Software Engineering Education Going Agile pp 73-80

Part of the Progress in IS book series (PROIS) | Cite as

Review of a Problems-First Approach to First Year Undergraduate Programming

Chapter

Abstract

This paper, predominantly discusses the teaching of programming and problem solving to undergraduate first year computing students, using robots/robot simulators and visual programming to emulate the robot tasks. The needs to focus initial programming education on problem solving, prior to the teaching of programming syntax and software design methodology is also considered. The main vehicle for this approach is a robot/robot simulation programmed in Java, followed by the programming of a visual representation/simulation to develop programming skills.

Keywords

Active learning Problems-first Problem solving Robots Simulation Computational thinking Visual programming Problem-based learning Project-based learning 

References

  1. 1.
    Beaumont, C., & Fox, C.: Learning programming: Enhancing quality through problem-based learning. In: Proceeding of 4th Annual Conference of the subject centre for Information and Computer Sciences of the Higher Education Academy (pp. 90-95). Newtownabbey, Northern Ireland: Higher Education Academy (2003).Google Scholar
  2. 2.
    Hill G. J., Turner S.: Chapter 7: Problems First. In: Software Industry-Oriented Education Practices and Curriculum Development: Experiences and Lessons, M Hussey, X Xu & B Wu (Eds.), IGI Global, USA, pp 110-126, ISBN: 978-1-60960-797-5 (2011).
  3. 3.
    Hill, G., Turner, S. J.: Problems first, second and third. In: International Journal of Quality Assurance in Engineering and Technology Education (IJQAETE). 3(3), pp. 88-109. 2155-496X (2014).Google Scholar
  4. 4.
    Williams, A. B.: The qualitative impact of using Lego Mindstorms robot to teach computer engineering. In: Institute of Electrical and Electronic Engineering (IEEE) Transactions on Education, 46, 206 (2003).Google Scholar
  5. 5.
    Štuikys, V., Burbaitė, R., Damaševičius, R.: Teaching of Computer Science Topics Using Meta-Programming-Based GLOs and LEGO Robots. In: Informatics in Education - An International Journal (Vol12_1), pp125-142 (2013).Google Scholar
  6. 6.
    Kariyawasam, K., A., Turner, S., Hill, G.: Is it Visual? The importance of a Problem Solving Module within a Computing course. In: Computer Education, Volume 10, Issue 166, May 2012, pp. 5-7, ISSN: 1672-5913 (2012).Google Scholar
  7. 7.
    HEA-ICS Development Fund: HEA-ICS Development Fund [online] Available from: http://www.ics.heacademy.ac.uk/projects/development-fund/index.php [Accessed: February 2015] (2015).
  8. 8.
    HEA-ICS/Microsoft Innovative Teaching Fund: Developing problem-solving teaching materials based upon Microsoft Robotics Studio [online] Available from: http://www.ics.heacademy.ac.uk/projects/development-fund/fund_details.php?id = 88 [Accessed February 2015] (2015).
  9. 9.
    Adams, J. P., & Turner, S. J.: Problem Solving and Creativity for Undergraduate Engineers: process or product? In: International Conference on Innovation, Good Practice and Research in Engineering Education July 14-16, 2008, Loughborough, England, Higher Education Academy. 9781904804659 (2008).Google Scholar
  10. 10.
    Adams, J., Turner, S., Kaczmarczyk, S., Picton, P., & Demian, P.: Problem solving and creativity for undergraduate engineers: Findings of an action research project involving robots. In: International Conference on Engineering Education (ICEE 2008), Budapest, Hungary (2008).Google Scholar
  11. 11.
    Turner S., Hill G. J.: Robots in Problem-Solving and Programming. In: 8th Annual Conference of the Subject Centre for Information and Computer Sciences, University of Southampton, 28th - 30th August 2007, pp 82-85 ISBN 0-978-0-9552005-7-1 (2007).Google Scholar
  12. 12.
    Gallopoulos, E., Houstis, E., Rice, J. R.: Computer as Thinker/Doer. In: Problem-Solving Environments for Computational Science, IEEE Computational Science and Engineering pp 11-23 (1994).Google Scholar
  13. 13.
    Houghton, W.: How can Learning and Teaching Theory assist Engineering Academics? [online] School of Engineering - University of Exeter. Available from: https://www.heacademy.ac.uk/sites/default/files/learning-teaching-theory.pdf [Accessed: November 2015] (2004).
  14. 14.
    Bloom, B. S. (Ed.): Taxonomy of educational objectives. In: Handbook I: Cognitive domain. White Plains, NY: Longman (1956).Google Scholar
  15. 15.
    JICC5: Java & the Internet in the Computing Curriculum, Higher Education Academy (HEA) – Information and Computer Sciences (ICS) Conference, South Bank University, London, 22nd Jan, [online] Available from: http://www.ics.heacademy.ac.uk/events/displayevent.php?id=127 [Accessed: February 2015] (2001).
  16. 16.
    Computing Curricula: IEEE CS, ACM Joint Task Force on Computing Curricula, IEEE Computer Society Press and ACM Press. [online] Available from http://www.acm.org/education/curricula.html [Accessed: February, 2015] (2001).
  17. 17.
    Koulouri, T., Lauria, S., Macredie, R., D.: Teaching introductory programming: A quantitative evaluation of different approaches. In: ACM Trans. Comput. Educ. 14, 4, Article 26 (December 2014), 28 pages, DOI: http://dx.doi.org/10.1145/2662412 (2014).
  18. 18.
    Turner S., Hill G. J.: The Inclusion of Robots Within The Teaching OF Problem Solving: Preliminary Results. In: 7th Annual Conference of the ICS HE Academy, Trinity College, Dublin, 29th - 31st August 2006, Proceedings pg 241-242 ISBN 0-9552005-3-9 (2006).Google Scholar
  19. 19.
    Turner S., Hill G. J.: Robots within the teaching of Problem-Solving. In: ITALICS, HEA-ICS, Volume 7 Issue 1, June 2008, pp. 108-119, ISSN: 1473-7507 (2008).
  20. 20.
    Turner S., Hill G. J.: Innovative Use of Robots and Graphical Programming in Software Education. In: Computer Education, Volume 9, May 2010, pp. 54-6, ISSN: 1672-5913 (2010).Google Scholar
  21. 21.
    Turner S, Hill G, Adams: Robots in problem solving in programming. In: 9th 1-day Teaching of Programming Workshop, University of Bath, 6th April 2009 (2009).Google Scholar
  22. 22.
    Gold. N.: Motivating Students in Software Engineering Group Projects: An Experience Report. In: Innovation in Teaching and Learning in Information and Computer Sciences 9(1), 10-19. DOI: 10.11120/ital.2010.09010010 (2010).Google Scholar
  23. 23.
    Greenfoot: Teach and Learn Java Programming. [online] Available from http://www.greenfoot.org/ [Accessed: February 1, 2015] (2015).
  24. 24.
    Microsoft: Microsoft robotics studio [online] Available from: http://msdn2.microsoft.com/en-us/robotics/aa731520.aspx [Accessed: February 2015] (2006).
  25. 25.
    Chickering, A. W., Gamson. Z. F.: Seven Principles for Good Practice in Undergraduate Education. In: AAHE Bulletin 39:3-7. ED 282 491.6 pp. MF-01; PC-01 (1987).Google Scholar
  26. 26.
    Savin-Baden, M. & Wilkie, K.: (eds) Challenging Research in Problem-based Learning. Maidenhead: Open University Press/SRHE (2004).Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Computing and Immersive TechnologiesUniversity of NorthamptonNorthamptonUK

Personalised recommendations