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RoboCode & problem-based learning: a non-prescriptive approach to teaching programming

Published: 26 June 2006 Publication History

Abstract

The fundamental principle behind Problem-based Learning (PBL) is that the problem is the driving force that initiates the learning. In order to function effectively in a PBL environment a good set of problems is required. Solving problems is a vital element within Computer Science and yet the discipline has been slow to embrace PBL as an approach to learning. The net result means that there are few good PBL problems available to assist new practitioners with implementation. PBL emphasizes a real-world approach to learning, and we present a RoboCode Competition as a candidate for a good, realistic PBL problem within the computer science discipline. We list and identify the criteria that categorise a PBL problem as good and validate the RoboCode domain against these criteria. We argue that the concept of freedom --- in different guises --- plays a key role in making PBL a good mechanism for teaching programming, and for making RoboCode a good domain for PBL.

References

[1]
T. Barrett. Who said learning couldn't be enjoyable, playful and fun?. the voice of PBL students. In PBL in Context - Bridging Work and Education pages 159--175. Tampere University Press, 2005.
[2]
J. Bierre and A. Phelps. The use of MUPPETS in an introductory Java programming course. In SIGITE04 ACM, October 2004.
[3]
E. Bonakdarian and L. White. Robocode throughout the curriculum. J. Comput. Small Coll. 19(3): 311--313, 2004.
[4]
J. Bransford, A. Brown, and R. Cocking, editors. How People Learn: Brain, Mind, Experience and School National Research Council, 2000. Committee on the Development in the Science of Learning and Committee on Learning Research and Educational Practice, Commission on Behavioural and Social Science Education, National Research Council, Expanded ed.
[5]
A. Chamillard and R. E. Swardl. Learning styles across the curriculum. In ITiCSE 2005: Proceedings of the 10th Annual SIGCSE Conference Innovation and Technology in Computer Science Education pages 241--245, New York, NY, USA, 2005. ACM Press.
[6]
T. DeMarco and T. Lister. Peopleware (2nd ed. ): productive projects and teams Dorset House Publishing Co., Inc., New York, NY, USA, 1999.
[7]
B. Duch. Writing Problems for Deeper Understanding pages 47--53. Stylus Publishing, Sterling, Virginia, 2001.
[8]
J. P. Gibson and J. O'Kelly. Software engineering as a model of understanding for learning and problem solving. In ICER '05: Proceedings of the 2005 international workshop on Computing education research pages 87--97, New York, NY, USA, 2005. ACM Press.
[9]
K. Hartness. Robocode: using games to teach artificial intelligence. J. Comput. Small Coll. 19(4): 287--291, 2004.
[10]
W. S. Humphrey. PSP: A Self-Improvement Process for Software Engineers Pearson Education, Inc., NJ, 2005.
[11]
T. Jenkins. A participative app oach to teaching programming. SIGCSE Bull. 30(3): 125--129, 1998.
[12]
J. OKelly. Designing a Hybrid PBL Course: A Case Study of First Year Computer Science in NUI, Maynooth pages 43--53. CELT, NUI Galway, Ireland, 2005.
[13]
J. OKelly and J. P. Gibson. PBL: Year one analysis. interpretation and validation. In PBL In Context Bridging work and Education 2005.
[14]
J. OKelly, R. Monahan, J. P. Gibson, and S. Brown. Enhancing skills transfer through problem-based learning. Report nuim-cs-tr-2005-13, Department of Computer Science, National University of Ireland, Maynooth., 2005.
[15]
S. Papert. The Connected Family: Bridging the Digital Generation Gap Longstreet Press, October 1996.
[16]
R. S. Pressman. Software Engineering: A Practitioner's Approach w/ E-Source on CD-ROM McGraw-Hill Science/Engineering/Math, November 2001.
[17]
A. Robins, J. Rountree, and N. Rountree. Learning and teaching programming: A review and discussion. Computer Science Education 13(2): 137--172, 2003.
[18]
C. Tien, S. Chu, and Y. Lin. Four phases to construct problem-based learning instruction materials. In PBL In Context Bridging work and Education pages 117--133. Tampere University Press, 2005.
[19]
G. Weinberg, editor. The Psychology of Computer Programming Dorset House Publishers, New York, 1998.
[20]
L. E. Winslow. Programming pedagogy -- a psychological overview. SIGCSE Bull. 28(3): 17--22, September 1996.

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  • (2021)A Real-world Approach to Motivate Students on the First Class of a Computer Science CourseACM Transactions on Computing Education10.1145/344598221:3(1-23)Online publication date: 10-May-2021
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cover image ACM Conferences
ITICSE '06: Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education
June 2006
390 pages
ISBN:1595930558
DOI:10.1145/1140124
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 26 June 2006

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  1. computing education research
  2. problem based learning

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Cited By

View all
  • (2023)Problem based Learning for Training in Statistics and Artificial Intelligence to Biomedical EngineersProceedings of the 15th International Conference on Education Technology and Computers10.1145/3629296.3629359(391-396)Online publication date: 26-Sep-2023
  • (2022)The Effects of Problem-Based Serious Games on Learning 3D Computer GraphicsIranian Journal of Science and Technology, Transactions of Electrical Engineering10.1007/s40998-022-00526-046:4(989-1004)Online publication date: 22-Jul-2022
  • (2021)A Real-world Approach to Motivate Students on the First Class of a Computer Science CourseACM Transactions on Computing Education10.1145/344598221:3(1-23)Online publication date: 10-May-2021
  • (2019)A Survey on Computer Programming Learning EnvironmentsCode Generation, Analysis Tools, and Testing for Quality10.4018/978-1-5225-7455-2.ch004(90-105)Online publication date: 2019
  • (2019)Evaluation of the Create@School Game-Based Learning–Teaching ApproachSensors10.3390/s1915325119:15(3251)Online publication date: 24-Jul-2019
  • (2019)Adapting the "Unessay" for Use in Computer ScienceProceedings of the 24th Western Canadian Conference on Computing Education10.1145/3314994.3325073(1-6)Online publication date: 3-May-2019
  • (2018)Teaching projects and research objectives in SPL extractionProceedings of the 22nd International Systems and Software Product Line Conference - Volume 210.1145/3236405.3237205(44-45)Online publication date: 10-Sep-2018
  • (2018)Software product line extraction from variability-rich systemsProceedings of the 22nd International Systems and Software Product Line Conference - Volume 110.1145/3233027.3233038(132-142)Online publication date: 10-Sep-2018
  • (2018)A Review of Serious Games for ProgrammingSerious Games10.1007/978-3-030-02762-9_21(204-216)Online publication date: 17-Oct-2018
  • (2017)What do novices think about when they program?Journal of Computing Sciences in Colleges10.5555/3144645.314467133:2(171-181)Online publication date: 1-Dec-2017
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