Dipl.-Inf. Holger Danielsiek

2018

• Danielsiek, Holger, Toma, Laura, and Vahrenhold, Jan. 2018. “Reprint: An Instrument to Assess Self-Efficacy in Introductory Algorithms Courses.” ACM Inroads, № 9 (1): 56–65. doi: 10.1145/3105726.3106171.

2017

• Danielsiek, H, Hubwieser, P, Krugel, J, Magenheim, J, Ohrndorf, L, Ossenschmidt, D, Schaper, N, and Vahrenhold, J. et al. 2017. “Undergraduate Teaching Assistants in Computer Science: Teaching-Related Beliefs, Tasks, and Competences.” in Proceedings of the IEEE Global Engineering Education Conference (EDUCON), edited by C Douligeris, ME Auer, C Sgouropoulou, C Stracke and M Xenos. New York City: Wiley-IEEE Press. doi: 10.1109/EDUCON.2017.7942927.
• Danielsiek, H, Toma, L, and Vahrenhold, J. 2017. “An Instrument to Assess Self-Efficacy in Introductory Algorithms Courses.” in Proceedings of the thirteenth annual ACM International Computing Education Research (ICER) conference, edited by J Tenenberg, D Chinn, L Malmi, A Korhonen and J Sheard. New York, NY: ACM Press. doi: 10.1145/3105726.3106171.
• Danielsiek, H, Hubwieser, P, Krugel, J, Magenheim, J, Ohrndorf, L, Ossenschmidt, D, Schaper, N, and Vahrenhold, J. et al. 2017. “Kompetenzbasierte Gestaltungsempfehlungen für Informatik-Tutorenschulungen.” in INFORMATIK 2017, Vol. P-275 of Lecture Notes in Informatics, edited by M Eibl and M Gaedke. Bonn: Gesellschaft für Informatik. doi: 10.18420/in2017_18.

2016

• Danielsiek, H, and Vahrenhold, J. 2016. “Stay on These Roads: Potential Factors Indicating Students' Performance in a CS2 Course.” in Proceedings of the 47th ACM Technical Symposium on Computer Science Education (SIGCSE 2016), edited by C Alphonce, J Tims, ME Caspersen and S Edwards. New York, NY: ACM Press. doi: 10.1145/2839509.2844591.

2013

Research Articles in Edited Proceedings (Conferences)

• Danielsiek, H, Humbert, L, and Vahrenhold, J. 2013. “Research-Based Learning Revisited: On Using a Delphi Process in Informatics Teacher Education.” in Proceedings of the 6th Conference on Informatics in Schools: Situation, Evolution and Perspectives (ISSEP 2013), Vol. 7780 of Lecture Notes in Computer Science, edited by I Diethelm and R Mittermeir. Heidelberg: Springer. doi: 10.1007/978-3-642-36617-8_17.

Research Article (Book Contributions)

• Danielsiek, Holger, Paul, Wolfgang, and Vahrenhold, Jan. 2013. “Entwurf eines Diagnosekonzepts für die Sekundarstufe I am Beispiel des Fachs Informatik.” in Diagnose und individuelle Förderung in der MINT-Lehrerbildung: Das Projekt dortMINT, edited by Stephan Hußmann and Christoph Selter. Münster: Waxmann.
• Anus, Sandra, Danielsiek, Holger, Fischer, Sandra, Girulat, Annika, Graf, Dittmar, Jelemenská, Patrícia, Melle, Insa, Nührenbörger, Marcus, Paul, Wolfgang, and Vahrenhold, Jan. et al. 2013. “Diagnose und individuelle Förderung erlernen.” in Diagnose und individuelle Förderung in der MINT-Lehrerbildung: Das Projekt dortMINT, edited by Stephan Hußmann and Christoph Selter. Münster: Waxmann.

2012

• Danielsiek, H, Paul, W, and Vahrenhold, J. 2012. “Detecting and Understanding Students' Misconceptions Related to Algorithms and Data Structures.” in Proceedings of the 43rd SIGCSE Technical Symposium on Computer Science Education (SICGSE 2012), edited by LAS King, DR Musicant, T Camp and PT Tymann. New York, NY: ACM Press. doi: 10.1145/2157136.2157148.

2011

• Kramer, O, and Danielsiek, H. 2011. “A Clustering-Based Niching Framework for the Approximation of Equivalent Pareto-Subsets.” International Journal of Computational Intelligence and Applications, № 10 (03): 295–311. doi: 10.1142/S1469026811003112.

2010

Research Articles (Journals)

• Preuss, M, Beume, N, Danielsiek, H, Hein, T, Naujoks, B, Piatkowski, N, Stüer, R, Thom, A, and Wessing, S. et al. 2010. “Towards Intelligent Team Composition and Maneuvering in Real-Time Strategy Games.” IEEE Transactions on Computational Intelligence and AI in Games, № 2 (2): 82–98. doi: 10.1109/TCIAIG.2010.2047645.

Research Articles in Edited Proceedings (Conferences)

• Kramer, O, and Danielsiek, H. 2010. “DBSCAN-Based Multi-Objective Niching to Approximate Equivalent Pareto-Subsets.” in Proceedings of the 12th annual conference on Genetic and evolutionary computation, GECCO '10 New York, NY: ACM Press. doi: 10.1145/1830483.1830575.

2008

• Beume, N, Danielsiek, H, Eichhorn, C, Naujoks, B, Preuss, M, Stiller, K, and Wessing, S. et al. 2008. “Measuring Flow as Concept for Detecting Game Fun in the Pac-Man Game.” in Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2008, June 1-6, 2008, Hong Kong, China doi: 10.1109/CEC.2008.4631264.
• Danielsiek, H, Stüer, R, Thom, A, Beume, N, Naujoks, B, and Preuss, M. 2008. “Intelligent Moving of Groups in Real-Time Strategy Games.” in Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2008, Perth, Australia, 15-18 December, 2008 doi: 10.1109/CIG.2008.5035623.