Abstract
Robotics is gaining an importance among the subjects to be studied in scientific and engineering disciplines. However, being a quite new discipline with a high degree of inter- and trans-disciplinary aspects, the teaching community cannot rely on experience, gained by a long history of experiments. With this paper we propose means to help assess and improve study programs in robotics. The approach is based on the idea of concept inventories (CIs) and related tests to derive objective information for a comparison of student groups with each other and over time, e.g. to assess learning gain for specific measures. The approach helps to further establish quality assurance in the design of robotics study programs and equips teachers with measures for a formative assessment of their work.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
European Association for Quality Assurance in Higher Education: Standards and Guidelines for Quality Assurance in the European Higher Education Area, Helsinki (2009). http://www.enqa.eu/pubs.lasso
Crosier, D., Purser, L., Smidt, H.: Trends V—Universities shaping the European higher education area. European University Association, Brussels (2007)
Vroeijenstijn, T.: A journey to uplift quality assurance in the ASEAN universities. Report of the AUNP (2006)
Ogunfunmi, T., Herman, G.L., Rahman, M.: On the use of concept inventories for circuit and systems courses. IEEE Circuit Syst. Mag. Third Quarter (2014)
Ahlgren, D. Verner, I.: 2006–2015: Robotics Olympiads: a new means to integrate theory and practice in robotics. In: Annual Conference, American Association for Engineering Education, Chicago (2006)
Wage, K.E., Buck, J.R., Wright, C.H.G., Welch, T.B.: The signal and systems concept inventory. IEEE Trans. Educ. 48(3), 448–461 (2005)
Lindell, R.S., Peak, E., Foster, T.M.: Are they all created equal? A comparison of different concept inventory development methodologies. PERC Proc. 883, 14–17 (2006)
Hestenes, D., Wells, M., Swackhamer, G.: Force Concept Inventory. The physics teacher (1992)
Gerndt, R., Lüssem, J.: Towards a robotics concept inventory. In: 6th International Conference on Robotics in Education. Yverdon-les-Bains, Switzerland (2015)
Featherstone, R.: Rigid Body Dynamics Algorithms. Springer (2008)
Kelly, A.: Mobile Robotics—Mathematics, Models and Methods. Cambridge University Press (2013)
Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. The MIT Press, 2005
http://ocw.mit.edu/courses/mechanical-engineering/2-12-introduction-to-robotics-fall-2005/syllabus Accessed 12 Mar 2016
Totté, N., Huyghe, S. Verhagen, A.: Building the curriculum in higher education—a conceptual framework. In: Enhancement and Innovation in Higher Education, Glasgow, United Kingdom (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this paper
Cite this paper
Gerndt, R., Lüssem, J. (2017). Concept Inventories for Quality Assurance of Study Programs in Robotics. In: Merdan, M., Lepuschitz, W., Koppensteiner, G., Balogh, R. (eds) Robotics in Education. Advances in Intelligent Systems and Computing, vol 457. Springer, Cham. https://doi.org/10.1007/978-3-319-42975-5_25
Download citation
DOI: https://doi.org/10.1007/978-3-319-42975-5_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-42974-8
Online ISBN: 978-3-319-42975-5
eBook Packages: EngineeringEngineering (R0)