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Frustration in mathematical problemsolving: A systematic review of research
1.  Department of Mathematics, University of Auckland, Auckland, New Zealand 
Emotions are an integral part of problemsolving, but must emotions traditionally conceptualised as "negative" have negative consequences in learning? Frustration is one of the most prominent emotions reported during mathematical problemsolving across all levels of learning. Despite research aiming to mitigate frustration, it can play a positive role during mathematical problem solving. A systematic review method was used to explore how frustration usually appears in students during mathematical problemsolving and the typical patterns of emotions, behaviours, and cognitive processes that are associated with its occurrence. The findings are mixed, which informs the need for further research in this area. Additionally, there are theories and qualitative findings about the potential positive role of frustration that have not been followed up with empirical investigations, which illuminate how our findings about negative emotions may be limited by the questions we ask as researchers. With the support of research, I consider how educators may directly or indirectly address rethinking the role and consequences of frustration during problemsolving with their students.
References:
[1] 
Hannula, M., Emotions in problem solving, in Selected Regular Lectures from the 12th International Congress on Mathematical Education, S.J. Cho Ed. 2015, pp. 269288, Springer. 10.1007/9783319171876_16. Google Scholar 
[2] 
R. Zan, Affect in mathematics education: An introduction, Educational Studies in Mathematics, 63 (2006), 113122. doi: 10.1007/s1064900690282. Google Scholar 
[3] 
McCleod, D.B., The role of affect in mathematical problem solving, in Affect and Mathematical Problem Solving: A New Perspective, D.B. Mcleod and V.M. Adams Ed. 1989, pp. 2036, Springer. 10.1007/9781461236146_2. Google Scholar 
[4] 
S. D'Mello and A. Graesser, Dynamics of affective states during complex learning, Learning and Instruction, 22 (2012), 145157. doi: 10.1016/j.learninstruc.2011.10.001. Google Scholar 
[5] 
G.A. Goldin, Affective pathways and representation in mathematical problem solving, Mathematical Thinking and Learning, 2 (2000), 209219. doi: 10.1207/S15327833MTL0203_3. Google Scholar 
[6] 
Pekrun, R. and Stephens, E.J., Achievement emotions in higher education, in Higher Education: Handbook of Theory and Research, J.C. Smart Ed. 2010, 25: 257306, Springer. 10.1007/9789048185986_7. Google Scholar 
[7] 
E.A. Linnenbrink, Emotion research in education: Theoretical and methodological perspectives on the integration of affect, motivation, and cognition, Educational Psychology Review, 18 (2006), 307314. doi: 10.1007/s106480069028x. Google Scholar 
[8] 
B. Koichu, E. Katz and A. Verman, Stimulating student aesthetic response to mathematical problems by means of manipulating the extent of surprise, The Journal of Mathematical Behaviour, 46 (2017), 4257. doi: 10.1016/j.jmathb.2017.02.005. Google Scholar 
[9] 
O. Marmur and B. Koichu, Surprise and the aesthetic experience of university students: A design experiment, Journal of Humanistic Mathematics, 6 (2016), 127151. doi: 10.5642/jhummath.201601.09. Google Scholar 
[10] 
V.A. DeBellis and G.A. Goldin, Affect and metaaffect in mathematical problem solving: A representational perspective, Educational Studies in Mathematics, 63 (2006), 131147. doi: 10.1007/s1064900690264. Google Scholar 
[11] 
Leo I. Di, Curiosity...Confusion? Frustration! The role and sequencing of emotions during mathematics problem solving, Contemporary Educational Psychology, 58 (2019), 121137. doi: 10.1016/j.cedpsych.2019.03.001. Google Scholar 
[12] 
K.R. Muis, The role of epistemic emotions in mathematics problem solving, Contemporary Educational Psychology, 42 (2015), 172185. doi: 10.1016/j.cedpsych.2015.06.003. Google Scholar 
[13] 
Leo I. Di and K.R. Muis, Confused, now what? A CognitiveEmotional Strategy Training (CEST) intervention for elementary students during mathematics problem solving, Contemporary Educational Psychology, 62 (2020), 101879. doi: 10.1016/j.cedpsych.2020.101879. Google Scholar 
[14] 
B. Munzar, Elementary students' cognitive and affective responses to impasses during mathematics problem solving, Journal of Educational Psychology, 113 (2021), 104124. doi: 10.1037/edu0000460. Google Scholar 
[15] 
Sinclair and N, The roles of aesthetic in mathematical inquiry, Mathematical Thinking and Learning, 6 (2004), 261284. doi: 10.1207/s15327833mtl0603_1. Google Scholar 
[16] 
Galán, F.C. and Beal, C.R., EEG estimates of engagement and cognitive workload predict math problem solving outcomes, in 20th International Conference on User Modeling, Adaptation, and Personalization, 2012, pp. 5162, Springer. 10.1007/9783642314544_5. Google Scholar 
[17] 
O. Gómez, Achievement emotions in mathematics: Design and evidence of validity of a selfreport scale, Journal of Education and Learning, 9 (2020), 233247. doi: 10.5539/jel.v9n5p233. Google Scholar 
[18] 
Chen, L., et al., Riding an emotional rollercoaster: A multimodal study of young child's math problem solving activities, in Proceedings of the 9th International Conference on Educational Data Mining, T. Barnes, M. Chi and M. Feng Ed. 2016, pp. 3845. Google Scholar 
[19] 
G. A. Goldin, Beliefs and engagement structures: Behind the affective dimension of mathematical learning, Zentralblatt für Didaktik der Mathematik, 43 (2011), 547560. doi: 10.1007/s118580110348z. Google Scholar 
[20] 
G. A. Goldin, Problem solving heuristics, affect, and discrete mathematics, Zentralblatt für Didaktik der Mathematik, 36 (2004), 5660. doi: 10.1007/BF02655759. Google Scholar 
[21] 
D.B. McCleod, Affective issues in mathematical problem solving: Some theoretical considerations, Journal for Research in Mathematics Education, 19 (1988), 134141. doi: 10.2307/749407. Google Scholar 
[22] 
K. Weber, The role of affect in learning Real Analysis: A case study, Research in Mathematics Education, 10 (2008), 7185. doi: 10.1080/14794800801916598. Google Scholar 
[23] 
G. A. Goldin, Representational systems, learning, and problem solving in mathematics, Journal of Mathematical Behavior, 17 (1998), 137165. Google Scholar 
[24] 
R. Bjuland, Student teachers' reflections on their learning process through collaborative problem solving in geometry, Education Studies in Mathematics, 55 (2004), 199225. doi: 10.1023/B:EDUC.0000017690.90763.c1. Google Scholar 
[25] 
C. Voica, F.M. Singer and E. Stan, How are motivation and selfefficacy interacting in problemsolving and problemposing?, Educational Studies in Mathematics, 105 (2020), 487517. doi: 10.1007/s10649020100050. Google Scholar 
[26] 
DeBellis, V.A. and Goldin, G. A., Interactions between cognition and affect in eight high school students' individual problem solving, in Proceedings of the 13th Annual Meeting of PMENA, R.G. Underhill Ed. 1991, pp. 2935. Virginia Polytechnic University, Division of Curriculum and Instruction. Google Scholar 
[27] 
M.P. Carlson and I. Bloom, The cyclic nature of problem solving: An emergent multidimensional problemsolving framework, Education Studies in Mathematics, 58 (2005), 4575. doi: 10.1007/s106490050808x. Google Scholar 
[28] 
N.C. Presmeg and P. E. BalderasCañas, Visualization and affect in nonroutine problem solving, Mathematical Thinking and Learning, 3 (2001), 289313. doi: 10.1207/S15327833MTL0304_03. Google Scholar 
[29] 
O'Dell, J.R., The interplay of frustration and joy: Elementary students' productive struggle when engaged in unsolved problems, in Proceedings of the 40th annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, T.E. Hodges, G.J. Roy and A.M. Tyminski Ed. 2018, pp. 938945. University of South Carolina & Clemson University. Google Scholar 
[30] 
H.K. Warshauer, Productive struggle in middle school mathematics classrooms, Journal of Mathematics Teacher Education, 18 (2015), 375400. doi: 10.1007/s1085701492863. Google Scholar 
[31]  J. Piaget, The Psychology of Intelligence, Routledge, London, 1960. Google Scholar 
[32] 
Vygotsky, L.S., The collected works of L. S. Vygotsky: Problems of general psychology including the volume thinking and speech, Ed. by R.W. Rieber and A.S. Carton. 10.1007/9781461316558 Google Scholar 
[33] 
Pekrun, R., A socialcognitive, controlvalue theory of achievement emotions, in Motivational Psychology of Human Development, J. Heckhausen, Ed. 2000, pp. 143163, Elsevier. Google Scholar 
[34] 
A.J. Crum, P. Salovey and S. Achor, Rethinking stress: The role of mindsets in determining the stress response, Journal of Personality and Social Psychology, 104 (2013), 716733. doi: 10.1037/a0031201. Google Scholar 
[35] 
A.J. Crum, The role of stress mindset in shaping cognitive, emotional, and physiological responses to challenging and threatening stress, Anxiety, Stress, & Coping, 30 (2017), 379395. doi: 10.1080/10615806.2016.1275585. Google Scholar 
show all references
References:
[1] 
Hannula, M., Emotions in problem solving, in Selected Regular Lectures from the 12th International Congress on Mathematical Education, S.J. Cho Ed. 2015, pp. 269288, Springer. 10.1007/9783319171876_16. Google Scholar 
[2] 
R. Zan, Affect in mathematics education: An introduction, Educational Studies in Mathematics, 63 (2006), 113122. doi: 10.1007/s1064900690282. Google Scholar 
[3] 
McCleod, D.B., The role of affect in mathematical problem solving, in Affect and Mathematical Problem Solving: A New Perspective, D.B. Mcleod and V.M. Adams Ed. 1989, pp. 2036, Springer. 10.1007/9781461236146_2. Google Scholar 
[4] 
S. D'Mello and A. Graesser, Dynamics of affective states during complex learning, Learning and Instruction, 22 (2012), 145157. doi: 10.1016/j.learninstruc.2011.10.001. Google Scholar 
[5] 
G.A. Goldin, Affective pathways and representation in mathematical problem solving, Mathematical Thinking and Learning, 2 (2000), 209219. doi: 10.1207/S15327833MTL0203_3. Google Scholar 
[6] 
Pekrun, R. and Stephens, E.J., Achievement emotions in higher education, in Higher Education: Handbook of Theory and Research, J.C. Smart Ed. 2010, 25: 257306, Springer. 10.1007/9789048185986_7. Google Scholar 
[7] 
E.A. Linnenbrink, Emotion research in education: Theoretical and methodological perspectives on the integration of affect, motivation, and cognition, Educational Psychology Review, 18 (2006), 307314. doi: 10.1007/s106480069028x. Google Scholar 
[8] 
B. Koichu, E. Katz and A. Verman, Stimulating student aesthetic response to mathematical problems by means of manipulating the extent of surprise, The Journal of Mathematical Behaviour, 46 (2017), 4257. doi: 10.1016/j.jmathb.2017.02.005. Google Scholar 
[9] 
O. Marmur and B. Koichu, Surprise and the aesthetic experience of university students: A design experiment, Journal of Humanistic Mathematics, 6 (2016), 127151. doi: 10.5642/jhummath.201601.09. Google Scholar 
[10] 
V.A. DeBellis and G.A. Goldin, Affect and metaaffect in mathematical problem solving: A representational perspective, Educational Studies in Mathematics, 63 (2006), 131147. doi: 10.1007/s1064900690264. Google Scholar 
[11] 
Leo I. Di, Curiosity...Confusion? Frustration! The role and sequencing of emotions during mathematics problem solving, Contemporary Educational Psychology, 58 (2019), 121137. doi: 10.1016/j.cedpsych.2019.03.001. Google Scholar 
[12] 
K.R. Muis, The role of epistemic emotions in mathematics problem solving, Contemporary Educational Psychology, 42 (2015), 172185. doi: 10.1016/j.cedpsych.2015.06.003. Google Scholar 
[13] 
Leo I. Di and K.R. Muis, Confused, now what? A CognitiveEmotional Strategy Training (CEST) intervention for elementary students during mathematics problem solving, Contemporary Educational Psychology, 62 (2020), 101879. doi: 10.1016/j.cedpsych.2020.101879. Google Scholar 
[14] 
B. Munzar, Elementary students' cognitive and affective responses to impasses during mathematics problem solving, Journal of Educational Psychology, 113 (2021), 104124. doi: 10.1037/edu0000460. Google Scholar 
[15] 
Sinclair and N, The roles of aesthetic in mathematical inquiry, Mathematical Thinking and Learning, 6 (2004), 261284. doi: 10.1207/s15327833mtl0603_1. Google Scholar 
[16] 
Galán, F.C. and Beal, C.R., EEG estimates of engagement and cognitive workload predict math problem solving outcomes, in 20th International Conference on User Modeling, Adaptation, and Personalization, 2012, pp. 5162, Springer. 10.1007/9783642314544_5. Google Scholar 
[17] 
O. Gómez, Achievement emotions in mathematics: Design and evidence of validity of a selfreport scale, Journal of Education and Learning, 9 (2020), 233247. doi: 10.5539/jel.v9n5p233. Google Scholar 
[18] 
Chen, L., et al., Riding an emotional rollercoaster: A multimodal study of young child's math problem solving activities, in Proceedings of the 9th International Conference on Educational Data Mining, T. Barnes, M. Chi and M. Feng Ed. 2016, pp. 3845. Google Scholar 
[19] 
G. A. Goldin, Beliefs and engagement structures: Behind the affective dimension of mathematical learning, Zentralblatt für Didaktik der Mathematik, 43 (2011), 547560. doi: 10.1007/s118580110348z. Google Scholar 
[20] 
G. A. Goldin, Problem solving heuristics, affect, and discrete mathematics, Zentralblatt für Didaktik der Mathematik, 36 (2004), 5660. doi: 10.1007/BF02655759. Google Scholar 
[21] 
D.B. McCleod, Affective issues in mathematical problem solving: Some theoretical considerations, Journal for Research in Mathematics Education, 19 (1988), 134141. doi: 10.2307/749407. Google Scholar 
[22] 
K. Weber, The role of affect in learning Real Analysis: A case study, Research in Mathematics Education, 10 (2008), 7185. doi: 10.1080/14794800801916598. Google Scholar 
[23] 
G. A. Goldin, Representational systems, learning, and problem solving in mathematics, Journal of Mathematical Behavior, 17 (1998), 137165. Google Scholar 
[24] 
R. Bjuland, Student teachers' reflections on their learning process through collaborative problem solving in geometry, Education Studies in Mathematics, 55 (2004), 199225. doi: 10.1023/B:EDUC.0000017690.90763.c1. Google Scholar 
[25] 
C. Voica, F.M. Singer and E. Stan, How are motivation and selfefficacy interacting in problemsolving and problemposing?, Educational Studies in Mathematics, 105 (2020), 487517. doi: 10.1007/s10649020100050. Google Scholar 
[26] 
DeBellis, V.A. and Goldin, G. A., Interactions between cognition and affect in eight high school students' individual problem solving, in Proceedings of the 13th Annual Meeting of PMENA, R.G. Underhill Ed. 1991, pp. 2935. Virginia Polytechnic University, Division of Curriculum and Instruction. Google Scholar 
[27] 
M.P. Carlson and I. Bloom, The cyclic nature of problem solving: An emergent multidimensional problemsolving framework, Education Studies in Mathematics, 58 (2005), 4575. doi: 10.1007/s106490050808x. Google Scholar 
[28] 
N.C. Presmeg and P. E. BalderasCañas, Visualization and affect in nonroutine problem solving, Mathematical Thinking and Learning, 3 (2001), 289313. doi: 10.1207/S15327833MTL0304_03. Google Scholar 
[29] 
O'Dell, J.R., The interplay of frustration and joy: Elementary students' productive struggle when engaged in unsolved problems, in Proceedings of the 40th annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, T.E. Hodges, G.J. Roy and A.M. Tyminski Ed. 2018, pp. 938945. University of South Carolina & Clemson University. Google Scholar 
[30] 
H.K. Warshauer, Productive struggle in middle school mathematics classrooms, Journal of Mathematics Teacher Education, 18 (2015), 375400. doi: 10.1007/s1085701492863. Google Scholar 
[31]  J. Piaget, The Psychology of Intelligence, Routledge, London, 1960. Google Scholar 
[32] 
Vygotsky, L.S., The collected works of L. S. Vygotsky: Problems of general psychology including the volume thinking and speech, Ed. by R.W. Rieber and A.S. Carton. 10.1007/9781461316558 Google Scholar 
[33] 
Pekrun, R., A socialcognitive, controlvalue theory of achievement emotions, in Motivational Psychology of Human Development, J. Heckhausen, Ed. 2000, pp. 143163, Elsevier. Google Scholar 
[34] 
A.J. Crum, P. Salovey and S. Achor, Rethinking stress: The role of mindsets in determining the stress response, Journal of Personality and Social Psychology, 104 (2013), 716733. doi: 10.1037/a0031201. Google Scholar 
[35] 
A.J. Crum, The role of stress mindset in shaping cognitive, emotional, and physiological responses to challenging and threatening stress, Anxiety, Stress, & Coping, 30 (2017), 379395. doi: 10.1080/10615806.2016.1275585. Google Scholar 
Author(s)  Method  Participants  Role 
Bjuland [24]  QL  Student teachers  positive 
Carlson & Bloom [27]  QL  Mathematicians (N = 12)  inconclusive 
Chen et al. [18]  MM  Case study of a 9yearold boy  negative 
DeBellis & Goldin [26]  QL  High school students (N = 8)  positive 
DeBellis & Goldin [10]  T/QL  910 year olds (N = 19)  both 
Di Leo & Muis [13]  MM  Grade 5 students (N = 57)  negative 
Di Leo et al. [11]  MM  Study 1: Grade 56 students (N = 138); Study 2: Grade 5 students (N = 79)  both 
Galán & Beal [16]  QN  Undergraduate students (N = 16)  negative 
Goldin [23]  T  n/a  both 
Goldin [5]  T  n/a  both 
Goldin [20]  T  n/a  both 
Goldin et al. [19]  T  n/a  both 
Gómez et al. [17]  QN  Grade 9 students (N = 452)  negative 
McCleod [21]  T  n/a  negative 
Muis et al. [12]  MM  Grade 5 students (N = 79)  negative 
Munzar et al. [14]  MM  Study 1: Grade 36 students (N = 136); Study 2: Grade 5 students (N = 80)  negative 
O'Dell [29]  QL  Grade 45 students (N = 10)  positive 
Presmeg & BalderasCañas [28]  QL  Graduate students (N = 4)  both 
Voica et al. [25]  MM  Preservice teachers (N = 114)  inconclusive 
Weber [22]  QL  Case study of an undergraduate student  negative 
Note. QL = Qualitative, QN = Quantitative, T = Theoretical, MM = Mixed Methods 
Author(s)  Method  Participants  Role 
Bjuland [24]  QL  Student teachers  positive 
Carlson & Bloom [27]  QL  Mathematicians (N = 12)  inconclusive 
Chen et al. [18]  MM  Case study of a 9yearold boy  negative 
DeBellis & Goldin [26]  QL  High school students (N = 8)  positive 
DeBellis & Goldin [10]  T/QL  910 year olds (N = 19)  both 
Di Leo & Muis [13]  MM  Grade 5 students (N = 57)  negative 
Di Leo et al. [11]  MM  Study 1: Grade 56 students (N = 138); Study 2: Grade 5 students (N = 79)  both 
Galán & Beal [16]  QN  Undergraduate students (N = 16)  negative 
Goldin [23]  T  n/a  both 
Goldin [5]  T  n/a  both 
Goldin [20]  T  n/a  both 
Goldin et al. [19]  T  n/a  both 
Gómez et al. [17]  QN  Grade 9 students (N = 452)  negative 
McCleod [21]  T  n/a  negative 
Muis et al. [12]  MM  Grade 5 students (N = 79)  negative 
Munzar et al. [14]  MM  Study 1: Grade 36 students (N = 136); Study 2: Grade 5 students (N = 80)  negative 
O'Dell [29]  QL  Grade 45 students (N = 10)  positive 
Presmeg & BalderasCañas [28]  QL  Graduate students (N = 4)  both 
Voica et al. [25]  MM  Preservice teachers (N = 114)  inconclusive 
Weber [22]  QL  Case study of an undergraduate student  negative 
Note. QL = Qualitative, QN = Quantitative, T = Theoretical, MM = Mixed Methods 
Positive  Negative  Both  Inconclusive  Total  
Primary  1  4  2    7 
Secondary  1  1      2 
Tertiary    2  1    3 
Studentteachers  1      1  2 
Mathematicians        1  1 
Total  3  7  3  2  15 
*Note. The exclusively theoretical papers were not applicable so were not included (N = 15) 
Positive  Negative  Both  Inconclusive  Total  
Primary  1  4  2    7 
Secondary  1  1      2 
Tertiary    2  1    3 
Studentteachers  1      1  2 
Mathematicians        1  1 
Total  3  7  3  2  15 
*Note. The exclusively theoretical papers were not applicable so were not included (N = 15) 
Positive  Negative  Both  Omitted  Total  
Qualitative  3  1  1  1  6 
Quantitative    2      2 
MixedMethods    4  1  1  6 
Theoretical    1  5    6 
Total  3  8  7  2  20 
*Note. DeBellis & Goldin [10] was included as a theoretical study as this is where the discussion of the role of frustration is dominant. 
Positive  Negative  Both  Omitted  Total  
Qualitative  3  1  1  1  6 
Quantitative    2      2 
MixedMethods    4  1  1  6 
Theoretical    1  5    6 
Total  3  8  7  2  20 
*Note. DeBellis & Goldin [10] was included as a theoretical study as this is where the discussion of the role of frustration is dominant. 
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