Article | PATT 26 Conference; Technology Education in the 21st Century; Stockholm; Sweden; 26-30 June; 2012 | Challenging learning journeys in the classroom: Using mental model theory to inform how pupils think when they are generating solutions

Title:
Challenging learning journeys in the classroom: Using mental model theory to inform how pupils think when they are generating solutions
Author:
Christine Edwards-Leis: St Mary’s University College, London, UK
Download:
Full text (pdf)
Year:
2012
Conference:
PATT 26 Conference; Technology Education in the 21st Century; Stockholm; Sweden; 26-30 June; 2012
Issue:
073
Article no.:
018
Pages:
153-162
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2012-06-18
ISBN:
978-91-7519-849-1
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


This paper presents a discussion about the interplay between Mental Model Theory and the generation of solutions to learning challenges in the primary classroom. It explores how pupils negotiate the problem solving spaces that can arise in the two learning areas of Mathematics and Design and Technology although the cross-curricula nature of learning in the primary classroom can conflate the two domains.

Learning challenges engage thinking. Teachers will think about; and subsequently design; challenging scenarios that will stimulate their pupils to generate a range of possible solutions. In turn; pupils will think about how they will meet the challenges. Mental Model Theory informs teachers’ knowledge about thinking: it explains how mental models arise from the idiosyncratic methods of developing the dialogue and relationships necessary to guide thinking. Mental models are purposeful cognitive structures that have a process/product nature. They also have several functions that enable them to store data and enact strategies to generate outcomes. The theory explains how pupils engage in the thinking process to assimilate memory; new data and personalised strategies to find solutions to challenges. When faced with a novel challenge; pupils retrieve; restructure and/or create; and store useable mental models in accordance with their perceived relevance to generate an acceptable outcome.

This paper explores how a challenge; be it finding a solution to a mathematical conundrum or creating a response to a brief in Design and Technology; stimulates thinking processes. The discussion will consider how an understanding of the functions of mental models; through the use of the Mental Model Mode; can enhance constructive and inventive thinking in classrooms. It proposes implications for pedagogical practice and some key considerations for teachers as reflective practitioner – and designer of learning challenges.

Keywords: Mental models; problem solving; Design and Technology; Mathematics

PATT 26 Conference; Technology Education in the 21st Century; Stockholm; Sweden; 26-30 June; 2012

Author:
Christine Edwards-Leis
Title:
Challenging learning journeys in the classroom: Using mental model theory to inform how pupils think when they are generating solutions
References:

Anderson; R. C. (1977). The notion of schemata and the educational enterprise: General discussion of the conference. In R. C Anderson; R. J. Spiro & W. E. Montague (Eds.); Schooling and the acquisition of knowledge. (1984). Hillsdale; NJ: Lawrence Erlbaum.


Barker; P. G. (1999). Mental models and network pedagogy; Conference proceedings of ENABLE99; International Conference EVITech; Helskinki University; Finland; June 2-5; 1999. Retrieved on February 25; 2004; from http://www.enable.evitech.fi/enable99/prog2005. html


Barker; P.; van Schaik; P.; & Hudson; S. (1998). Mental models and lifelong learning; Innovations in Education and Training International; 35(4); 310–319.


Barker; P.; van Schaik; P.; Hudson; S.; & Meng Tan; C. (1998). Mental models and their role in the teaching and learning of human-computer interaction; Volume 1 of Proceedings of ED-MEDIA/ED-TELECOM 98; 10th World Conference on Educational Multimedia and Hypermedia; Freiburg; Germany; June 20-25; 1998; T. Ottman & I. Tomek (Eds.).; Association for the Advancement of Computing in Education; Charlottesville; Virginia; USA. Retrieved February 25; 2004; from http://wheelie.tees.ac.uk/groups/isrg/papers/sedawc97/


Byrne; R. (1992). The model theory of deduction. In Y. Rogers; A. Rutherford; and P. Bibby (Eds.); Models in the mind: Theory; perspective and application (pp.11-28). London: Academic Press.


Carroll; J. M. & Olson; J. R. (1988). Mental models in human-computer interaction. In M. Helander (Ed.); Handbook of human-computer interaction. Amsterdam: Elsevier (North Holland).


Casakin; H. (2011). Metaphorical reasoning and design expertise: A perspective for design education; Journal of Learning Design; (4)2; 29-38.


Craik; K. (1943). The nature of explanation. Cambridge: CUP.


Edwards-Leis; C.E. (2010). Mental models of teaching; learning; and assessment : A longitudinal study. PhD thesis; James Cook University. Available eprints.jcu.edu.au/15182/1/01Thesis_ front.pdf


Gentner; D. & Stevens; A. (Eds.) (1983). Mental models. Hillsdale; NJ: LEA.


Halford; G. S. (1993). Children’s understanding: The development of mental models. Hillsdale; N.J.: Erlbaum.


Henderson; L. & Tallman; J. (2006) Stimulated recall and mental models. Lanham; ML: Scarecrow Press; Inc.


Jacobse; A. E. & Harskamp; E. G. (2009). Student-controlled metacognitive training for solving word problems in primary school mathematics; Educational Research and Evaluation; (15)5; 447-463.


Johnson-Laird; P. N. (1983). Mental models: Towards a cognitive science of language; inference; and consciousness. Cambridge: Cambridge University Press; Cambridge; MA: Harvard University Press.


Johnson-Laird; P. N. & Byrne; R. M. J. (1991). Deduction. Hillsdale; NJ: Lawrence Erlbaum Associates.


Johnson-Laird; P. N. (2006). How we reason. New York: Oxford University Press.


Jonassen; D. H. (1995). Operationalizing mental models: strategies for assessing mental models to support meaningful learning and design – supportive learning environments; Pennsylvania State University. Retrieved November 26; 2003; from http://www.ittheory. com/jonassen2.htm


Kail; R. & Bisanz; J. (1992). The information-processing perspective on cognitive development in childhood and adolescence. In R. J. Sternberg & C. A Berg (Eds.); Intellectual Development. New York: Cambridge University Press.


Kyllonnen; P .C. & Shute; V. J. (1989). A taxonomy of learning skills. In P. L. Ackerman; R. J. Sternberg; & R. Glaser (Eds.); Learning and individual differences: Advances in theory and research (pp.117-163). New York: W. H. Freeman and Company.


Lawson; B.R. (2004). Schemata; gambits and precedents: Some factors in design expertise. Design Studies; 25; 443-457.


Lohman; D. F. (2000). Complex information processing. In R.J. Sternberg (Ed.) Handbook of intelligence. New York: Cambridge University Press.


McInerney; D. M. & McInerney; V. (2006). Educational psychology: Constructing learning; (4th Edition); Sydney: Prentice Hall.


Merrill; D. M. & Gilbert; C. B. (2008). Effective peer interaction in a problem-centred instructional strategy; Distant Education; 29(2); 109-207.


Miles; M. & Huberman; M. (1994). Qualitative data analysis; Beverly Hills: Sage.


Moore; B. (Ed.). (1987). The Australian Concise Oxford Dictionary (4th ed.). Melbourne: Oxford University Press.


Moseley; C.; Desjean-Perrotta; B.; & Utley; J. (2010). The Draw-An-Environment Test Rubric (DAET-R): Exploring pre-service teachers’ mental models of the environment. Environmental Education Research; 16(2); 189-208. doi: 10.1080/13504620903548674


Newell; A. & Simon; H.A. (1972). Human problem solving. Englewood Cliffs; New Jersey: Prentice-Hall.


Newton; D. (1996). Causal situations in science: a model for supporting understanding. In R. Saljo (Ed.); Learning and Instruction; 6(3); (201-217); Great Britain: Elsevier Science Ltd.


Norman; D. A. (1983). Some observations on mental models. In D. Gentner; & A. L. Stevens (Eds.); Mental models. Hillsdale; NJ: Lawrence Erlbaum Assoc.


Norman; D. A. (1988). The psychology of everyday things. New York: Basic Books.


Payne; S. (1991). Display-based action at the user interface. International Journal of Man- Machine Studies 35; 275-289.


Piaget; J. (1970). The science of education and the psychology of the child. New York: Orion Press.


Power; M.; & Wykes; T. (1996). The mental health of mental models and the mental models of mental health. In J. Oakhill and A. Graham (Eds.); Mental models in cognitive science. Essays in honour of Phil Johnson-Laird (pp.197-222). London: Psychology Press.


Preece; J.; Rogers; Y.; Sharp; H.; Benyon; D.; Holland; S.; & Carey; T. (1994). Human computer interaction; NJ: Addison Wesley.


Queensland Studies Authority; (2003); Technology Years 1 to 10 Syllabus. Education Queensland; Brisbane.


Redish; E. (1994). The implications of cognitive studies for teaching physics. The American Journal of Physics; 62(6); 796-803.


Ritchie; S. M.; Tobin; K. & Hook; K. S. (1997). Teaching referents and the warrants used to test the viability of students’ mental models: Is there a link? Journal of Research in Science Training; 34(3); 223-238.


Royer; J. M.; Cisero; C. A.; & Carlo; M. S. (1993). Techniques and procedures for assessing cognitive skills. Review of Educational Research; 63(2); 201-243.


Senge; P. (1992). Mental models. Planning Review; 20(2). Retrieved December 5; 1998; from http://deming.eng.clemson.edu/pub/tqmbbs/tools-techs/menmodel.tx


van der Veer; G. C. & Peurta-Melguizo; M. (2002). Mental models. In J. Jacko & A. Sears (Eds.); The human-computer interaction handbook: Fundamentals; evolving technologies and emerging applications (pp. 52-80). Mahwah; NJ: Lawrence Erlbaum.


Vosniadou; S. (2002). Mental models in conceptual development. In L. Magnani & N. Nersessian (Eds.); Model-based reasoning: Science; technology; values. New York: Kluwer Academic Press.


Vygotsky; L. (1978). Mind in society. Cambridge; MA: Harvard University Press.


Williamson; J. W. (1999). Mental models of teaching: Case study of selected pre-service teachers enrolled in an introductory educational technology course. (Doctoral dissertation; The University of Georgia; 1999). Athens; Georgia.

PATT 26 Conference; Technology Education in the 21st Century; Stockholm; Sweden; 26-30 June; 2012

Author:
Christine Edwards-Leis
Title:
Challenging learning journeys in the classroom: Using mental model theory to inform how pupils think when they are generating solutions
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