Purposive Teaching Styles for Transdisciplinary AEC Education: A Diagnostic Learning Styles Questionnaire

Sharifah Mazlina Syed Khuzzan, Jack Steven Goulding, Farzad Pour Rahimian

DOI: http://dx.doi.org/10.26687/archnet-ijar.v9i2.669


With the progressive globalisation trend within the Architecture, Engineering, and Construction (AEC) industry, transdisciplinary education and training is widely acknowledged as being one of the key factors for leveraging AEC organisational success. Conventional education and training delivery approaches within AEC therefore need a paradigm shift in order to be able to address the emerging challenges of global practices. This study focuses on the use of Personalised Learning Environments (PLEs) to specifically address learners’ needs and preferences (learning styles) within managed Virtual Learning Environments (VLEs). This research posits that learners can learn better (and be more readily engaged in managed learning environments) with a bespoke PLE, in which the deployment of teaching and learning material is augmented towards their individual needs. In this respect, there is an exigent need for the Higher Educational Institutions (HEIs) to envelop these new approaches into their organisational learning strategy. However, part of this process requires decision-makers to fully understand the core nuances and interdependencies of functions and processes within the organisation, along with Critical Success Factors (CSFs) and barriers. This paper presents findings from the development of a holistic conceptual Diagnostic Learning Styles Questionnaire (DLSQ) Framework, comprised of six interrelated dependencies (i.e. Business Strategy, Pedagogy, Process, Resources, Systems Development, and Evaluation). These dependencies influence pedagogical effectiveness. These finding contribute additional understanding to the intrinsic nature of pedagogy in leveraging transdisciplinary AEC training within organisations (to improve learner effectiveness). This framework can help organisations augment and align their strategic priorities to learner-specific traits.


Transdisciplinary learning; Personal learning environments (PLE); Diagnostic learning styles questionnaire (DLSQ); Pedagogical effectiveness; Organisational drivers

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AAlshawi, M. (2007). Rethinking IT in construction and engineering: Organisational readiness: Routledge.

Arciszewski, T. (2009). Successful Education. How to Educate Creative Engineers. Fairfax, VA: Successful Education LLC.

Arif, M., Goulding, J., & Rahimian, F. P. (2012). Promoting off-site construction: Future challenges and opportunities. Journal of Architectural Engineering, 18(2), 75-78.

Avison, D. E., & Fitzgerald, G. (1995). Information systems development: methodologies, techniques and tools. New York: McGraw-Hill.

Avison, D. E., & Shah, H. U. (1997). The Information Systems Development Lifecycle: A First Course in Information Systems. New York: McGraw-Hill Publishers.

Broadbent, M., & Weill, P. (1997). Management by maxim: how business and IT managers can create IT infrastructures. Sloan management review, 38, 77-92.

Bruegge, B., & Dutoit, A. A. (1999). Object-oriented software engineering; conquering complex and changing systems: Prentice Hall PTR.

Buch, K., & Bartley, S. (2002). Learning style and training delivery mode preference. Journal of Workplace Learning, 14(1), 5-10.

Cato, S. T., & Gordon, J. (2009). Relationship of the strategic vision alignment to employee productivity and student enrollment. Research in Higher Education Journal, 7.

Chapman, B., & Tan, H. (1992). An Analysis of Youth Training in Australia: 1985-88: Technological Change and Wages. Youth in the Eighties, Centre for Economic Policy Research, Australian National University, Canberra.

Connor, H., & Shaw, S. (2008). Graduate training and development: current trends and issues. Education+ Training, 50(5), 357-365.

Cooper, R. G. (1990). Stage-gate systems: a new tool for managing new products. Business horizons, 33(3), 44-54.

Cosh, A., Duncan, J., Hughes, A., & Britain, G. (1998). Investment in training and small firm growth and survival: an empirical analysis for the UK 1987-95: Department for Education and Employment.

Delahaye, B., & Thompson, B. (1991). Learning Styles—What Do They Measure? Asia Pacific Journal of Human Resources, 29(2), 60-68.

Demirbaş, Ö. O. (2001). The relation of learning styles and performance scores of the students in interior architecture education. (PhD), Bilkent University, Ankara, Turkey.

Retrieved from http://www.thesis.bilkent.edu.tr/0001800.pdf

Demirbas, O. O., & Demirkan, H. (2007). Learning styles of design students and the relationship of academic performance and gender in design education. Learning and Instruction, 17(3), 345-359.

Dodgson, M. (1993). Organizational learning: a review of some literatures. Organization studies, 14(3), 375-394.

Evans, C., & Sadler-Smith, E. (2006). Learning styles in education and training: problems, politicisation and potential. Education+ Training, 48(2/3), 77-83.

Fruchter, R. (2004). Degrees of Engagement in Interactive Workspaces. International Journal of AI & Society, 19(1), 8-21. doi: 10.1007/s00146-004-0298-x

Fruchter, R., & Lewis, S. (2003). Mentoring Models in Support of P^5BL in Architecture/Engineering/Construction Global Teamwork. International Journal of Engineering Education (IJEE), 9(5), 663-671.

Goulding, J., & Alshawi, M. (1999). Generic IT training: a process protocol model. Paper presented at the Proceedings The Durability of Building Materials and Components Conference.

Goulding, J. S. (2000). GAPP-IT A Generic IT Training Model for Construction. (PhD), The University of Salford, Salford, UK.

Goulding, J. S., & Khuzzan, S. M. S. (2014). A study on the validity of a four-variant diagnostic learning styles questionnaire. Education+ Training, 56(2/3), 4-4.

Goulding, J. S., Pour Rahimian, F., Arif, M., & Sharp, M. D. (2014). New offsite production and business models in construction: priorities for the future research agenda.

Architectural Engineering and Design Management, 11(3), 163-184. doi: 10.1080/17452007.2014.891501

Goulding, J. S., & Rahimian, F. P. (2012). Industry Preparedness: Advanced Learning Paradigms for Exploitation. In A. Akintoye, J. S. Goulding & G. Zawdie (Eds.), Construction Innovation and Process Improvement (pp. 409-433). Oxford, UK: Wiley-Blackwell.

Gratton, L., Hope‐Hailey, V., Stiles, P., & Truss, C. (1999). Linking individual performance to business strategy: The people process model. Human Resource Management, 38(1), 17-31.

Holt, G. D., & Goulding, J. S. (2014). Conceptualisation of ambiguous-mixed-methods within building and construction research. Journal of Engineering, Design and Technology, 12(2), 244-262.

Hopp, W. J., & OYEN, M. P. (2004). Agile workforce evaluation: a framework for cross-training and coordination. Iie Transactions, 36(10), 919-940.

Huber, G. P. (1991). Organizational learning: The contributing processes and the literatures. Organization science, 2(1), 88-115.

Ibrahim, R., Fruchter, R., & Sharif, R. (2007). Framework for Cross-Border Transdisciplinary Design Studio Education. ArchNet-IJAR: International Journal of Architectural Research, 1(3), 88-100.

Karagiannidis, C., & Sampson, D. (2002). Accommodating learning styles in adaptation logics for personalised learning systems. Paper presented at the World Conference on Educational Multimedia, Hypermedia and Telecommunications.

Karagiannidis, C., & Sampson, D. (2004). Adaptation rules relating learning styles research and learning objects meta-data. Paper presented at the Workshop on Individual Differences in Adaptive Hypermedia. 3rd International Conference on Adaptive Hypermedia and Adaptive Web-based Systems (AH2004), Eindhoven, Netherlands.

Keep, E., & Mayhew, K. (1988). The assessment: education, training and economic performance. Oxford Review of Economic Policy, i-xv.

Khuzzan, S. M. S. (2009). A Conceptual Diagnostic Learning Styles Framework. (PhD), The University of Salford, Salford, UK.

Khuzzan, S. M. S., & Goulding, J. S. (2008). Personalised Learning Environments (Part 2): A Conceptual Model for Construction. Industrial and Commercial Training, 41, 47-56.

Kreber, C. (2004). An analysis of two models of reflection and their implications for educational development. International Journal for Academic Development, 9(1), 29-49. doi: 10.1080/1360144042000296044

Kumaraswamy, M. (1997). Improving Industry Performance through Integrated Training Programmes. Journal of Professional Issues in Engineering Education and Practice, 123(3), 93-97.

Lindsay, E. K. (1999). An analysis of matches of teaching styles, learning styles and the uses of educational technology.

Lyytinen, K., & Robey, D. (1999). Learning failure in information systems development. Information Systems Journal, 9(2), 85-101.

Mager, R. (1962). Preparing Instructional Objectives Palo Alto. California Fearon Publishers.

Melis, E., & Monthienvichienchai, R. (2004). They call it learning style but it's so much more. Paper presented at the World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education.

Morgan, G. (1990). Organizations in society: Macmillan Hong Kong.

Naoum, S., & Hackman, J. (1996). Do site managers and the head office perceive productivity factors differently? Engineering, Construction and Architectural Management, 3(1/2), 147-160.

Nel, P. S. (2011). Human resources management: Oxford University Press.

NGRF, N. G. R. F. (2010). Retrieved 14th Aug 2010, from http://www.guidance-research.org/future-trends/construction/info

O'Brien, L. (1989). Learning Styles: Make the Student Aware. NASSP Bulletin, 73(519), 85-89.

Oxford, R. L., & Ehrman, M. (1992). Second language research on individual differences. Annual review of applied linguistics, 13, 188-205.

Pahl, C. (2003). Managing evolution and change in web-based teaching and learning environments. Computers & Education, 40(2), 99-114.

Porter, M. E. (1985). Competitive advantage: creating and sustaining superior performance. New York, USA: Free Pass.

Pour Rahimian, F., Arciszewski, T., & Goulding, J. S. (2014). Successful education for AEC professionals: case study of applying immersive game-like virtual reality interfaces. Visualization in Engineering, 2(4). doi: 10.1186/2213-7459-2-4

Pour Rahimian, F., Ibrahim, R., & Baharudin, M. N. (2008). Using IT/ICT as a new medium toward implementation of interactive architectural communication cultures. Proceedings - International Symposium on Information Technology 2008, ITSim, pp. art. no. 4631984

Pour Rahimian, F., Ibrahim, R., Wirza, R., Abdullah, M. T. B., & Jaafar, M. S. B. H. (2011). Mediating Cognitive Transformation with VR 3d Sketching During Conceptual Architectural Design Process. ArchNet-IJAR, International Journal of Architectural Research, 5(1), 99-113.

Riding, R. J., & Sadler‐Smith, E. (1997). Cognitive style and learning strategies: Some implications for training design. International Journal of Training and Development, 1(3), 199-208.

Ritchie, R., Marshall, D., & A. Eardley, A. (1998). Information Systems in Business. London: International Thomson Business Press.

Rockart, J. F., Earl, M. J., & Ross, J. W. (1996). Eight imperatives for the new IT organization. Sloan management review, 38(1), 43-55.

Salama, A. M. (2008). A theory for integrating knowledge in architectural design education. ArchNet-IJAR: International Journal of Architectural Research, 2(1), 100-128.

Sampson, D., Karagiannidis, C., & Kinshuk, D. (2010). Personalised learning: educational, technological and standarisation perspective. Digital Education Review(4), 24-39.

Sheath, D. M., Woolley, H., Cooper, R., Hinks, J., & Aouad, G. (1996). A process for change-the development of a generic design and construction process protocol for the UK construction industry. INCIT 96 Proceedings: Bridging the Gap, 91.

Sleezer, C. M. (1993). Training needs assessment at work: A dynamic process. Human Resource Development Quarterly, 4(3), 247-264.

Spanier, G. B. (2001). The transformation of teaching. New Directions for Teaching and Learning, 2001(85), 109-115.

Stash, N. V., Cristea, A. I., & De Bra, P. M. (2004). Authoring of learning styles in adaptive hypermedia: problems and solutions. Paper presented at the Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters.

Tishman, F. M., Van Looy, S., & Bruyère, S. M. (2012). Employer strategies for responding to an aging workforce. The NTAR Leadership Center, Rutgers, The State University of New Jersey.

Van der Krogt, F., & Warmerdam, J. (1997). Training in different types of organizations: Differences and dynamics in the organization of learning at work. International Journal of Human Resource Management, 8(1), 87-105.

Walsham, G., & Waema, T. (1994). Information systems strategy and implementation: a case study of a building society. ACM Transactions on Information Systems (TOIS), 12(2), 150-173.

Ward, J., Griffiths, P. M., & Whitmore, P. (2002). Strategic planning for information systems (Vol. 3): Wiley New York.

Watson, J., & Hardaker, G. (2005). Steps towards personalised learner management system (LMS): SCORM implementation. Campus-Wide Information Systems, 22(2), 56-70.

Wolf, C. (2002). iWeaver: towards an interactive web-based adaptive learning environment to address individual learning styles. European Journal of Open and Distance Learning.

Zhang, L.-F. (2008). Thinking styles and identity development among Chinese university students. The American journal of psychology, 255-271.


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