The effects of Direct and Problem-based Learning in Engineering graphics

Brian Matthews*
senior lecturer in School of EngineeringfCivil Engineering) at the University of Birmingham,Edgbaston,Birmingham.B15 2TT,UK
Periodicity:May - July'2006
DOI : https://doi.org/10.26634/jfet.1.4.987

Abstract

This study used a teaching pedagogy of problem based learning (PBL) to compare any significant change in knowledge, skills and attitude in comparison to the traditional teaching of engineering graphics. The quasi-experimental study sample comprised forty eight (N=48) students in a Foundation of Graphics course at North Carolina State University and involved a pre-test / post-test control group, using single control and single treatment groups of 24 persons per group.

Keywords

How to Cite this Article?

Brian Matthews (2006). The effects of Direct and Problem-based Learning in Engineering graphics. i-manager’s Journal on Future Engineering and Technology, 1(4), 32-41. https://doi.org/10.26634/jfet.1.4.987

References

[1].An, M., Lin, W. and Stirling, A., Afuzzy reasoning based approach to qualitative railway risk assessment. Proceedings of the Institution of Mechanical Engineers, PartF: Journal of Rail and Rapid Transit 220(2).
[2].An, M., Lin, W. and Stirling, A. Railway safety risk assessment using fuzzy reasoning approach. World Journal of Engineering 2005,2(2), 198-207.
[3.]An, M. Safety assessment in railway the current status and future aspects. World Journal of Engineering 2005, 2(1), 10-23
[4].An, M. Application of a knowledge-based intelligent safety prediction system to railway infrastructure maintenance. Proceeding of International Railway Engineering Conference, London, 6-7 July 2004 (CD format).
[5].An, M. and Foyer, P, Railway maintenance and safety: artificial intelligent links. Proceeding of International Railway Engineering Conference, London 14-16 July 2003 (CD format).
[6].An, M., Wang, J. and Ruxton, T. Risk analysis of offshore installation using approximate reasoning in concept design stage. Proceedings of the ESREL 2000 and SRA-Europe Annual Conference, Edinburgh, 15-17 May 2000, pp. 631-639.
[7].An, M., Wang, J. and Ruxton, T. The development of a fuzzy rule base for risk analysis of offshore engineering products using approximate reasoning approaches. Proceeding of Engineering Design Conference, London, 27-29 June 2000, pp. 327-338.
[8].Bowles, J.B. and Pelaez, C.E. Fuzzy logic prioritisation of failure in a system failure mode, effects and criticality analysis. Reliability Engineering and System Safety, 1995, 50,203-213.
[9].Bowles, J.B. and Pelaez, C.E. Application of fuzzy logic to reliability engineering. Proceedings of the IEEE, 1995,83(3): 435-449.
[10].European Standard, EN50126: Railway applications The specification and demonstration of reliability, availability, maintainability and safety (RAMS), CENELEC, September, 1999.
[11].Health & Safety Executive (HSE), Railways (Safely Case) Regulations 2000, ISBN 0 71761892 7.
[12].Jang, J.S., Sun, C. T. and Mizutani, E. Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, 1997, Prentice Hall.
[13].Kennedy, A. Risk management and assessment for rolling stock safety cases. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 1997,211,67 72.
[14].Lin, W., An, M. and Stirling, A. Railway safety assessment using fuzzy reasoning approach. Proceeding of International Railway Engineering, London, 6-7 July 2004 (CD format).
[15].Lin, W., An, M. and Stirling, A. Development of railway safety and risk analysis system using fuzzy reasoning approaches. Proceeding of International Railway Engineering, London, 29-30 June 2005 (CD format).
[16].LUL, London Underground Limited Quantified Risk Assessment Update 2001, Issue 1,2001.
[17]. LU L Health, Safety and Environmental Management System (HSEMS) Directive 5.2.
[18].Mathews, J.H. Numeric Methods for Mathematics, Science and Engineering, 1992, Prentice Hall, 2nd Ed.
[19].Mendel, J.M. fuzzy logic system for engineering: A tutorial, Proceedings of the IEEE, 1995,83(3), 345-377.
[20].Metronet SSL, 2005a, Development of Metronet staff risk model. First Metronet SSL Interim Report.
[21 ].Metronet SSL, 2005b, Framework for the assessment ofHS&E risks. Second Metronet SSL Interim Report.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.