Emotions associated with the process of construction the parallelepiped volume

Authors

DOI:

https://doi.org/10.15359/ru.36-1.23

Keywords:

Basic emotions, cognitive processing, computing tools, parallelepiped

Abstract

This study analyzes the emotions of students between 14 and 17 years of age when they autonomously construct a rectangular box in 2D and 3D that represents the volume of a parallelepiped, using Cabri II Plus software. The methodology was based on frequency analysis using heat maps constructed with the Python computing tool. Using non-probabilistic sampling, and with the prior informed consent of their legal representatives, 34 ninth grade elementary school students were selected from a public educational institution in the city of Medellin, Colombia, of whom 28 participated in this study. Emotion was considered from a comprehensive point of view, taking into account its evolutionary, physiological-neural, cognitive, volitional and expressive aspects. FaceReader software, a specialized tool for detecting facial expressions, was used to capture these emotions. The results showed that, due to difficulties in the construction process, emotions such as sadness, anger, neutrality, fear, disgust and surprise were experienced. In the population studied, a correlation between emotional processing capacity and cognitive processing was detected. It was concluded that, when faced with difficulties in geometric construction that required drawing parallel lines and perpendicular lines, the difference between one point of intersection and another, and the relationship between the area or volume of a parallelepiped in 2D and 3D, negative emotions associated with the lack of mastery of these concepts emerged which, if students cannot exercise self control, can inhibit their cognitive processing, blocking their mental activities and leading them to abandon the task.

References

Adegun, I., & Vadapalli, H. (2020). Facial Micro-Expression Recognition: A Machine Learning Approach. Scientific African, 8, e00465. doi: 10.1016/j.sciaf.2020.e00465

Albohn, D. N., Brandenburg, J. C., & Adams, R. B. (2019). Perceiving Emotion in the “Neutral” Face: A Powerful Mechanism of Person Perception. En U. Hess & S. Hareli (Eds.), The Social Nature of Emotion Expression (pp. 25-47). Cham: Springer. doi:10.1007/978-3-030-32968-6_1

Arias-Gómez, J., Villasis-Keever, M., & Miranda, M. (2016). El protocolo de investigación III: la población de estudio. Revista Alergia México, 63(2), 201-206. doi: 10.29262/ram.v63i2.181

Bächler, R., & Poblete, O. (2012). Interacción, emoción y cognición: Una aproximación integrada a la comprensión del comportamiento humano. Anales de Psicología, 28(2), 490-504. doi:10.6018/analesps.28.2.147601

Barrón, M., Zatarain, R., & Hernández, Y. (2014). Tutor inteligente con reconocimiento y manejo de emociones para matemáticas. Revista Electrónica de Investigación Educativa, 16(3), 88-102.

Blanco, C. (2014). Historia de la Neurociencia: El conocimiento del cerebro y la mente desde una perspectiva interdiciplinar. Madrid: Biblioteca Nueva, S.L.

Boonroungrut, C., Oo, T., & One, K. (2019). Exploring Classroom Emotion with Cloud-Based Facial Recognizer in the Chinese Beginning Class: A Preliminary Study. International Journal of Instruction, 12(1), 947-958. doi: 10.29333/iji.2019.12161a

Briñol, P., Gandarillas, B., Horcajo, J., & Becerra, A. (2010). Emoción y meta-cognición: Implicaciones para el cambio de actitud. Revista de Psicología Social, 25(2), 157-183. doi: 10.1174/021347410791063787

Cannon, W. (1987). The James-Lange Theory of Emotions: A Critical Examination and an Alternative Theory. The American Journal of Psychology, 100(3/4), 567-586. doi: 10.2307/1422695

Chakravarthy, V. S. (2019). Circuits of Emotion. En Demystifying the Brain (pp. 285-319). Singapore: Springer.

Cohen, I., Sebe, N., Garg, A., Chen, L., & Huang, T. (2003). Facial Expression Recognition from Video Sequences: Temporal and Static Modeling. Computer Vision and Image Understanding, 91(1-2), 160-187. doi: 10.1016/S1077-3142(03)00081-X

Dalgleish, T. (2004). The Emotional Brain. Nature Reviews Neuroscience, 5(7), 583-589. doi: 10.1038/nrn1432

Damasio, A. (1999). El error de Descartes: La razón de las emociones (3.a ed.). Santiago de Chile: Editorial Andrés Bello.

Damasio, A. (2011). En busca de Spinoza. Barcelona: Ediciones Destino.

Darwin, Ch. (2015). The Expression of the Emotions in Man and Animals. Chicago: University of Chicago Press.

Dávila, M., Borrachero, A., Cañada, F., Martínez, M., & Sánchez, J. (2015). Evolución de las emociones que experimentan los estudiantes del grado de maestro en educación primaria, en didáctica de la materia y la energía. Revista Eureka Sobre Enseñanza y Divulgación de Las Ciencias, 12(3), 550-564. doi: 10.25267/rev_eureka_ensen_divulg_cienc.2015.v12.i3.12

Ekman, P. (1992). An Argument for Basic Emotions. Cognition and Emotion, 6(3-4), 169-200. doi: 10.1080/02699939208411068

Ekman, P. (1999). Basic Emotions. En T. Dalgleish & M. Power (Eds.), Handbook of cognition and emotion (pp. 45-60). New York: John Wiley & Sons Ltd. doi: 10.1007/978-3-319-28099-8_495-1

Ekman, P. (2016). What Scientists Who Study Emotion Agree About. Perspectives on Psychological Science, 11(1), 31-34. doi: 10.1177/1745691615596992

Ekman, P., & Friesen, W. (1969). Nonverbal Leakage and Clues to Deception. Psychiatry 32(1), 88-106. doi: 10.1080/00332747.1969.11023575

Ekman, P., Friesen, W., & Ellsworth, P. (1972). Introduction. En P. Ekman, W.V. Friesen & P. Ellsworth (Eds.), Emotion in the Human Face (Vol. 11, pp. 1-6). Oxford: Pergamon Press. doi: 10.1016/B978-0-08-016643-8.50006-9

Fernando-Mejía, J., Rodríguez, G., Guerra, N., Bustamante, A., Chaparro, M., & Castellanos, M. (2017). Paso a Paso Programa de Educación Socioemociona, Guía Del Docente. Bogota-Colombia: Departamento Nacional de Planeación, Ministerio de Educación Nacional y Banco Mundial. Recuperado de https://www.mineducacion.gov.co/1759/w3-article-385321.html?_noredirect=1

Fernández-Abascal, E., García, B., Jiménez, M., Martín, M., & Domínguez, F. (2013). Psicología de la emoción. Madrid: Ed. Universitaria Ramón Areces.

Fernández-Berrocal, P. & Extremera, N. (2005). La Inteligencia Emocional y la educación de las emociones desde el Modelo de Mayer y Salovey. Revista Interuniversitaria de Formación del Profesorado, 19(3), 63-93.

Foglia, L., & Wilson, R. (2013). Embodied Cognition. Wiley Interdisciplinary Reviews: Cognitive Science, 4(3), 319-325. doi: 10.1002/wcs.1226

Frenzel, A., Pekrun, R., & Goetz, T. (2007a). Girls and mathematics – A ‘hopeless’ issue a control-value approach to gender differences in emotions towards mathematics. European Journal of Psychology of Education, XXII(4), 497-514. doi: 10.1007/BF03173468

Frenzel, A., Pekrun, R., & Goetz, T. (2007b). Perceived learning environment and students’ emotional experiences: A multilevel analysis of mathematics classrooms. Learning and Instruction, 17(5), 478-493. doi: 10.1016/j.learninstruc.2007.09.001

García, F., & Doménech, F. (2014). Motivación, aprendizaje y rendimiento escolar. Revista Electrónica de Motivación y Emoción, 1(0), 1-18.

Goldin, G. (2014). Perspectives on Emotion in Mathematical Engagement, Learning, and Problem Solving. En R. Pekrun & L. Linnenbrink-Garcia (Eds.), International Handbook of Emotions in Education (pp. 391-414). New York: Routledge. doi: 10.4324/9780203148211

Goleman, D. (1995). La inteligencia emocional. Barcelona: Kairós.

Haggard, E., & Isaacs, K. (1966). Micromomentary facial expressions as indicators of ego mechanisms in psychotherapy. En L. A. Gottschalk & A. H. Auerbach (Eds.), Methods of Research in Psychotherapy. The Century Psychology Series (pp. 154-165). Boston, MA: Springer. doi: 10.1007/978-1-4684-6045-2_14

Kleinginna, P. R., & Kleinginna, A. M. (1981). A categorized list of emotion definitions, with suggestions for a consensual definition. Motiv Emot 5, 345-379. doi: 10.1007/BF00992553

LeDoux, J. (2000a). Cognitive-Emotional interactions: Listen to the brain. En R. Lane & L. Nadel (Eds.), Series in affective science. Cognitive neuroscience of emotion (pp. 129-155). Oxford: Oxford University Press.

LeDoux, J. (2000b). Emotion circuits in the brain. Annual Review of Neuroscience, 23(1), 155-184. doi: 10.1146/annurev.neuro.23.1.155

Loijens, L., & Krips, O. (2019). FaceReader Methodology Note. Noldus Information Technology Bv. Recuperado de https://www.noldus.com/files/file_manager/downloads/whitepaper/FaceReader_Methodology.pdf

Nava, C., García, M., & Sánchez, M. (2021). El afecto y el razonamiento covariacional: una reflexión sobre la importancia de su estudio. Revista Educación, 45(2), 651-664.

Marino, J., Silva, J., & Luna, F. (2014). Evaluación conductual de la regulación emocional: La habilidad en revaluación y supresión y su relación con el control ejecutivo-semántico y la inteligencia emocional. Revista Neuropsicología Latinoamericana, 6(3), 55-65. doi: 10.5579/rnl.2014.0212

McLeod, D. (1992). Research on affect in mathematics education: A reconceptualization. En G. Douglas (Ed.), Handbook of research on mathematics teaching and learning. A project of the national council of teachers of mathematics (pp. 575-596). Virginia, USA: The National Council of Teachers of Mathematics.

Moreno, A., Rodríguez, J. & Rodríguez, I. (2018). La importancia de la emoción en el aprendizaje: Propuestas para mejorar la motivación de los estudiantes. Cuaderno de Pedagogía Universitaria, 15(29), 3-11. https://doi.org/10.29197/cpu.v15i29.296

Op’t Eynde, P., De Corte, E., & Verschaffel, L. (2007). Students’ Emotions. A key component of self-regulated learning? En P. A. Schutz & R. Pekrun (Eds.), Emotion in Education (pp. 185-204). Cambridge, MA: Academic Press. doi: 10.1016/B978-012372545-5/50012-5

Pan, M., Wang, J., & Luo, Z. (2018). Modelling study on learning affects for classroom teaching/learning auto-evaluation. Science Journal of Education, 6(3), 81-86. doi: 10.11648/j.sjedu.20180603.12

Papez, J. W. (1995). A Proposed Mechanism of Emotion. 1937 [Classical Article]. The Journal of Neuropsychiatry and Clinical Neurosciences, 7(1), 103-112. doi: 10.1176/jnp.7.1.103

Pekrun, R. (1992). The Impact of Emotions on Learning and Achievement: Towards a Theory of Cognitive/Motivational Mediators. Applied Psychology, 41(4), 359-376. doi: 10.1111/j.1464-0597.1992.tb00712.x

Perdomo, J., & Fernández, A. (2018). Estudio exploratorio de las emociones en la cotidianidad de las clases de matemáticas. Revista Electrónica de Investigación Educativa, 20(4), 133-143. doi: 10.24320/redie.2018.20.4.1748

Pfister, T., Li, X., Zhao, G., & Pietikäinen, M. (2011). Recognising Spontaneous Facial Micro-Expressions. Proceedings of the IEEE International Conference on Computer Vision (pp. 1449-1456). doi: 10.1109/ICCV.2011.6126401

Plutchik, R. (2001). The Nature of Emotions: Human Emotions Have Deep Evolutionary Roots, a Fact That May Explain Their Complexity and Provide Tools for Clinical Practice. American Scientist, 89(4), 344-350. http://www.jstor.org/stable/27857503

Reeve, J. (2010). Motivación y Emoción (5.a ed.). México: McGraw-Hill.

Restrepo, J. (2019). Desarrollo Cognitivo: Ecología Cultural. Ciudad de México, México: Editorial Manual Moderno.

Rosengurt, C. (2015). Aportes de la teoría filosófica de la valoración de John Dewey a la psicología. El rol de las emociones e implicancias morales. Ponencia 3. En V. Piatti, (Comp.), Memorias del V Congreso Internacional de Investigación de la Facultad de Psicología de la Universidad Nacional de La Plata (pp. 376-377). La Plata: Ed. Facultad de Psicología UNLP.

Rosenberg, E., & Ekman, P. (2020). What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS) (3.a ed.). USA: Oxford University Press.

Sharmila, S., & Kalaivani, A. (2018). Automatic Facial Emotion Analysis System for Student in Classroom Environment. International Journal of Pure and Applied Mathematics, 119(16), 2887-2894.

Stöckli, S., Schulte-Mecklenbeck, M., Borer, S., & Samson, A. (2018). Facial expression analysis with AFFDEX and FACET: A validation study. Behavior Research Methods, 50(4), 1446-1460. https://doi.org/10.3758/s13428-017-0996-1

Tonguç, G., & Ozaydın Ozkara, B. (2020). Automatic recognition of student emotions from facial expressions during a lecture. Computers and Education 148(December 2019), 103797. https://doi.org/10.1016/j.compedu.2019.103797

Tuckman, B., & Monetti, D. (2011). Psicología Educativa. México: CENGAGE Learning.

Vinces Vinces, F., Zabala-Jaramillo, L., Giraldo-Rojas, J. D., & Parraguez, M. (2021). Neuromatemática: Emociones asociadas a expresiones faciales en el aprendizaje del volumen del paralelepípedo. México: Editorial Kali.

Vincent, S., & Drape, T. (2019). Evaluating micro expressions among undergraduate students during a class intervention exercise. NACTA Journal, 63(August), 133-139.

Xolocotzin, U. (2017). An Overview of the Growth and Trends of Current Research on Emotions and Mathematics. En U. Xolocotzin (Ed.), Understanding Emotions in Mathematical Thinking and Learning (pp. 3-41). Cambridge, MA: Academic Press. doi: 10.1016/B978-0-12-802218-4.00001-7

Zabala-Jaramillo, L. A., Parraguez, M., & Giraldo-Rojas, J. D. (en prensa). Neuromatemática un estudio interdisciplinario: el caso de las emociones expresadas en la construcción del paralelepípedo. Revista Scientia et Technica, 26(3).

Published

2022-02-14

How to Cite

Emotions associated with the process of construction the parallelepiped volume. (2022). Uniciencia, 36(1), 1-19. https://doi.org/10.15359/ru.36-1.23

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Original scientific papers (evaluated by academic peers)

How to Cite

Emotions associated with the process of construction the parallelepiped volume. (2022). Uniciencia, 36(1), 1-19. https://doi.org/10.15359/ru.36-1.23

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