Naïve Designers’ Information Use during the Design Process in a Low-Resource Classroom

Nicolaas Blom; Grietjie Haupt; William Fraser

doi:10.29333/ejmste/90091

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Nicolaas Blom ¹ ^* , Grietjie Haupt ¹, William Fraser ¹

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¹ Department of Science, Mathematics and Technology Education, University of Pretoria, SOUTH AFRICA^* Corresponding Author

Abstract

Facilitating the design process in low-resource Technology classrooms has become increasingly challenging in the 21st century. This research focuses on the types of information sources used during learners’ design processes. We examine the information sources that nine South African Grade 9 learners from a low-resource school used while they were engaged in a mechanical systems and control design task. They worked in groups of three to design a machine to lift logs from the ground onto a truck. We utilised a Think Aloud Protocol Study to collect concurrent verbal, visual and temporal data. The results indicate that Grade 9 design teams were predominantly engaged in problem solving activities by using mostly external sources of information during the early phases of the design process. If designing is the backbone methodology of Technology education, attention should be given to the information sources that learners use during designing.

Keywords

cognitive phases
design cognition
information sources
low-resource classrooms
technology education

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 14, Issue 6, June 2018, 2563-2586

https://doi.org/10.29333/ejmste/90091

Publication date: 18 Apr 2018

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References

Abbey, S. K. (2008). Modelling socio-economic dynamics in a working-class desegregation area in post-industrial, post-apartheid South Africa – the case of Danville-Elandspoort (Doctoral thesis), University of Pretoria, Pretoria.
Atman, C., Adams, R., Mosborg, S., Cardella, M., Turns, J., & Saleem, J. (2007). Engineering design processes: a comparison of students and expert practitioners. Journal of Engineering Education, 96. https://doi.org/10.1002/j.2168-9830.2007.tb00945.x.
Björklund, T. A. (2013). Initial mental representations of design problems: Differences between experts and novices. Design Studies, 34(2), 135–160. Retrieved from http://doi.org/10.1016/j.destud.2012.08.005.
Bursic, K. M., & Atman, C. J. (1997). Information gathering: a critical step for quality in the design process. The Quality Management Journal, 4(4), 60–75. https://doi.org/10.1080/10686967.1998.11919148.
Cash, P., & Gonçalves, M. (2017). Information-triggered Co-evolution: A Combined Process Perspective. In B.T. Christensen, L.J. Ball & K. Halskov (Eds.). Analysing Design Thinking: Studies of Cross-Cultural Co-Creation (pp. 501 – 520). London: CRC Press.
Cash, P., Hicks, B., & Culley, S. (2015). Activity Theory as a means for multi-scale analysis of the engineering design process: A protocol study of design in practice. Design Studies, 38, 1–32. Retrieved from https://doi.org/10.1016/j.destud.2015.02.001.
Clark, A. (2006). Soft Selves and Ecological Control. In D. Spurrett, D. Ross, H. Kincaid & L. Stephens (Eds.), Distributed Cognition and the Will (pp. 101 – 122). Cambridge MA: The MIT Press.
Clark, A. (2008). Supersizing the Mind: Embodiment, Action, and Cognitive Extension. New York: Oxford University Press.
Clark, A., & Chalmers, D. (1998). The extended mind. Analysis, 58, 10–23. https://doi.org/10.1093/analys/58.1.7.
Clitheroe, F., Goosen, A., Kathan, V., Mlambo, T., Roebert, M., Sargeant, I., & Walstra, K. (2013). Platinum Technology. Cape Town: Maskew Miller Longman.
Creswell, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches. Lincoln, USA: SAGE Publications.
Csapó, B., & Funke, J. (2017). The development and assessment of problem solving in 21st-century schools. In B. Csapó, & J. Funke (Eds.), The nature of problem solving: Using research to inspire 21st century learning. https://doi.org/10.1787/9789264273955-en.
DBE. (2011). Curriculum and Assessment Policy Statement. Senior Phase: Technology. Republic of South Africa: South African Department of Basic Education.
DBE. (2018). National Education Infrastructure Management System. Retrieved from https://www.education.gov.za/Portals/0/Documents/Reports/NEIMSReport20172018.pdf?ver=2018-01-30-120305-787.
De Vries, M. (2016). Teaching about Technology. An Introduction to the Philosophy of Technology for Non-philosophers. Dordrecht: Springer.
Dinar, M., Shah, J., Cagan, J., Leifer, L., Linsey, J., Woodruff, G., & Vargas Hernandez, N. (2015). Empirical Studies of Designer Thinking: Past, Present, and Future. Journal of Mechanical Design, 137, 1–13. Retrieved from https://doi.org/10.1115/1.4029025.
Dixon, R. A, & Johnson, S. D. (2012). The Use of Executive Control Processes in Engineering Design by Engineering Students and Professional Engineers. Journal of Technology Education, 24(1), 73–89. Retrieved from http://scholar.lib.vt.edu/ejournals/JTE/v24n1/dixon2.html.
Dorst, K., & Cross, N. (2001). Creativity in the design process: co-evolution of problem–solution. Design Studies, 22(5), 425–437. https://doi.org/10.1016/S0142-694X(01)00009-6.
Dym, C. L., Little, P., & Orwin, E. J. (2014). Engineering Design: A Project based approach (4th ed.). United States of America: John Wiley & Sons.
Ericsson, K. A., & Simon, H. A. (1993). Protocol analysis: Verbal reports as Data (2nd ed.). Cambridge, MA: MIT Press.
Gero, J. (1998). Towards a Model of Designing Which Includes its Situatedness. In H. Grabowski, S. Rude, & G. Grein (Eds.), Universal Design Theory (pp. 47–56). Aachen: Shaker Verlag.
Goel, V. (1995). Sketches of Thought. Cambridge, MA: MIT Press.
Goel, V. (2014). Creative brains: designing in the real world. Frontiers in Human Neuroscience, 8(April), 241. Retrieved from https://doi.org/10.3389/fnhum.2014.00241.
Goldschmidt, G., & Rodgers, P. A. (2013). The design thinking approaches of three different groups of designers based on self-reports. Design Studies, 34(4), 454–471. https://doi.org/10.1016/j.destud.2013.01.004.
Gonçalves, M., Cardoso, C., & Badke-Schaub, P. (2013). Inspiration peak: exploring the semantic distance between design problem and textual inspirational stimuli. International Journal of Design Creativity and Innovation, 1(4), 215–232. https://doi.org/10.1080/21650349.2013.799309.
Gonçalves, M., Cardoso, C., & Badke-Schaub, P. (2014). What inspires designers? Preferences on inspirational approaches during idea generation. Design Studies, 35(1), 29–53. https://doi.org/http://dx.doi.org/10.1016/j.destud.2013.09.001.
Gonçalves, M., Cardoso, C., & Badke-Schaub, P. (2016). Inspiration choices that matter: the selection of external stimuli during ideation. Design Science, 2. https://doi.org/10.1017/dsj.2016.10.
Grubbs, M., & Strimel, G. (2016). Cognitive Research: Transferring Theories and Findings to K-12 Engineering Educational Practice. In the American Society for Engineering Education 103rd Annual Conference and Exposition. New Orleans, LA: American Society for Engineering Education.
Haupt, G. (2015). Learning from experts: fostering extended thinking in the early phases of the design process. International Journal of Technology and Design Education, 25(4), 483–520. http://doi.org/10.1007/s10798-014-9295-7.
Haupt, G. (2018). Hierarchical thinking: a cognitive tool for guiding coherent decision making in design problem solving. International Journal of Technology and Design Education, 28(1), 207–237. http://doi.org/10.1007/s10798-016-9381-0.
Hay, L., Duffy, A., McTeague, C., Pidgeon, L., Vuletic, T., & Grealy, M. (2017). A systematic review of protocol studies on conceptual design cognition: Design as search and exploration. Design Science, 3, 1–36. http://doi.org/10.1017/dsj.2017.11.
Heisig, P., Caldwell, N. H. M., Grebici, K., & Clarkson, P. J. (2010). Exploring knowledge and information needs in engineering from the past and for the future – results from a survey. Design Studies, 31(5), 499–532. https://doi.org/10.1016/J.DESTUD.2010.05.001.
Hill, A. M., & Anning, A. (2001). Comparisons and Contrasts between Elementary/Primary School Situated Design and Workplace Design in Canada and England. International Journal of Technology and Design Education, 11(2), 111–136.
Hmelo-Silver, C., Chernobilsky, E., & Jordan, R. (2008). Understanding collaborative learning processes in new learning environments. Instructional Science. Springer. https://doi.org/10.2307/23372648.
Hutchins, E. (2014). The cultural ecosystem of human cognition. Philosophical Psychology, 27(1), 34–49. https://doi.org/10.1080/09515089.2013.830548.
Jin, Y., & Benami, O. (2010). Creative patterns and stimulation in conceptual design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 24(2), 191. https://doi.org/10.1017/S0890060410000053.
Johnstone, H., Mitchley, A., Schreuder, B., Sherwood, R., Snyman, E., & Ter-Morshuizen, K. (2013). Technology Today Gr. 9. South Africa. South Africa: Maskew Miller Longman.
Jonassen, D. H. (2011). Design problems for secondary students. Retrieved from http://digitalcommons.usu.edu/ncete_publications/164.
Kelley, T., Capobianco, B., & Kaluf, K. (2015). Concurrent think-aloud protocols to assess elementary design students. International Journal of Technology and Design Education, 25(4), 521–540. http://doi.org/10.1007/s10798-014-9291-y.
Kim, J., & Ryu, H. (2014). A Design Thinking Rationality Framework: Framing and Solving Design Problems in Early Concept Generation. Human–Computer Interaction, 29(5–6), 516–553. https://doi.org/10.1080/07370024.2014.896706.
Kimbell, R., & Stables, K. (2008). Researching Design Learning. Dordrecht, The Netherlands: Springer.
Kola, M. I. (2017). Technology Teacher Trainees’ Lesson Planning Approach in South Africa: Room for Improvement. African Journal of Research in Mathematics, Science and Technology Education, 21(3), 293–303. https://doi.org/10.1080/18117295.2017.1379215.
Kruger, C., & Cross, N. (2006). Solution driven versus problem driven design: Strategies and outcomes. Design Studies, 27(5), 411–435. https://doi.org/10.1016/j.destud.2006.01.001.
Lawson, B., & Dorst, K. (2009). Design Expertise. Oxford: Architectural Press.
Mathumbu, D., Rauscher, W., & Braun, M. (2014). Knowledge and cognitive process dimensions of Technology teachers’ lesson objectives. South African Journal of Education, 34(3), 01–09. Retrieved from http://0-www.scielo.org.za.innopac.up.ac.za/scielo.php?script=sci_arttext&pid=S0256-01002014000300009&lng=en&nrm=iso&tlng=es.
McLellan, R., & Nicholl, B. (2011). “If I was going to design a chair, the last thing would look at is a chair”: Product analysis and the causes of fixation in students’ design work 11-16 years. International Journal of Technology and Design Education, 21(1), 71–92. https://doi.org/10.1007/s10798-009-9107-7.
Menary, R. (2007). Cognitive Integration: Mind and cognition unbounded. Basingstoke: Palgrave Macmillan.
Menary, R. (2010). Dimensions of Mind. Phenomenology and the Cognitive Sciences, 9, 561–578.
Mettas, A., & Norman, E. (2011). A grounded theory approach to the development of a framework for researching children’s decision-making skills within design and technology education. Design and Technology Education: An International Journal, 16, 8–19.
Mohedas, I., Daly, S., & Sienko, K. (2015). Requirements Development: Approaches and Behaviors of Novice Designers. Journal of Mechanical Design, 137(7), 71407. https://doi.org/10.1115/1.4030058.
Naidoo, K. (2011). Poverty and socio-political transition: perceptions in four racially demarcated residential sites in Gauteng. Development Southern Africa, 22(2), 277-290.
Newell, A., & Simon, H. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.
Nicholl, B., & Mclellan, R. (2005). “Oh yeah, yeah you get a lot of love hearts. The year 9s are notorious for love hearts. Everything is love hearts.” Fixation in pupils’ design and technology work (11-16 years). Design and Technology Education: An International Journal, 12(1), 34–44.
Oxman, R. (2001). The mind in Design: A conceptual Framework for Cognition in Design Education. In C. Eastman, M. McCracken, & W. Newstetter (Eds.), Design knowing and learning: Cognition in Design Education (pp. 269–297). Oxford: Elsevier.
Petrina, S. (2007). Advanced Teaching Methods for the Technology Classroom. Information Science Publishing. Retrieved from http://eric.ed.gov/?q=%2522Petrina+Stephen%2522&ff1=pubBooks&id=ED508836.
Petrina, S. (2010). Cognitive Science. In P. A. Reed & J. E. LaPorte (Eds.), Research in Technology Education: 59th Yearbook. United States of America: Council on Technology Teacher Education.
Petrina, S., Feng, F., & Kim, J. (2008). Researching cognition and technology: how we learn across the lifespan. International Journal of Technology and Design Education, 18, 375–396. https://doi.org/10.1007/s10798-007-9033-5.
Pieper, J. (2013). High School Students’ Use of Paper-Based and Internet-Based Information Sources in the Engineering Design Process. Journal of Technology Education, 24(2), 78–95.
Ramaligela, M. S., Gaigher, E., & Hattingh, A. (2014). Exploring the use of Technology textbooks in medium- and well-resourced school contexts in South Africa. Africa Education Review, 11(2), 183–200. https://doi.org/10.1080/18146627.2014.927156.
Reed, S. K. (2016). The Structure of Ill-Structured (and Well-Structured) Problems Revisited. Educational Psychology Review, 28(4), 691–716. https://doi.org/10.1007/s10648-015-9343-1.
Restrepo, J. (2006). Studying Design Engineers use of Information Systems: Which variables to control for. Design Research Society International Conference, Lisbon.
Restrepo, J., & Christiaans, H. (2004). Problem Structuring and Information Access in Design. The Journal of Design Research, 4(2). https://doi.org/10.1504/JDR.2004.009842.
Robbins, P., & Aydede, M. (2009). A Short primer on situated cognition. In P. Robbins & M. Aydede (Eds.), The Cambridge Handbook of Situated Cognition (pp. 3 – 10). New York: Cambridge University Press.
Robertson, I. (2017). Problem solving: Perspectives from Cognition and Neuroscience (2nd ed.). London: Routledge.
Simon, H. A. (1973). The structure of ill structured problems. Artificial Intelligence, 4(3–4), 181–201. https://doi.org/10.1016/0004-3702(73)90011-8.
Song, T., Becker, K., Gero, J., DeBerard, S., Lawanto, O., & Reeve, E. (2016). Problem Decomposition and Recomposition in Engineering Design: a Comparison of Design Behavior between Professional Engineers, Engineering Seniors, and Engineering Freshmen. Journal of Technology Education, 27(1). https://doi.org/10.21061/jte.v27i2.a.3.
Stables, K. (2010). The Inspiration Pitch: Where do design ideas come from? In The Design and Technology Association Research Conference (pp. 111–121). United Kingdom: Keele University.
Stemler, S. E. (2004). A comparison of consensus, consistency, and measurement approaches to estimating interrater reliability. Practical Assessment, Research & Evaluation, 9(4).
Strimel, G., & Grubbs, M. (2017). A Critical Examination of Engineering Design Processes and Procedures. In L. Litowitz & S. Warner (Eds.), Technology and engineering education: Fostering the creativity of youth around the globe. Philadelphia, PA: Millersville University.
Summers, J. D., Joshi, S., & Morkos, B. (2014). Requirements evolution: Relating functional and non-functional requirement change on student project success. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Buffalo.
Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioural Sciences. Thousand Oaks, CA: SAGE.
Trudell, B. (2007). Local community perspectives and language of education in sub-Saharan African communities. International Journal of Educational Development, 27(5), 552–563. https://doi.org/10.1016/J.IJEDUDEV.2007.02.002.
Ullman, D., Dietterich, T., & Stauffer, L. (1988). A model of the mechanical design process based on empirical data. AI EDAM, 2(1), 33–52.
Visser, W. (2009). Design: one, but in different forms. Design Studies, 30(3), 187–223. https://doi.org/10.1016/j.destud.2008.11.004.
Welch, M. (1999). Analyzing the Tacit strategies of Novice Designers. Research in Science & Technological Education, 17(1), 19–34. https://doi.org/10.1080/0263514990170102.
Welch, M., & Lim, H.S. (2000). The strategic thinking of novice designers: discontinuity between theory and practice. The Journal of Technology Studies, 26. https://doi.org/10.21061/jots.v26i2.a.6.
Wells, J. G., Lammi, M., Gero, J., Grubbs, M., Paretti, M., & Williams, C. (2016). Characterizing design cognition of high school students: Initial analyses comparing those with and without pre-engineering experiences. Journal of Technology Education, 27(April), 78–91. https://doi.org/10.21061/jte.v27i2.a.5.
William, D. (2011). Embedded formative assessment. Bloomington, IN: Solution Tree.
Wu, Q., & Wang, Y. (2015). To explore the effect of sub consciousness on Sudden Moments of Inspiration (SMI) in the sketching process of industrial design. International Journal of Technology and Design Education, 25(4), 563–584. https://doi.org/10.1007/s10798-015-9326-z.
Yin, R. (2014). Case Study Research: Design and Methods (5th ed.). Los Angeles: SAGE.

How to cite this article

APA

Blom, N., Haupt, G., & Fraser, W. (2018). Naïve Designers’ Information Use during the Design Process in a Low-Resource Classroom. Eurasia Journal of Mathematics, Science and Technology Education, 14(6), 2563-2586. https://doi.org/10.29333/ejmste/90091

Vancouver

Blom N, Haupt G, Fraser W. Naïve Designers’ Information Use during the Design Process in a Low-Resource Classroom. EURASIA J Math Sci Tech Ed. 2018;14(6):2563-86. https://doi.org/10.29333/ejmste/90091

AMA

Blom N, Haupt G, Fraser W. Naïve Designers’ Information Use during the Design Process in a Low-Resource Classroom. EURASIA J Math Sci Tech Ed. 2018;14(6), 2563-2586. https://doi.org/10.29333/ejmste/90091

Chicago

Blom, Nicolaas, Grietjie Haupt, and William Fraser. "Naïve Designers’ Information Use during the Design Process in a Low-Resource Classroom". Eurasia Journal of Mathematics, Science and Technology Education 2018 14 no. 6 (2018): 2563-2586. https://doi.org/10.29333/ejmste/90091

Harvard

Blom, N., Haupt, G., and Fraser, W. (2018). Naïve Designers’ Information Use during the Design Process in a Low-Resource Classroom. Eurasia Journal of Mathematics, Science and Technology Education, 14(6), pp. 2563-2586. https://doi.org/10.29333/ejmste/90091

MLA

Blom, Nicolaas et al. "Naïve Designers’ Information Use during the Design Process in a Low-Resource Classroom". Eurasia Journal of Mathematics, Science and Technology Education, vol. 14, no. 6, 2018, pp. 2563-2586. https://doi.org/10.29333/ejmste/90091