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Multiple Multiple representations in representations in mathematical problem mathematical problem solving: Exploring sex solving: Exploring sex differencesdifferences
Iliada EliaIliada EliaDepartment of Education
University of Cyprus
Barcelona, January Barcelona, January 20020077
The focus of the studyThe focus of the study
Pictures Number line
Additive problem solving
IntroductionIntroduction
This study focuses on one-step change problems (measure-transformation-measure).
ccaabb
Theoretical considerationsTheoretical considerations
Change problems include a total of six situations. The placement of the unknown in the problems influences students’
performance (e.g. Adetula, 1989).
Additive change problemsAdditive change problems
Verbal description(DeCorte & Verschaffel, 1987; Carpenter, 1985)
Representations used in additive problem Representations used in additive problem solvingsolving
Number line (Shiakalli & Gagatsis, 2006)
Schematic drawings,a triadic diagram of
relations (Willis & Fuson, 1988;
Vergnaud, 1982; Marshall, 1995)
Picture of a particular situation(Duval, 2005; Theodoulou,
Gagatsis & Theodoulou, 2004)
The informational picture
?
The cakes I have had The cakes I have had ready since yesterday.ready since yesterday.
I made some I made some more cakes in more cakes in the morning.the morning.
These are the cakes I have These are the cakes I have now. How many cakes did I now. How many cakes did I make in the morning?make in the morning?
Geometric d
imensio
nArithmetic dim
ension
The numbers depicted on the line correspond to vectors
Points on the line can be numbered
The simultaneous presence of these two conceptualizations may limit the effectiveness of number line and thus hinder the performance of learners in arithmetical tasks (Gagatsis, Shiakalli, & Panaoura, 2003).
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
The number line
PurposePurpose
To explore the effects of the informational picture, the number line and the verbal description (text) on the solution of one-step change problems.
To investigate the possible interaction of the various representations with the mathematical structure and more specifically with the placement of the unknown on students’ ability to provide a solution to additive change problems.
To examine the sex differences in the structure of the processes involved in the solution of additive problems with multiple representations.
MethodMethod
Grade 1
Grade 2
Grade 3
Total
Girls 249 243 223 715
Boys 252 243 281 776
Total 501 486 504 1491
Participants: Primary school students 6 to 9 years of age
The test
18 18 one-step change problems one-step change problems (measure-transformation-
measure)
9 9 join situationjoin situation ( (JJ)) 9 9 separate situationseparate situation ( (S)S)
VV= = verbalverbal, , PP= = informational pictureinformational picture, , LL = = number linenumber line
VV P P L L
start.amount(a) transf.(b) fin.amount(c)
Type of the relationType of the relation
The placement of The placement of the unknownthe unknown
RepresentationRepresentation
start.amount(a) transf.(b) fin.amount(c)
VV P P L L
VV P P L L
VV P P L L
VV P L P L
VV P P L L
An example of the symbolization of the variables:
VJb= a verbal problem of a join situation having the unknown in the transformation
ccaabb
ResultsResults
The results of multivariate analysis of variance (MANOVA) showed that
the effect exerted by sex was not significant {F (1,1473) = 0.588, p=0.443, η2=0.000} on students’ additive problem solving performance.
Similar results were obtained in each grade separately.
Group
Girls 1.481
Boys 1.499
Boys and girls Boys and girls performed equally well. performed equally well.
Group Grade 1
Grade 2 Grade 3
Girls 1.096 1.595 1.751
Boys 1.180 1.597 1.720
Sex effect
Sex and representations
Boys and girls exhibited similar problem solving Boys and girls exhibited similar problem solving performance in each type of representation.performance in each type of representation. They both encountered greater difficulty in the They both encountered greater difficulty in the solution of problems represented as informational solution of problems represented as informational pictures compared to the other types of problems.pictures compared to the other types of problems.
Group Verbal problems
Picture problems
Number line problems
Girls 1.569 1.379 1.495
Boys 1.602 1.379 1.516
Whole sample: Χ2(131)=544.716, CFI= 0.965, RMSEA=0.046
Whole sample, girls, boys: Χ2(276)=741.621, CFI = 0.961, RMSEA = 0.048
Figure 1: The confirmatory factor analysis (CFA) model for the role of the representations and the positions of the unknown on additive problem solving by the whole sample and by girls and boys, separately
.70 .71 .70
.94 .93 .94
1.02 1.02 1.03
.93 .95 .91
1.01 1.02 1.00
.72 .70 .70 .52 .53 .52 .60 .62 .58 .50 .49 .50 .63 .62 .64 .54 .54 .55
.68 .69 .66
.73 .76 .72
.69 .70 .68
.71 .71 .71
.73 .74 .73
.56 .55 .57
.74 .74 .74
.67 .67 .68
.79 .78 .80
.65 .63 .60
.74 .75 .73
VJa3
VSa6
VJb15
VSb12
PSa18
PSb8
LJb7
LJa11
LSa16
PJb17
PJa9
LSb5
VSc1
VJc10
PJc4
PSc13
Verbal, unk. a, b
Unk.c
Number line, unk. a, b
Picture, unk. a, b
LSc14
LJc2
Problem-solving ability
The first, second and third coefficient of each factor stand for the application of the model on the performance of the whole sample, girls and boys respectively.
Remarks on the role of Remarks on the role of representations in problem solvingrepresentations in problem solving
The findings revealed that students (boys and girls) dealt flexibly and similarly with problems of a simple structure regardless of the mode of representation. However, when they confronted problems of a complex structure they activated distinct cognitive processes in their solutions with reference to the mode of representation.
Apart from the structure of the problem, the different modes of representation do have an effect on additive problem solving.
There is an important interaction between the mathematical structure and the mode of representation in problem solving.
Χ2(276)=449.815, CFI=0.942, RMSEA=0.050
Figure 2: The CFA model for the role of the representations and the positions of the unknown on additive problem solving by first grade girls and boys, separately
The fit of the model
was good.
.62 .64
.84 .93
1.02 1.04
.96 .92
1.01 1.01
.59 .70 .46 .51 .58 .59 .47 .55 .51 .59 .51 .54
.52 .54
.69 .66
.61 .62
.68 .68
.73 .70
.54 .58
.69 .69
.52 .55
.73 .78
.63 .55
.63 .66
VJa3
VSa6
VJb15
VSb12
PSa18
PSb8
LJb7
LJa11
LSa16
PJb17
PJa9
LSb5
VSc1
VJc10
PJc4
PSc13
Verbal, unk. a, b
Unk.c
Number line, unk. a, b
Picture, unk. a, b
LSc14
LJc2
Problem-solving ability
Χ2(276)=519.138, CFI=0.920, RMSEA=0.060
Figure 3: The model for the role of the representations and the positions of the unknown on additive problem solving by second grade girls and boys, separately
The fit of the model
was acceptable.
.69 .66
.99 .91
1.02 1.07
.87 .82
1.04 1.02
.71 .65 .45 .38 .57 .47 .46 .40 .64 .58 .47 .48
.70 .59
.72 .65
.62 .53
.64 .63
.66 .68
.47 .46
.64 .66
.68 .64
.80 .75
.55 .48
.71 .62
VJa3
VSa6
VJb15
VSb12
PSa18
PSb8
LJb7
LJa11
LSa16
PJb17
PJa9
LSb5
VSc1
VJc10
PJc4
PSc13
Verbal, unk. a, b
Unk.c
Number line, unk. a, b
Picture, unk. a, b
LSc14
LJc2
Problem-solving ability
The model in third gradeThe model in third grade
The application of the model in third grade students as a whole was acceptable [Χ2(131)=334.744, CFI=0.931, RMSEA=0.056], but the relations among the abilities involved (factor loadings) were weaker compared to the younger students’. This indicates that the dependence of the older students’ solution processes on the mode of representation and the placement of the unknown was different from the younger students.
The fit of the model on boys and girls of third grade was poor [Χ2(276)=658.382, CFI=0.877, RMSEA=0.074].
The model seemed to apply to the boys of the particular grade (after some minor modifications), but not to the girls.
The particular structure was not sufficient to describe the solution of the additive problems by third grade girls.
Concluding remarksConcluding remarks
The results provided a strong case for the role of different modes of representation in combination with the placement of the unknown in additive problem solving.
Informational pictures may have a rather complex role in problem solving compared to the use of the other modes of representation. the very interpretation of the informational picture
requires extra and perhaps more complex mental processes relative to the verbal mode of representation. That is, the thinker needs to draw information from different sources of representation and connect them.
Boys and girls in the whole sample and in each grade exhibited similar levels of performance both in general and at each representational type of problems.
Common remarks between boys and girls across the three grades
Sex and age
Boys and girls in first and second grade made sense of additive problems in multiple representations by using similar processes. This phenomenon was stronger among the younger students.
Third grade boys and girls, despite their similar performance, were found to activate different processes in problem solving with multiple representations.
Third graders used processes that were less dependent on the mode of representation and thus on its interaction with the placement of the unknown compared to younger students. Older students could be able to recognize the common
mathematical structure not only of the simple problems (model), but also of the complex problems in different representations and deal more flexibly with them than younger students (Gagatsis & Elia, 2004).
Concluding remarksConcluding remarksImplications for future researchImplications for future research
Development generates general problem-solving strategies that are increasingly independent of representational facilitators (Gagatsis & Elia, 2004).
This study indicates that girls probably begin to develop or employ explicitly and systematically these strategies earlier than boys.
It would be theoretically interesting and practically useful if this inference was further examined in a future study. This would require a longitudinal study combining quantitative and qualitative approaches to map the processes activated by boys and girls at different stages of the particular age span.