Estudio de emociones en un proceso de ruptura cognitiva a través del reconocimiento facial

Referencias bibliográficas

• Adegun, I. P. y Vadapalli, H. B. (2020). Facial micro-expression recognition: A machine learning approach. Scientific African, 8, e00465. https://doi.org/10.1016/j.sciaf.2020.e00465
• Azari, B., Westlin, C., Satpute, A. B., Hutchinson, J. B., Kragel, P. A., Hoemann, K., Khan, Z., Wormwood, J. B., Quigley, K. S., Erdogmus, D., Dy, J., Brooks, D. H. y Barrett, L. F. (2020). Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience. Scientific Reports, 10(1), 20284. https://doi.org/10.1038/s41598-020-77117-8
• Barrett, L. F. (2017). The theory of constructed emotion: an active inference account of interoception and categorization. Social Cognitive and Affective Neuroscience, 12(1), 1-23. https://doi.org/10.1093/scan/nsw154
• Barrett, L. F., Adolphs, R., Marsella, S., Martinez, A. M. y Pollak, S. D. (2019). Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements. Psychological Science in the Public Interest, 20(1). https://doi.org/10.1177/1529100619832930
• Barrett, L. F., Mesquita, B. y Gendron, M. (2011). Context in Emotion Perception. Current Directions in Psychological Science, 20(5), 286-290. https://doi.org/10.1177/0963721411422522
• Bellocchi, A. (2019). Early career science teacher experiences of social bonds and emotion management. Journal of Research in Science Teaching, 56(3), 322-347. https://doi.org/10.1002/tea.21520
• Bellocchi, A. y Ritchie, S. M. (2015). «I Was Proud of Myself That I Didn’t Give Up and I Did It»: Experiences of Pride and Triumph in Learning Science. Science Education, 99(4), 638-668. https://doi.org/10.1002/sce.21159
• Black, J. B., Segal, A., Vitale, J. M. y Fadjo, C. L. (2012). Embodied cognition and learning environment design. En S. Land y D. Jonassen (Eds.), Theoretical foundations of learning environments (pp. 198-223). Routledge. https://doi.org/10.4324/9781410603203
• Borrachero, A. B., Brígido, M., Mellado, L., Costillo, E. y Mellado, V. (2014). Emotions in prospective secondary teachers when teaching science content, distinguishing by gender. Research in Science and Technological Education, 32(2), 182-215. https://doi.org/10.1080/02635143.2014.909800
• Brun, G., Doguoglu, U. y Kuenzle, D. (2016). Epistemology and Emotions. Routledge. https://doi.org/10.4324/9781315580128
• Coppin, G. y Sander, D. (2021). Theoretical approaches to emotion and its measurement. En H. Meiselman (Ed.), Emotion Measurement (pp. 3-37). Elsevier. https://doi.org/10.1016/B978-0-12-821124-3.00001-6
• Darvishi, A., Khosravi, H., Sadiq, S. y Weber, B. (2022). Neurophysiological Measurements in Higher Education: A Systematic Literature Review. International Journal of Artificial Intelligence in Education, 32(2), 413-453. https://doi.org/10.1007/s40593-021-00256-0
• Dávila-Acedo, M. A., Cañada, F., Sánchez-Martín, J., Airado-Rodríguez, D. y Mellado, V. (2021). Emotional performance on physics and chemistry learning: the case of Spanish K-9 and K-10 students. International Journal of Science Education, 43(6), 823-846. https://doi.org/10.1080/09500693.2021.1889069
• De Gelder, B. (2006). Towards the neurobiology of emotional body language. Nature Reviews Neuroscience, 7(3), 242-249. https://doi.org/10.1038/nrn1872
• Delors, J. (1996). Learning: the treasure within. Report to UNESCO of the international commission on education for the twenty-first century.
• Dolan, R. J. (2002). Emotion, Cognition, and Behavior. Science, 298(5596). https://doi.org/10.1126/science.1076358
• Driver, R. y Easley, J. (1978). Pupils and paradigms: A review of literature related to concept development in adolescent science students. Studies in Science Education, 5(1). https://doi.org/10.1080/03057267808559857
• Driver, R., Guesne, E. y Tiberghein, A. (1985). Children’s ideas in science. Open University Press.
• Duit, R. (1999). Conceptual Change Approaches in Science Education. En New perspectives on conceptual change.
• Ekman, P. y Friesen, W. V. (1978). Facial Action Coding System. Palo Alto CA Consulting, (2). Consulting Psychologists Press.
• Ekman, P., Friesen, W. V. y Hager, J. C. (2002). The facial action coding system CD-ROM. Research Nexus.
• Engelmann, K. y Bannert, M. (2021). Analyzing temporal data for understanding the learning process induced by metacognitive prompts. Learning and Instruction, 72(2021), 101205. https://doi.org/10.1016/j.learninstruc.2019.05.002
• Ezquerra, A., Agen, F., Rodríguez-Arteche, I. y Ezquerra-Romano, I. (2022). Integrating Artificial Intelligence into Research on Emotions and Behaviors in Science Education. Eurasia Journal of Mathematics, Science and Technology Education, 18(4), em2099. https://doi.org/10.29333/ejmste/11927
• Ezquerra, A., Agen, F., Toma, R. B. y Ezquerra-Romano, I. (2023). Using applying facial emotion recognition to research emotional phases in an inquiry-based science activity. Research in Science & Technological Education, 1-24. https://doi.org/10.1080/02635143.2023.2232995
• Fernández-Carro, R., Vílchez, J. E., Vílchez-González, J. M. y Ezquerra, A. (2023). Multivariate Analysis of Beliefs in Pseudoscience and Superstitions Among Pre-service Teachers in Spain. Sci & Educ, 32(4), 909-925. https://doi.org/10.1007/s11191-022-00354-y
• Fredricks, J. A. (2011). Engagement in School and Out-of-School Contexts: A Multidimensional View of Engagement. Theory Into Practice, 50(4), 327-335. https://doi.org/10.1080/00405841.2011.607401
• Graesser, A. C. (2020). Emotions are the experiential glue of learning environments in the 21st century. Learning and Instruction, 70(2020), 101212. https://doi.org/10.1016/j.learninstruc.2019.05.009
• Jeong, J. S., González-Gómez, D. y Cañada-Cañada, F. (2016). Students’ Perceptions and Emotions Toward Learning in a Flipped General Science Classroom. Journal of Science Education and Technology, 25(5), 747-758. https://doi.org/10.1007/s10956-016-9630-8
• Ko, B. C. (2018). A brief review of facial emotion recognition based on visual information. Sensors (Switzerland), 18(2), 401. https://doi.org/10.3390/s18020401
• Lämsä, J., Hämäläinen, R., Koskinen, P. y Viiri, J. (2018). Visualising the temporal aspects of collaborative inquiry-based learning processes in technology-enhanced physics learning. International Journal of Science Education, 40(14), 1697-1717. https://doi.org/10.1080/09500693.2018.1506594
• Laukenmann, M., Bleicher, M., Fu, S., Gläser-Zikuda, M., Mayring, P. y von Rhöneck, C. (2003). An investigation of the influence of emotional factors on learning in physics instruction. International Journal of Science Education, 25(4), 489-507. https://doi.org/10.1080/09500690210163233
• Liaw, H., Yu, Y. R., Chou, C. C. y Chiu, M. H. (2021). Relationships between Facial Expressions, Prior Knowledge, and Multiple Representations: a Case of Conceptual Change for Kinematics Instruction. Journal of Science Education and Technology, 30(2), 227-238. https://doi.org/10.1007/s10956-020-09863-3
• Loderer, K., Pekrun, R. y Plass, J. L. (2019). Emotional Foundations of Game-based Learning. En J. L. Plass, E. Richard, R. E. Mayery B. D. Homer (Eds.), The Handbook of Game-based Learning (pp. 111-151). MIT Press.
• Lombardi, D. y Sinatra, G. M. (2013). Emotions about teaching about human-induced climate change. International Journal of Science Education, 35(1), 167-191. https://doi.org/10.1080/09500693.2012.738372
• Marcos-Merino, J. M. (2019). Análisis de las relaciones emociones-aprendizaje de maestros en formación inicial con una práctica activa de Biología. Revista Eureka sobre enseñanza y divulgación de las ciencias, 16(1), 1603. https://doi.org/10.25267/rev_eureka_ensen_divulg_cienc.2019.v16.i1.1603
• Marcos-Merino, J. M., Esteban Gallego, M. R. y Gómez Ochoa de Alda, J. A. (2022). Conocimiento previo, emociones y aprendizaje en una actividad experimental de ciencias. Enseñanza de las Ciencias. Revista de investigación y experiencias didácticas, 40(1). https://doi.org/10.5565/rev/ensciencias.3361
• Matusovich, H. y McCord, R. (2012). Work in progress: Does motivation matter for conceptual change? exploring the implications of «hot cognition» on conceptual learning. Proceedings - Frontiers in Education Conference, FIE. https://doi.org/10.1109/FIE.2012.6462394
• McCloskey, M. (1983). Intuitive physics. Scientific American, 284(4), 122-130.
• McLeod, D. B. (1992). Research on affect in mathematics education: A reconceptualization. En D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 575-595). Macmillan.
• Mellado Jiménez, V., Borrachero, A. B., Brígido, M., Melo, L. V., Dávila, M. A., Cañada, F., Conde, M. C., Costillo, E., Cubero, J., Esteban, R., Martínez, G., Ruiz, C., Sánchez, J., Garritz, A., Mellado, L., Vázquez, B., Jiménez, R. y Bermejo, M. L. (2014). Las emociones en la enseñanza de las ciencias. Enseñanza de las Ciencias. Revista de investigación y experiencias didácticas, 32(3). https://doi.org/10.5565/rev/ensciencias.1478
• Murphy, P. K. y Alexander, P. A. (2008). The role of knowledge, beliefs, and interest in the conceptual change process: A synthesis and meta-analysis of the research. En International handbook of research on conceptual change.
• Novak, J. y Mintzes, J. J. (1988). Enseñanza de las Ciencias para Entendimiento. Academic Press.
• Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18(4), 315-341. https://doi.org/10.1007/s10648-006-9029-9
• Pekrun, R., Goetz, T., Frenzel, A. C., Barchfeld, P. y Perry, R. P. (2011). Measuring emotions in students’ learning and performance: The Achievement Emotions Questionnaire (AEQ). Contemporary Educational Psychology, 36(1), 36-48. https://doi.org/10.1016/j.cedpsych.2010.10.002
• Pekrun, R. y Linnenbrink-Garcia, L. (2014). International handbook of emotions in education. En International Handbook of Emotions in Education. https://doi.org/10.4324/9780203148211
• Piaget, J. y García, R. (1973). Las explicaciones causales. Barral Editores.
• Pintrich, P. R., Marx, R. W. y Boyle, R. A. (1993). Beyond Cold Conceptual Change: The Role of Motivational Beliefs and Classroom Contextual Factors in the Process of Conceptual Change. Review of Educational Research, 63(2). https://doi.org/10.3102/00346543063002167
• Posner, G. J., Strike, K. A., Hewson, P. W. y Gertzog, W. A. (1982). Accommodation of a scientific conception: Toward a theory of conceptual change. Science Education, 66(2). https://doi.org/10.1002/sce.3730660207
• Pozo, J. I. y Carretero, M. (1987). Del Pensamiento Formal a las Concepciones Espontáneas: ¿Qué Cambia en la Enseñanza de la Ciencia?». Infancia y Aprendizaje, 10(38), 35-52. https://doi.org/10.1080/02103702.1987.10822161
• Pozo, J. I., del Puy Pérez, M., Sanz, A. y Limón, M. (1992). Las ideas de los alumnos sobre la ciencia como teorías implícitas. Infancia y Aprendizaje, 15(57). https://doi.org/10.1080/02103702.1992.10822321
• Pozo, J. I. y Gómez Crespo, M. Á. (1998). Aprender y enseñar ciencia. Ediciones Morata.
• Rivière, A. (1991). Objetos con mente. Alianza.
• Rowlands, M. (2010). The new science of the mind. The MIT Press.
• Schiller, D. (2020). For Now We See through an AI Darkly; but Then Face-to-Face: A Brief Survey of Emotion Recognition in Biometric Art. Przegląd Kulturoznawczy, 3(45), 230-260. https://doi.org/10.4467/20843860PK.20.025.12585
• Schnotz, W., Vosniadou, S. y Carretero, M. (Eds.). (1999). New perspectives in conceptual change research. Elsevier.
• Sinatra, G. M. y Taasoobshirazi, G. (2018). The Self-Regulation of Learning and Conceptual Change in Science. En D. H. Schunk y J. A. Greene (Eds.), Handbook of Self-Regulation of Learning and Performance (pp. 153-165). Routledge. https://doi.org/10.4324/9781315697048-10
• Stöckli, S., Schulte-Mecklenbeck, M., Borer, S. y Samson, A. C. (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
• Taber, K. S. (2017). The Nature of Student Conceptions in Science. En K. S. Taber y B. Akpan (Eds.), Science Education (pp. 119-131). SensePublishers. https://doi.org/10.1007/978-94-6300-749-8_9
• Tomasello, M. (2019). The Cultural Origins of Human Cognition. En The Cultural Origins of Human Cognition. Harvard University Press. https://doi.org/10.2307/j.ctvjsf4jc
• Tytler, R. y Osborne, J. (2012). Student attitudes and aspirations towards science. En Second International Handbook f Science Education (pp. 597-625).
• Vaessen, M., Van der Heijden, K. y de Gelder, B. (2019). Decoding of emotion expression in the face, body and voice reveals sensory modality specific representations. bioRxiv, 869578. https://doi.org/10.1101/869578
• Vázquez Alonso, A. y Manassero Mas, M. A. (2009). Expectativas sobre un trabajo futuro y vocaciones científicas en estudiantes de educación secundaria. Revista electrónica de investigación educativa, 11(1), 1-20.
• Viennot, L. (1979). Spontaneous reasoning in elementary dynamics. European Journal of Science Education, 1(2). https://doi.org/10.1080/0140528790010209
• Vosniadou, S. (Ed.). (2008). International Handbook of Research on Conceptual Change. Routledge. https://doi.org/10.4324/9780203874813
• Vosniadou, S., Vamvakoussi, X. y Skopeliti, I. (2008). The framework theory approach to the problem of conceptual change. En International handbook of research on conceptual change (February 2019).
• West, L. H. T. y Pines, A. L. (1985). Cognitive structure and conceptual change. En Educational Psychology. Academic Press.