Skip to main content

Teaching, Learning and Assessment of Agents and Robotics in a Computer Science Curriculum

  • Chapter
  • First Online:
Intelligent Distributed Computing XI (IDC 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 737))

Included in the following conference series:

  • 761 Accesses

Abstract

This paper presents our experience in integrating agents and robotics in our Computer Science Curriculum. We present a series of modules throughout our curriculum that progressively address these themes and other AI related topics, which ends with a specialised final year module central to teaching and learning multi-agent systems and principles of robotics. As part of this module a Robotics Challenge is organised, allowing students to integrate the knowledge they obtained in previously attended modules, and to practically apply knowledge and skills in order to solve a real problem.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.acm.org/education/CS2013-final-report.pdf.

  2. 2.

    https://www.acm.org/publications/class-2012.

  3. 3.

    http://www.accreditedqualifications.org.uk/european-qualifications-framework-eqf.html.

  4. 4.

    http://robotseducate.us

  5. 5.

    https://www.robomindacademy.com.

  6. 6.

    https://www.lego.com/en-us/mindstorms.

  7. 7.

    http://www.emethes.gr [inGreek].

  8. 8.

    https://www.britishcouncil.gr/en/events/thessaloniki-science-festival.

References

  1. Álvarez, A., Larrañaga, M.: Experiences incorporating lego mindstorms robots in the basic programming syllabus: lessons learned. J. Intell. Robot. Syst. 81(1), 117 (2016)

    Google Scholar 

  2. Bloom, B., Krathwohl, D., Masia, B.: Bloom Taxonomy of Educational Objectives. MA. Pearson Education, Allyn and Bacon, Boston (1984)

    Google Scholar 

  3. Danahy, E., Wang, E., Brockman, J., Carberry, A., Shapiro, B., Rogers, C.B.: Lego-based robotics in higher education: 15 years of student creativity. Int. J. Advanc. Robot. Syst. 11(2), 27 (2014)

    Article  Google Scholar 

  4. Estrada, F.: Practical robotics in computer science using the Lego NXT, an experience report. In: Proceedings of the 22nd Annual Conference on Innovation and Technology in Computer Science Education, Bologna, Italy (2017)

    Google Scholar 

  5. Sakellariou, I., Kefalas, P., Stamatopoulou, I.: Enhancing NetLogo to simulate BDI communicating agents. In: Hellenic Conference on Artificial Intelligence, pp. 263–275. Springer (2008)

    Google Scholar 

  6. Sakellariou, I., Kefalas, P., Stamatopoulou, I.: Teaching intelligent agents using NetLogo. ACM-IFIP IEEIII, pp. 209–221 (2008)

    Google Scholar 

  7. Stamatopoulou, I., Fasli, M., Kefalas, P.: Introducing AI and IA into a non computer science graduate programme. In: Multi-Agent Systems for Education and Interactive Entertainment: Design, Use and Experience: Design, Use and Experience, pp. 89–100 (2010)

    Google Scholar 

  8. Wiens, J., Monett, D.: Using BDI-extended NetLogo agents in undergraduate CS research and teaching. In: Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) (2013)

    Google Scholar 

  9. Wilensky, U., Rand, W.: An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. MIT Press (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ioanna Stamatopoulou .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Cite this chapter

Stamatopoulou, I., Dimopoulos, K., Kefalas, P. (2018). Teaching, Learning and Assessment of Agents and Robotics in a Computer Science Curriculum. In: Ivanović, M., Bădică, C., Dix, J., Jovanović, Z., Malgeri, M., Savić, M. (eds) Intelligent Distributed Computing XI. IDC 2017. Studies in Computational Intelligence, vol 737. Springer, Cham. https://doi.org/10.1007/978-3-319-66379-1_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-66379-1_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66378-4

  • Online ISBN: 978-3-319-66379-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics