Positions
(he/him)
Professorship for Digital Education and Computer Science Education
Prof. Dr. Johannes Krugel
© Julian Martitz
Prof. Dr. Johannes Krugel
Phone
Fax
Address
Appelstraße 9a
30167 Hannover
30167 Hannover
Building
Room
© Julian Martitz
Prof. Dr. Johannes Krugel
Deputy Representatives for Professors
Faculty Council, Faculty of Electrical Engineering and Computer Science
Professors
Didactics of Electrical Engineering and Computer Science Section
Department Student Advisors
Teaching Degree in Computer Science
Course Guidance, Faculty of Electrical Engineering and Computer Science
Research and projects
My research interests are in the fields of computer science education and computer-supported learning.
Current projects:
- Leibniz AI Academy - Disziplinübergreifende, hybride Micro-Degrees für Studium & Weiterbildung, BMBF, Künstliche Intelligenz in der Hochschulbildung
- Kompetenzzentrum für Lehrkräftefortbildung Robotik Hannover, Mensch-Roboter-Kollaboration Robonatives, Landesinitiative n-21
- AKoFOOP: Automatisierte Kompetenzmessung und Feedbackerzeugung zum objektorientierten Programmieren, DFG
- LernMINT - Datengestützter Unterricht in den MINT-Fächern, Promotionsprogramm, Ministerium für Wissenschaft und Kultur, Niedersachsen
- Lernen objektorientierter Programmierung
Completed projects:
- Studienbezogene Verstärkung der Exzellenzstrategie
- KETTI: Kompetenzerwerb von Tutorinnen und Tutoren in der Informatik, funded by the BMBF (German Federal Ministry of Education and Research).
- Leitung der Nachqualifikation von Informatiklehrkräften für das bayerische Gymnasium (Masterplan BAYERN DIGITAL II)
- Inklusion im Informatikunterricht
- PAPI: Practical Approximate Pattern Matching with Index Structures, funded by the DFG (German Research Foundation) as part of the focus program 1307 Algorithm Engineering.
Academic Activities
Associate editor (AE) / Program committee (PC) / Reviewer for the following organizations, journals, and conferences:
- TOCE Journal (AE): ACM Transactions on Computing Education
- WiPSCE (PC): Workshop in Primary and Secondary Computing Education
- INFOS (PC): GI-Fachtagung Informatik und Schule
- EDUCON (PC): IEEE Global Engineering Education Conference
- DFG: Deutsche Forschungsgemeinschaft
- BMBWF: Bundesministerium für Bildung, Wissenschaft und Forschung (Österreich) / OeAD Österreichischer Austauschdienst
- CC2020: ACM/IEEE Computing Curricula 2020
- CSE Journal: Computer Science Education
- CSE: IEEE International Conference on Computational Science and Engineering
- ICALP: International Colloquium on Automata, Languages and Programming
- CSR: International Computer Science Symposium in Russia
- PARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware
- WG: International Workshop on Graph-Theoretic Concepts in Computer Science
Conference organization:
- till 2022: Tag der Informatiklehrerinnen und -lehrer in Niedersachsen und Bremen
- JASS 2012: Joint Advanced Student School in St. Petersburg
Member of the organization committee - ISSAC 2010: International Symposium on Symbolic and Algebraic Computation
Member of the local organization committee
Publications
Showing results 1 - 31 out of 31
2024
Amanuel, Y., Garlisch, J., & Krugel, J. (2024). Block-Based Programming Learning Tool for ML and AI Education (Work in Progress). In 2024 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-3). ( IEEE Global Engineering Education Conference). https://doi.org/10.1109/EDUCON60312.2024.10578627
Buttke, H., & Krugel, J. (2024). Information Encoding in Computer Science Education Using the Cup Song. In EDUCON 2024 - IEEE Global Engineering Education Conference, Proceedings (IEEE Global Engineering Education Conference, EDUCON). IEEE Computer Society. https://doi.org/10.1109/EDUCON60312.2024.10578599
Buttke, H., & Krugel, J. (2024). Information Encoding Modeling in Computer Science Education. In T. Michaeli, S. Sentance, & N. Bergner (Eds.), WiPSCE '24: Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research Article 28 https://doi.org/10.1145/3677619.3678125
Dieckmann, T., Hussy-Kramer, A., & Krugel, J. (2024). A Hybrid Course System on Artificial Intelligence: Insights Into the Didactic Support of Instructors. In 2024 IEEE 3rd German Education Conference (GECon) (pp. 1-6) https://doi.org/10.1109/GECon62014.2024.10734022
2023
Fleger, C.-B., Amanuel, Y., & Krugel, J. (2023). Learning Tools Using Block-Based Programming for AI Education. In Proceedings of the 2022 IEEE Global Engineering Education Conference, EDUCON 2023 ( IEEE Global Engineering Education Conference). IEEE Computer Society. https://doi.org/10.1109/EDUCON54358.2023.10125154
Stanja, J., Gritz, W., Krugel, J., Hoppe, A., & Dannemann, S. (2023). Formative assessment strategies for students' conceptions—The potential of learning analytics. British Journal of Educational Technology, 54(1), 58-75. https://doi.org/10.1111/bjet.13288, https://doi.org/10.15488/13652
Steinmaurer, A., Savic, R., Krugel, J., & Gütl, C. (2023). Analyzing Social Networks and Learning Content on a Discussion Forum of an Introductory Programming MOOC in Higher Education. In Proceedings of 2023 IEEE Learning With MOOCS (LWMOOCS) IEEE. https://doi.org/10.1109/lwmoocs58322.2023.10305937
Stender, B., & Krugel, J. (2023). Introducing fundamental ideas as a didactic approach for vocational education. In Proceedings of the 2023 IEEE German Education Conference (GeCon) IEEE. https://doi.org/10.1109/GECon58119.2023.10295075
Landesinitiative n-21: Schulen in Niedersachsen online e. V. , Krugel, J. A. (Ed.), Lilge, T., Becker, M., Bartholdt, M. N., Oel, F., May, I., Bersiner, M., Dos Anjos, V., Tekaya, A., Strating, H., Rokossa, D., Egbers, R., Icken, F., Auf der Landwehr, M., Albersmann, J., Röben, P., Wallhoff, F., Landherr, J., ... Neiß-Theuerkauff, T. (2023). Roboter im Unterricht: Mensch-Roboter-Kollaboration im schulischen Einsatz. https://www.n-21.de/portal/seiten/publikationen-900000090-10056.html
2022
Hubwieser, P., Krugel, J. A., Talbot, M., Striewe, M., & Goedicke, M. (2022). Empirical Definition of Object-oriented Programming Competencies: Combining Automated Assessment and Item Response Theory to Define Competencies for Implementing Abstract Data Types. Institutionelles Repositorium Leibniz Universität Hannover. https://doi.org/10.15488/11962
Kögl, A., Hubwieser, P., Talbot, M., Krugel, J., Striewe, M., & Goedicke, M. (2022). Efficient Structural Analysis of Source Code for Large Scale Applications in Education. In M. Jemni, I. Kallel, & A. Akkari (Eds.), Proceedings of the 2022 IEEE Global Engineering Education Conference, EDUCON 2022 (pp. 24-30). (IEEE Global Engineering Education Conference, EDUCON; Vol. 2022-March). IEEE Computer Society. https://doi.org/10.1109/educon52537.2022.9766748
Steinmaurer, A., Schatz, C., Krugel, J., & Gütl, C. (2022). Analyzing Behavioral Patterns in an Introductory Programming MOOC at University Level. In Proceedings of 2022 IEEE Learning With MOOCS (LWMOOCS) (pp. 114-119). IEEE. https://doi.org/10.1109/lwmoocs53067.2022.9927886
Stender, B., & Krugel, J. (2022). Basiskonzepte und Fundamentale Ideen: Ein Blick auf die Situation in der Elektrotechnik. In G. Kammasch, S. Keil, & D. Winkler (Eds.), Produktions- und Dienstleistungsstrukturen der Zukunft im Fokus. Wege zu technischer Bildung: Referate der 15. Ingenieurpädagogischen Regionaltagung 2021 an der Hochschule Zittau/Görlitz vom 17.-19. Juni 2021 (pp. 217-222)
2021
Carmona-Mesa, J. A., Krugel, J. A., & Villa-Ochoa, J. A. (2021). La formación de futuros profesores en tecnología: Aportes al debate actual sobre los Programas de Licenciatura en Colombia. In A. Richit, & H. Oliveira (Eds.), Formação de Professores e Tecnologias Digitais (pp. 35-61). Livraria da Física. https://livrariadafisica.com.br/detalhe_produto.aspx?id=149982
2020
Krugel, J. A., Hubwieser, P., Goedicke, M., Striewe, M., Talbot, M., Olbricht, C., Schypula, M., & Zettler, S. (2020). Automated Measurement of Competencies and Generation of Feedback in Object-Oriented Programming Courses. In A. Cardoso, G. R. Alves, & T. Restivo (Eds.), Proceedings of the 2020 IEEE Global Engineering Education Conference, EDUCON 2020 (pp. 329-338). Article 9125323 https://doi.org/10.1109/educon45650.2020.9125323
Krugel, J. A., & Ruf, A. (2020). Learners' Perspectives on Block-Based Programming Environments: Code.Org vs. Scratch. In T. Brinda, & M. Armoni (Eds.), Proceedings of the 15th Workshop in Primary and Secondary Computing Education, WiPSCE 2020 Article 3421615 (ACM International Conference Proceeding Series). https://doi.org/10.1145/3421590.3421615
Krugel, J. A., & Quiroz-Vallejo, D. A. (2020). Pensamiento Computacional, Currículo e Interdisciplinariedad: Una entrevista a Johannes Krugel. Uni-pluriversidad, 20(1), 197-204. https://doi.org/10.17533/udea.unipluri.20.1.11
Krugel, J. A., & Hubwieser, P. (2020). Web-Based Learning in Computer Science: Insights into Progress and Problems of Learners in MOOCs. In Non-Formal and Informal Science Learning in the ICT Era (pp. 51-79). (Lecture Notes in Educational Technology). Springer. https://doi.org/10.1007/978-981-15-6747-6_4
2019
Selvanathan, H. P., Leidner, B., Petrovic, N., Prelic, N., Ivanek, I., Krugel, J. A., & Bjekić, J. (2019). Wedialog.Net: A quantitative field test of the effects of online intergroup dialogue in promoting justice- versus harmony-oriented outcomes in Bosnia and Serbia. Peace and Conflict: Journal of Peace Psychology, 25(4), 287-299. https://doi.org/10.1037/pac0000395
2018
Krugel, J. A., & Hubwieser, P. (2018). Strictly Objects First: A Multipurpose Course on Computational Thinking. In Computational Thinking in the STEM Disciplines: Foundations and Research Highlights (pp. 73-98) https://doi.org/10.1007/978-3-319-93566-9_5
Selvanathan, H. P., Leidner, B., Ivanek, I., Petrovic, N., & Krugel, J. (2018). WeDialog.net: Building and Empirically Evaluating Online Intergroup Dialouge in Conflict-Ridden Societies. Paper presented at 9th Annual Convention of the Society for Personality and Social Psychology (SPSP'18), Atlanta, United States.
2017
Danielsiek, H., Hubwieser, P., Krugel, J., Magenheim, J., Ohrndorf, L., Ossenschmidt, D., Schaper, N., & Vahrenhold, J. (2017). Kompetenzbasierte Gestaltungsempfehlungen für Informatik-Tutorenschulungen. In M. Eibl, & M. Gaedke (Eds.), 47. Jahrestagung der Gesellschaft fur Informatik, Informatik 2017 (pp. 241-254). (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft für Informatik (GI); Vol. 275). Gesellschaft fur Informatik (GI). https://doi.org/10.18420/in2017_18
Danielsiek, H., Vahrenhold, J., Hubwieser, P., Krugel, J. A., Magenheim, J., Ohrndorf, L., Ossenschmidt, D., & Schaper, N. (2017). Undergraduate Teaching Assistants in Computer Science: Teaching-Related Beliefs, Tasks, and Competences. In IEEE Global Engineering Education Conference (pp. 718-725). Article 7942927 (IEEE Global Engineering Education Conference, EDUCON). https://doi.org/10.1109/educon.2017.7942927
Krugel, J. A., & Hubwieser, P. (2017). Computational Thinking as Springboard for Learning Object-Oriented Programming in an Interactive MOOC. In Proceedings of 2017 IEEE Global Engineering Education Conference, EDUCON 2017 (pp. 1709-1712). Article 7943079 (IEEE Global Engineering Education Conference, EDUCON). https://doi.org/10.1109/educon.2017.7943079
Krugel, J. A., & Hubwieser, P. (2017). Kompetenzerwerb von Tutorinnen und Tutoren in der Informatik : Schlussbericht der Technischen Universität München : Fördervorhaben: Verbund KETTI: Kompetenzerwerb von Tutorinnen und Tutoren in der Informatik, Teilprojekt der Technischen Universität München : Förderzeitraum: 1.10.2014 - 30.09.2017 : Berichtszeitraum: 01.10.2014 - 30.09.2017, KETTI.
Krugel, J. A. (2017). Verbundprojekt KETTI: Kompetenzerwerb von Tutorinnen und Tutoren in der Informatik. In KoBF Working Paper Lehr-/Lernformen. Perspektiven aus der Begleitforschung zum Qualitätspakt Lehre
Krugel, J. A. (2017, Apr 24). Videobasierte Tutorenausbildung mit Blended Learning.
2016
Krugel, J. A. (2016). Approximate Pattern Matching with Index Structures. [Doctoral thesis, Technical University of Munich (TUM)].
2013
Capovilla, D., Krugel, J. A., & Hubwieser, P. (2013). Teaching algorithmic thinking using haptic models for visually impaired students. In Learning and Teaching in Computing and Engineering https://doi.org/10.1109/LaTiCE.2013.14
2011
Dau, A., & Krugel, J. A. (2011). tt-analyze and tt-generate: Tools to Analyze and Generate Sequences with Trained Statistical Properties. In Proceedings of the German Conference on Bioinformatics
2008
Krugel, J. A. (2008). Suche von ähnlichen Datensätzen unter Echtzeitbedingungen.
