},{"first_name":"Juliet","last_name":"Waters","full_name":"Waters, Juliet"},{"first_name":"Michelle","full_name":"Deschênes , Michelle","last_name":"Deschênes "},{"last_name":"Zagami","full_name":"Zagami, Jason","first_name":"Jason"}],"date_created":"2020-12-22T15:17:04Z","publisher":"Springer","date_updated":"2022-01-06T06:54:40Z","citation":{"apa":"Webb, M. E., Fluck, A., Magenheim, J., Malyn-Smith, J., Waters, J., Deschênes , M., &#38; Zagami, J. (2020). Machine learning for human learners: opportunities, issues, tensions and threats. <i>Educational Technology Research and Development</i>, 1–22. <a href=\"https://doi.org/10.1007/s11423-020-09858-2\">https://doi.org/10.1007/s11423-020-09858-2</a>","mla":"Webb, Mary E., et al. “Machine Learning for Human Learners: Opportunities, Issues, Tensions and Threats.” <i>Educational Technology Research and Development</i>, Springer, 2020, pp. 1–22, doi:<a href=\"https://doi.org/10.1007/s11423-020-09858-2\">10.1007/s11423-020-09858-2</a>.","short":"M.E. Webb, A. Fluck, J. Magenheim, J. Malyn-Smith, J. Waters, M. Deschênes , J. Zagami, Educational Technology Research and Development (2020) 1–22.","bibtex":"@article{Webb_Fluck_Magenheim_Malyn-Smith_Waters_Deschênes _Zagami_2020, title={Machine learning for human learners: opportunities, issues, tensions and threats}, DOI={<a href=\"https://doi.org/10.1007/s11423-020-09858-2\">10.1007/s11423-020-09858-2</a>}, journal={Educational Technology Research and Development}, publisher={Springer}, author={Webb, Mary E and Fluck, Andrew and Magenheim, Johannes and Malyn-Smith, Joyce and Waters, Juliet and Deschênes , Michelle and Zagami, Jason}, year={2020}, pages={1–22} }","ama":"Webb ME, Fluck A, Magenheim J, et al. Machine learning for human learners: opportunities, issues, tensions and threats. <i>Educational Technology Research and Development</i>. 2020:1-22. doi:<a href=\"https://doi.org/10.1007/s11423-020-09858-2\">10.1007/s11423-020-09858-2</a>","ieee":"M. E. Webb <i>et al.</i>, “Machine learning for human learners: opportunities, issues, tensions and threats,” <i>Educational Technology Research and Development</i>, pp. 1–22, 2020.","chicago":"Webb, Mary E, Andrew Fluck, Johannes Magenheim, Joyce Malyn-Smith, Juliet Waters, Michelle Deschênes , and Jason Zagami. “Machine Learning for Human Learners: Opportunities, Issues, Tensions and Threats.” <i>Educational Technology Research and Development</i>, 2020, 1–22. <a href=\"https://doi.org/10.1007/s11423-020-09858-2\">https://doi.org/10.1007/s11423-020-09858-2</a>."},"page":"1-22","year":"2020","language":[{"iso":"eng"}],"user_id":"21145","department":[{"_id":"67"}],"_id":"20834","status":"public","type":"journal_article","publication":"Educational Technology Research and Development"},{"language":[{"iso":"ger"}],"user_id":"21145","department":[{"_id":"67"}],"_id":"20835","status":"public","type":"journal_article","publication":"MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung","doi":"10.21240/mpaed/37/2020.07.08.X","title":"< Big Data> aus der Perspektive von Informatischer Bildung und Medienpädagogik","author":[{"last_name":"Magenheim","full_name":"Magenheim, Johannes","first_name":"Johannes"}],"date_created":"2020-12-22T15:22:42Z","volume":37,"date_updated":"2022-01-06T06:54:40Z","citation":{"ama":"Magenheim J. &#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik. <i>MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung</i>. 2020;37:139-163. doi:<a href=\"https://doi.org/10.21240/mpaed/37/2020.07.08.X\">10.21240/mpaed/37/2020.07.08.X</a>","ieee":"J. Magenheim, “&#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik,” <i>MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung</i>, vol. 37, pp. 139–163, 2020.","chicago":"Magenheim, Johannes. “&#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik.” <i>MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung</i> 37 (2020): 139–63. <a href=\"https://doi.org/10.21240/mpaed/37/2020.07.08.X\">https://doi.org/10.21240/mpaed/37/2020.07.08.X</a>.","short":"J. Magenheim, MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung 37 (2020) 139–163.","mla":"Magenheim, Johannes. “&#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik.” <i>MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung</i>, vol. 37, 2020, pp. 139–63, doi:<a href=\"https://doi.org/10.21240/mpaed/37/2020.07.08.X\">10.21240/mpaed/37/2020.07.08.X</a>.","bibtex":"@article{Magenheim_2020, title={&#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik}, volume={37}, DOI={<a href=\"https://doi.org/10.21240/mpaed/37/2020.07.08.X\">10.21240/mpaed/37/2020.07.08.X</a>}, journal={MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung}, author={Magenheim, Johannes}, year={2020}, pages={139–163} }","apa":"Magenheim, J. (2020). &#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik. <i>MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung</i>, <i>37</i>, 139–163. <a href=\"https://doi.org/10.21240/mpaed/37/2020.07.08.X\">https://doi.org/10.21240/mpaed/37/2020.07.08.X</a>"},"page":"139-163","intvolume":"        37","year":"2020"},{"title":"Data science education","doi":"10.1007/978-3-030-10576-1_253","date_updated":"2022-01-06T06:54:40Z","date_created":"2020-12-22T15:26:36Z","author":[{"first_name":"Johannes","full_name":"Magenheim, Johannes","last_name":"Magenheim"},{"id":"60311","full_name":"Schulte, Carsten","last_name":"Schulte","first_name":"Carsten"}],"year":"2020","citation":{"ama":"Magenheim J, Schulte C. Data science education. <i>Encyclopedia of Education and Information Technologies Cham: Springer</i>. 2020. doi:<a href=\"https://doi.org/10.1007/978-3-030-10576-1_253\">10.1007/978-3-030-10576-1_253</a>","ieee":"J. Magenheim and C. Schulte, “Data science education,” <i>Encyclopedia of Education and Information Technologies. Cham: Springer</i>, 2020.","chicago":"Magenheim, Johannes, and Carsten Schulte. “Data Science Education.” <i>Encyclopedia of Education and Information Technologies. Cham: Springer</i>, 2020. <a href=\"https://doi.org/10.1007/978-3-030-10576-1_253\">https://doi.org/10.1007/978-3-030-10576-1_253</a>.","bibtex":"@article{Magenheim_Schulte_2020, title={Data science education}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-10576-1_253\">10.1007/978-3-030-10576-1_253</a>}, journal={Encyclopedia of Education and Information Technologies. Cham: Springer}, author={Magenheim, Johannes and Schulte, Carsten}, year={2020} }","mla":"Magenheim, Johannes, and Carsten Schulte. “Data Science Education.” <i>Encyclopedia of Education and Information Technologies. Cham: Springer</i>, 2020, doi:<a href=\"https://doi.org/10.1007/978-3-030-10576-1_253\">10.1007/978-3-030-10576-1_253</a>.","short":"J. Magenheim, C. Schulte, Encyclopedia of Education and Information Technologies. Cham: Springer (2020).","apa":"Magenheim, J., &#38; Schulte, C. (2020). Data science education. <i>Encyclopedia of Education and Information Technologies. Cham: Springer</i>. <a href=\"https://doi.org/10.1007/978-3-030-10576-1_253\">https://doi.org/10.1007/978-3-030-10576-1_253</a>"},"language":[{"iso":"eng"}],"_id":"20836","department":[{"_id":"67"}],"user_id":"21145","status":"public","publication":"Encyclopedia of Education and Information Technologies. Cham: Springer","type":"journal_article"},{"citation":{"apa":"Schulte, C., Budde, L., &#38; Winkelnkemper, F. (2020). Programmieren - Lehren und Lernen mit und über Medien. In <i>Mobile Medien im Schulkontext</i> (pp. 215–240). Springer. <a href=\"https://doi.org/10.1007/978-3-658-29039-9\">https://doi.org/10.1007/978-3-658-29039-9</a>","short":"C. Schulte, L. Budde, F. 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