Publications

  • Matthias Linhuber, Jan Philip Bernius, and Stephan Krusche. Constructive alignment in modern computing education: an open-source computer-based examination system. In 23nd Koli Calling International Conference on Computing Education Research, Koli '23. November 2023. doi:10.35542/osf.io/nmpf6.

  • Stefanie Manger, Maximilian Sölch, Matthias Linhuber, Christoph Weinhuber, Philipp Zagar, and Stephan Krusche. Is online teaching dead after covid-19? student preferences for programming courses. In 35th International Conference on Software Engineering Education and Training, CSEE&T '23, 89–98. IEEE, August 2023. doi:10.1109/CSEET58097.2023.00020.

  • Jonnathan Berrezueta-Guzman, Markus Paulsen, and Stephan Krusche. Plagiarism detection and its effect on the learning outcomes. In 35th International Conference on Software Engineering Education and Training, CSEE&T '23, 99–108. IEEE, August 2023. doi:10.1109/CSEET58097.2023.00021.

  • Jonnathan Berrezueta-Guzman and Stephan Krusche. Recommendations to create programming exercises to overcome chatgpt. In 35th International Conference on Software Engineering Education and Training, CSEE&T '23, 147–151. IEEE, August 2023. doi:10.1109/CSEET58097.2023.00031.

  • Stephan Krusche and Jonnathan Berrezueta-Guzman. Introduction to programming using interactive learning. In 35th International Conference on Software Engineering Education and Training, CSEE&T '23, 178–182. IEEE, August 2023. doi:10.1109/CSEET58097.2023.00037.

  • Maximilian Sölch, Moritz Aberle, and Stephan Krusche. Integrating competency-based education in interactive learning systems. In 13th International Conference on Learning Analytics & Knowledge, LAK '23. March 2023. doi:10.48550/ARXIV.2309.12343.

  • Jan Philip Bernius, Stephan Krusche, and Bernd Bruegge. Machine learning based feedback on textual student answers in large courses. Computers and Education: Artificial Intelligence, June 2022. doi:10.1016/j.caeai.2022.100081.

  • Stephan Krusche. Semi-automatic assessment of modeling exercises using supervised machine learning. In 55th Hawaii International Conference on System Sciences, HICSS '22, 1–10. ScholarSpace, January 2022. URL: http://hdl.handle.net/10125/79439.

  • Gerhard Hagerer, Laura Lahesoo, Miriam Anschütz, Stephan Krusche, and Georg Groh. An analysis of programming course evaluations before and after the introduction of an autograder. In 19th International Conference on Information Technology Based Higher Education and Training, ITHET '21, 1–9. IEEE, November 2021. doi:10.1109/ITHET50392.2021.9759809.

  • Jan Philip Bernius, Stephan Krusche, and Bernd Bruegge. A machine learning approach for suggesting feedback in textual exercises in large courses. In 8th ACM Conference on Learning @ Scale, L@S '21, 173–182. Association for Computing Machinery (ACM), June 2021. doi:10.1145/3430895.3460135.

  • Anne Münzner, Nadja Bruckmoser, and Alexander Meschtscherjakov. Can i code? user experience of an assessment platform for programming assignments. In 2nd International Computer Programming Education Conference, volume 91 of ICPEC '21, 18:1–18:12. Schloss Dagstuhl – Leibniz-Zentrum für Informatik, May 2021. doi:10.4230/OASIcs.ICPEC.2021.18.

  • Jan Philip Bernius. Toward computer-aided assessment of textual exercises in very large courses. In 52nd ACM Technical Symposium on Computer Science Education, SIGCSE '21, 1386. Association for Computing Machinery (ACM), March 2021. doi:10.1145/3408877.3439703.

  • Jan Philip Bernius, Anna Kovaleva, Stephan Krusche, and Bernd Bruegge. Towards the automation of grading textual student submissions to open-ended questions. In 4th European Conference of Software Engineering Education, ECSEE '20, 61–70. Association for Computing Machinery (ACM), June 2020. doi:10.1145/3396802.3396805.

  • Stephan Krusche, Nadine von Frankenberg, Lara Marie Reimer, and Bernd Bruegge. An interactive learning method to engage students in modeling. In 42nd International Conference on Software Engineering, Software Engineering Education and Training, ICSE-SEET '20, 12–22. ACM, June 2020. doi:10.1145/3377814.3381701.

  • Jan Philip Bernius, Anna Kovaleva, and Bernd Bruegge. Segmenting student answers to textual exercises based on topic modeling. In 17th Workshop on Software Engineering im Unterricht der Hochschulen, SEUH '20, 72–73. CEUR-WS.org, February 2020. URL: https://ceur-ws.org/Vol-2531/poster03.pdf.

  • Christopher Laß, Stephan Krusche, Nadine von Frankenberg, and Bernd Bruegge. Stager: simplifying the manual assessment of programming exercises. In 16th Workshop on Software Engineering im Unterricht der Hochschulen, SEUH '19, 34–43. CEUR-WS.org, February 2019. URL: https://ceur-ws.org/Vol-2358/paper-03.pdf.

  • Jan Philip Bernius and Bernd Bruegge. Toward the automatic assessment of text exercises. In 2nd Workshop on Innovative Software Engineering Education, ISEE '19, 19–22. CEUR-WS.org, February 2019. URL: https://ceur-ws.org/Vol-2308/isee2019paper04.pdf.

  • Stephan Krusche and Andreas Seitz. Increasing the interactivity in software engineering moocs - A case study. In 52nd Hawaii International Conference on System Sciences, HICSS '19, 1–10. ScholarSpace, January 2019. URL: https://hdl.handle.net/10125/60197.

  • Stephan Krusche and Andreas Seitz. Artemis: an automatic assessment management system for interactive learning. In 49th ACM Technical Symposium on Computer Science Education, SIGCSE '18, 284–289. ACM, February 2018. doi:10.1145/3159450.3159602.

  • Stephan Krusche, Nadine von Frankenberg, and Sami Afifi. Experiences of a software engineering course based on interactive learning. In 15th Workshop on Software Engineering im Unterricht der Hochschulen, SEUH '17, 32–40. CEUR-WS.org, February 2017. URL: https://ceur-ws.org/Vol-1790/paper04.pdf.

  • Stephan Krusche, Andreas Seitz, Jürgen Börstler, and Bernd Brügge. Interactive learning: increasing student participation through shorter exercise cycles. In 19th Australasian Computing Education Conference, ACE '17, 17–26. ACM, January 2017. doi:10.1145/3013499.3013513.