Teaching Research Methodologies with a Robot in a CS Lab Course

  • Mathias Landhäußer
  • Sebastian WeigeltEmail author
  • Martin Blersch
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 630)


We describe a computer science lab course that teaches a scientific research methodology. Our course is based on a recent research project and augments it with a motivating goal: We program a robot based on the Lego EV3 brick with plain English. Our students developed a multi-module solution; all modules were planned, implemented, and benchmarked following a research life cycle.

The results of our case study indicate that a lab course can familiarize students with academic research methodologies. Interviews with the participants, conducted half a year after the lab course, confirm our positive impressions: Our participants indeed internalized the research life cycle and all told us that they wanted to pursue research in their upcoming curriculum. Three of four stated that the possibility to monitor progress by running solutions on the robot was highly motivating.


  1. 1.
    Anderson, L.W., Krathwohl, D.R., Bloom, B.S.: A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives. Longman (2001)Google Scholar
  2. 2.
    Bagnall, B.: Maximum LEGO EV3: Building Robots with Java Brains. Variant Press, September 2014Google Scholar
  3. 3.
    Barnett, R.: Reshaping the University: New Relationships Between Research, Scholarship and Teaching. McGraw-Hill Education, UK (2005)Google Scholar
  4. 4.
    Beckman, K., Coulter, N., Khajenoori, S., Mead, N.R.: Collaborations: Closing the industry-academia gap. IEEE Softw. 14(6), 49–57 (1997)CrossRefGoogle Scholar
  5. 5.
    Belbin, R.M.: Team Roles at Work, 2nd edn. Butterworth-Heinemann, Amsterdam; Heidelberg (2010)Google Scholar
  6. 6.
    Budde, M., Grebing, S., Burger, E., Kramer, M., Beckert, B., Beigl, M., Reussner, R.: Praxis der Forschung: Eine Lehrveranstaltung des forschungsnahen Lehrens und Lernens in der Informatik am KIT. In: Neues Handbuch Hochschullehre (NHHL). No. A 3.19, February 2016Google Scholar
  7. 7.
    Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V., Aswani, N., Roberts, I., Gorrell, G., Funk, A., Roberts, A., Damljanovic, D., Heitz, T., Greenwood, M.A., Saggion, H., Petrak, J., Li, Y., Peters, W.: Text Processing with GATE (Version 6) (2011)Google Scholar
  8. 8.
    Daun, M., Salmon, A., Tenbergen, B., Weyer, T., Pohl, K.: Industrial case studies in graduate requirements engineering courses: the impact on student motivation. In: 2014 IEEE 27th Conference on Software Engineering Education and Training, pp. 3–12, April 2014Google Scholar
  9. 9.
    Healey, M.: Linking research and teaching: disciplinary spaces. In: Barnett, R. (ed.) Reshaping the University: New Relationships Between Research, Scholarship and Teaching, pp. 30–42. McGraw-Hill/Open University Press, Maidenhead (2005)Google Scholar
  10. 10.
    Koolmanojwong, S., Boehm, B.: Using software project courses to integrate education and research: an experience report. In: 2009 22nd Conference on Software Engineering Education and Training, pp. 26–33, February 2009Google Scholar
  11. 11.
    Landhäußer, M., Weigelt, S., Tichy, W.F.: NLCI: a natural language command interpreter. Autom. Softw. Eng., August 2016Google Scholar
  12. 12.
    Richardson, I.: Preparing students for software engineering research. In: 20th Conference on Software Engineering Education Training, pp. 367–367, July 2007Google Scholar
  13. 13.
    Wohlin, C., Regnell, B.: Achieving industrial relevance in software engineering education. In: Proceedings of the 12th Conference on Software Engineering Education and Training, pp. 16–25. DUZ Verlags- und Medienhaus GmbH, March 1999Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Mathias Landhäußer
    • 1
  • Sebastian Weigelt
    • 1
    Email author
  • Martin Blersch
    • 1
  1. 1.Institute for Program Structures and Data OrganizationKarlsruhe Institute of TechnologyKarlsruheGermany

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