Teaching machine learning to design students

B.J.J. Vlist, van der, H.F.M. van de Westelaken, C. Bartneck, J. Hu, R.M.C. Ahn, E.I. Barakova, F.L.M. Delbressine, L.M.G. Feijs

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

11 Citations (Scopus)
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Abstract

Machine learning is a key technology to design and create intelligent systems, products, and related services. Like many other design departments, we are faced with the challenge to teach machine learning to design students, who often do not have an inherent affinity towards technology. We successfully used the Embodied Intelligence method to teach machine learning to our students. By embodying the learning system into the Lego Mindstorm NXT platform we provide the student with a tangible tool to understand and interact with a learning system. The resulting behavior of the tangible machines in combination with the positive associations with the Lego system motivated all the students. The students with less technology affinity successfully completed the course, while the students with more technology affinity excelled towards solving advanced problems. We believe that our experiences may inform and guide other teachers that intend to teach machine learning, or other computer science related topics, to design students.
Original languageEnglish
Title of host publicationTechnologies for E-learning and digital entertainment : third international conference, Edutainment 2008, Nanjing, China, June 25-27, 2008 : proceedings
EditorsZ. Pan, X. Zhang, A. El Rhalibi
Place of PublicationBerlin
PublisherSpringer
Pages206-217
Number of pages12
ISBN (Print)978-3-540-69734-3
DOIs
Publication statusPublished - 2008

Publication series

NameLecture notes in computer science
Volume5093
ISSN (Print)0302-9743

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Computer aided instruction
Learning systems
Students
Intelligent systems
Computer science

Cite this

Vlist, van der, B. J. J., van de Westelaken, H. F. M., Bartneck, C., Hu, J., Ahn, R. M. C., Barakova, E. I., ... Feijs, L. M. G. (2008). Teaching machine learning to design students. In Z. Pan, X. Zhang, & A. El Rhalibi (Eds.), Technologies for E-learning and digital entertainment : third international conference, Edutainment 2008, Nanjing, China, June 25-27, 2008 : proceedings (pp. 206-217). (Lecture notes in computer science; Vol. 5093). Berlin: Springer. https://doi.org/10.1007/978-3-540-69736-7_23
Vlist, van der, B.J.J. ; van de Westelaken, H.F.M. ; Bartneck, C. ; Hu, J. ; Ahn, R.M.C. ; Barakova, E.I. ; Delbressine, F.L.M. ; Feijs, L.M.G. / Teaching machine learning to design students. Technologies for E-learning and digital entertainment : third international conference, Edutainment 2008, Nanjing, China, June 25-27, 2008 : proceedings. editor / Z. Pan ; X. Zhang ; A. El Rhalibi. Berlin : Springer, 2008. pp. 206-217 (Lecture notes in computer science).
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Vlist, van der, BJJ, van de Westelaken, HFM, Bartneck, C, Hu, J, Ahn, RMC, Barakova, EI, Delbressine, FLM & Feijs, LMG 2008, Teaching machine learning to design students. in Z Pan, X Zhang & A El Rhalibi (eds), Technologies for E-learning and digital entertainment : third international conference, Edutainment 2008, Nanjing, China, June 25-27, 2008 : proceedings. Lecture notes in computer science, vol. 5093, Springer, Berlin, pp. 206-217. https://doi.org/10.1007/978-3-540-69736-7_23

Teaching machine learning to design students. / Vlist, van der, B.J.J.; van de Westelaken, H.F.M.; Bartneck, C.; Hu, J.; Ahn, R.M.C.; Barakova, E.I.; Delbressine, F.L.M.; Feijs, L.M.G.

Technologies for E-learning and digital entertainment : third international conference, Edutainment 2008, Nanjing, China, June 25-27, 2008 : proceedings. ed. / Z. Pan; X. Zhang; A. El Rhalibi. Berlin : Springer, 2008. p. 206-217 (Lecture notes in computer science; Vol. 5093).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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AB - Machine learning is a key technology to design and create intelligent systems, products, and related services. Like many other design departments, we are faced with the challenge to teach machine learning to design students, who often do not have an inherent affinity towards technology. We successfully used the Embodied Intelligence method to teach machine learning to our students. By embodying the learning system into the Lego Mindstorm NXT platform we provide the student with a tangible tool to understand and interact with a learning system. The resulting behavior of the tangible machines in combination with the positive associations with the Lego system motivated all the students. The students with less technology affinity successfully completed the course, while the students with more technology affinity excelled towards solving advanced problems. We believe that our experiences may inform and guide other teachers that intend to teach machine learning, or other computer science related topics, to design students.

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Vlist, van der BJJ, van de Westelaken HFM, Bartneck C, Hu J, Ahn RMC, Barakova EI et al. Teaching machine learning to design students. In Pan Z, Zhang X, El Rhalibi A, editors, Technologies for E-learning and digital entertainment : third international conference, Edutainment 2008, Nanjing, China, June 25-27, 2008 : proceedings. Berlin: Springer. 2008. p. 206-217. (Lecture notes in computer science). https://doi.org/10.1007/978-3-540-69736-7_23