Referencias

Aleven, V., & Koedinger, K. (2002). An effective metacognitive strategy: Learning by doing and explaining with a computer-based cognitive tutor. Cognitive Science, 26(2), 147-179.

Ally, M. (2004). Foundations of educational theory for online learning. En T. Anderson (Ed.), Theory and practice of online learning (pp. 15-44). Athabasca University.

Anderson, R., Boyle, C. F., Corbett, A. T., & Lewis, M. W. (1990). Cognitive modeling and intelligent tutoring. Artificial Intelligence, 42(1), 7-49. https://doi.org/10.1016/0004-3702(90)90093-F

A.P. Association. (1984). Diagnostic and statistical manual of mental disorders (4^th ed.). American Psychiatric Association.

APA. (2021). Emotion. APA dictionary of Psychology. https://dictionary.apa.org/emotion

Arroyo, I., Woolf, B., Cooper, D., Burleson, W., Muldner, K., & Christopherson, R. (2009). Emotion sensors go to school. En Diminitrova, V., Mizoguchi, R., Du Boulay, B., & Graesser, A. (eds.), Proceedings of the 14th International Conference on Artificial Intelligence in Education (pp. 17-24). IOS Press.

Bartlett, M. S., Littlewort, G., Frank, M., Lainscsek, C., Fasel, I., & Movellan, J. (2006). Fully automatic facial action recognition in spontaneous behavior. En 7th International Conference on Automatic Face and Gesture Recognition (FGR06) (pp. 223-230). IEEE.

Black, M. (1937). Vagueness: An exercise in logical analysis. Philosophy of Science, 4(4), 427-455.

Boden, M. A. (1977). Artificial intelligence and natural man. Basic Books.

Bosch, J. (2000). Design and use of software architectures: Adopting and evolving a product-line approach. Pearson Education.

Boulay, B. D. (2011). Towards a motivationally intelligent pedagogy: How should an intelligent tutor respond to the unmotivated or the demotivated? En New perspectives on affect and learning technologies (pp. 41-52). Springer.

Brusilovsky, P., & Millán, E. (2007). User models for adaptive hypermedia and adaptive educational systems. En The Adaptive web (pp. 3–53) Springer-Verlag. https://doi.org/10.1007/978-3-540-72079-9_1

Busso, C., Deng, Z., Yildirim, S., Bulut, M., Lee, C. M., Kazemzadeh, A., Lee, S., Neumann, U., & Narayanan, S. (2004). Analysis of emotion recognition using facial expressions, speech and multimodal information. En ICMI ‘04 Proceedings of the 6th International Conference on Multimodal Interfaces (pp. 205-211).

Carbonell, J. R. (1970). AI in CAI: An artificial intelligence approach to computer-aided-instruction. IEEE Transactions on Man-Machine System, 11(4), 190-202.

Chellappa, R., Wilson, C. L., & Sirohey, S. (1995). Human and machine recognition of faces: A survey. Proceedings of the IEEE, 83(5), 705-741.

Chen, Y. S., Kao, T. C., Sheu, J. P., & Chiang, C. Y. (2002). A mobile scaffolding-aid-based bird-watching learning system. En Proceedings. IEEE International Workshop on Wireless and Mobile Technologies in Education (pp. 15-22). IEEE.

Clancey, W. J. (1979). Transfer of rule-based expertise through a tutorial dialogue (Doctoral dissertation). Computer Science Stanford, CA, Stanford University. (No. STAN-CS-79-769).

Clark, J., Yallop, C., & Fletcher, J. (2007). An introduction to phonetics and phonology. Wiley-Blackwell.

Coffield, F., Moseley, D., Hall, E. & Ecclestone, K. (Ed.). (2004). Learning styles and pedagogy in post-16 learning: A systematic and critical review. Learning and Skills Research Centre.

Cohn, J. F. (2006). Foundations of human computing: Facial expression and emotion. En Proceedings of the 8th International Conference on Multimodal Interfaces (pp. 233-238).

Conati, C., & Maclare, H. (2004). Evaluating a probabilistic model of student affect. En International Conference on Intelligent Tutoring Systems (pp. 55-66). Springer.

Copeland, B. J. (2022). Artificial intelligence. Encyclopaedia britannica.

Delac, K., & Grgic, M. (2007). Face recognition, I-Tech education and publishing. Vienna, Austria.

Deleuze, G., & Guattari, F. (1988). A thousand plateaus: Capitalism and schizophrenia. Bloomsbury Publishing.

Dellaert, F., Polzin, T., & Waibel, A. (1996). Recognizing emotion in speech. En Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP’96 (Vol. 3, pp. 1970-1973). IEEE.

D’Mello, S., Dowell, N., & Graesser, A. (2009). Cohesion relationships in tutorial dialogue as predictors of affective states. En Artificial intelligence in education (pp. 9-16). Ios Press.

D’Mello, S. K., Lehman, B., & Graesser, A. (2011). A motivationally supportive affect-sensitive autotutor. En New perspectives on affect and learning technologies (pp. 113-126). Springer.

D’Mello, S., Picard, R. W., & Graesser, A. (2007). Toward an affect-sensitive autotutor. IEEE Intelligent Systems, 22(4), 53-61.

DOF (2011, 19 de agosto). Acuerdo número 592 por el que se establece la Articulación de la Educación Básica.

Ekman, P. (1972). Universals and cultural differences in facial expressions of emotion. En J. Cole (ed.), Nebraska Symposium on Motivation 1971. University of Nebraska.

Ekman, P. (1999). Facial expressions. Handbook of Cognition and Emotion, 16(301), e320.

Ekman, P., & Friesen, W. V. (1978). Facial action coding system: Investigator’s guide. Consulting Psychologists.

Ekman, P., Friesen, W. V., & Hager, J. C. (2002). Facial action coding system, a human face. ETC What is the ETC.

Essa, I. A., & Pentland, A. P. (1995). Facial expression recognition using a dynamic model and motion energy. En Proceedings of IEEE International Conference on Computer Vision (pp. 360-367). IEEE.

European-Commission. (2001). The eLearning Action Plan designing tomorrow’s education. Commission of the European Communities. https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2001:0172:FIN:EN:PDF

Felder, R. M. (1996). Matters of style. ASEE Prism, 6(4), 18-23.

Felder, R. M., & Silverman, L. K. (1988). Learning and teaching styles in engineering education. Engineering Education, 78(7), 674-681.

Felder, R. M., & Soloman, B. A. (2004). Index of learning styles questionnaire. North Carolina State University. http://www.engr.ncsu.edu/learningstyles/ilsweb.html

Felder, R. M., & Spurlin, J. (2005). Applications, reliability and validity of the index of learning styles. International Journal of Engineering Education, 21(1), 103-112.

Forbes-Riley, K., & Litman, D. J. (2009). Adapting to student uncertainty improves tutoring dialogues. En AIED (pp. 33-40).

Gardner, H. (2000) Can technology exploit our many ways of knowing? En D. T. Gordon (Ed.), The digital classroom: How technology is changing the way we teach and learn (pp. 32 – 35). Harvard Education Letter.

Graesser, A. C., Lu, S., Jackson, G. T., Mitchell, H. H., Ventura, M., Olney, A., & Louwerse, M. M. (2004). AutoTutor: A tutor with dialogue in natural language. Behavior Research Methods, Instruments, & Computers, 36(2), 180-192.

Hasan, M. A., Noor, N. F. M., Rahman, S. S. B. A., & Rahman, M. M. (2020). The transition from intelligent to affective tutoring system: A review and open issues. IEEE Access, 8, 204612-204638.

Haykin, S. (1999). Neural networks: A comprehensive foundation (2^nd ed). Prentice-Hall.

Holland, J.H. (1975). Adaptation in natural and artificial systems. University of Michigan.

Ji, Q., Lan, P., & Looney, C. (2006). A probabilistic framework for modeling and real-time monitoring human fatigue. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 36(5), 862-875.

Kaliouby, R. E., & Robinson, P. (2005). Real-time inference of complex mental states from facial expressions and head gestures. En Real-time vision for human-computer interaction (pp. 181-200). Springer.

Kasabov, N. K. (1998). Foundations of neural networks, fuzzy systems, and knowledge engineering. The MIT Press.

Keefe, J. W., & Thompson, S. D. (1987). Learning Style: Theory and Practice. National Association of Secondary School Principals.

Keegan, D. (2000). M-Learning. How far has it come? (Propuesta de proyecto de Ericsson para la Comisión Europea).

Khan, M. M., Ward, R. D., & Ingleby, M. (2009). Classifying pretended and evoked facial expressions of positive and negative affective states using infrared measurement of skin temperature. ACM Transactions on Applied Perception (TAP), 6(1), 1-22.

Kohonen, T. (1990). The self-organizing map. Proceedings of the IEEE, 78(9), 1464-1480.

Kulik, C. L. C., & Kulik, J. A. (1991). Effectiveness of computer-based instruction: An updated analysis. Computers in Human Behavior, 7(1-2), 75-94.

Langner, O., Dotsch, R., Bijlstra, G., Wigboldus, D. H., Hawk S. T., & Van Knippenberg, A. D. (2010). Presentation and validation of the Radboud Faces Database. Cognition and Emotion, 24(8), 1377–1388. https://doi.org/10.1080/02699930903485076

Lee, C. M., Narayanan, S., & Pieraccini, R. (2001). Recognition of negative emotions from the speech signal. En IEEE Workshop on Automatic Speech Recognition and Understanding 2001, ASRU’01 (pp. 240-243). IEEE.

Lehner, F., & Nosekabel, H. (2002). The role of mobile devices in E-Learning first experiences with a wireless E-Learning environment. En Proceedings. IEEE International Workshop on Wireless and Mobile Technologies in Education (pp. 103-106). IEEE.

Lienhart, R., & Maydt, J. (2002, septiembre). An extended set of haar-like features for rapid object detection. In Proceedings. International Conference on Image Processing (vol. 1, pp. 900-903). IEEE.

Littlewort, G. C., Bartlett, M. S., & Lee, K. (2007, noviembre). Faces of pain: Automated measurement of spontaneousallfacial expressions of genuine and posed pain. En Proceedings of the 9th International Conference on Multimodal Interfaces (pp. 15-21).

Litzinger, T., Lee, S. H., Wise, J., & Felder, R. (2005). A study of the reliability and validity of the Felder Soloman Index of Learning Styles. Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition, https://doi.org/10.18260/1-2--15321

Luckin, R., Holmes, W., Grifths, M. y Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson. https://www.pearson.com/content/dam/one-dot-com/one-dot-com/global/Files/about-pearson/innovation/Intelligence-Unleashed-Publication.pdf

Lukasiewickz, J. (1930). Philosophische Bemerkungen zu mehrwertigen Systemen des Aussagenkalküls. Comptes rendus des séances de la Société des Sciences et des Lettres de Varsovie, 51-77.

Marín I., Hierro, E. (2013). Gamificación. Empresa Activa.

Mavrikis, & M., Holmes, W. (2019). Intelligent learning environments: Design, usage and analytics for future schools. En Yu, S., Niemi, H., Mason, J. (Eds.), Shaping future schools with digital technology: Perspectives on rethinking and reforming education. Springer. https://doi.org/10.1007/978-981-13-9439-3_4

McKimm, J., Jollie, C., & Cantillon, P. (2003). Web based learning. Bmj, 326(7394), 870-873.

Mills, D. W. (2002). Applying what we know: Student learning styles. http://www.csrnet.org/csrnet/articles/student-learning-styles.html.

Molnar, A. R. (1990). Computers in education: A historical perspective of the unfinished task. THE Journal (Technological Horizons in Education), 6(3), 80-83.

Munakata, T. (2008). Fundamentals of the new artificial intelligence: Neural, evolutionary, fuzzy and more. Springer Science & Business Media.

Myers-Briggs (2010). MBTI Basics. The Myers-Briggs Foundation. https://www.myersbriggs.org/my-mbti-personality-type/mbti-basics/

Negnevitsky, M. (2005). Artificial intelligence: A guide to intelligent systems (2^nd ed.). Addison-Wesley.

Nichols, M. (2008). E-learning in context. E-Primer Series, 1, 1-28.

Nkambou, R., Bourdeau, J., & Mizoguchi, R. (2010). Introduction: What are intelligent tutoring systems, and why this book?. En Nkambou, R., Bourdeau, J., Mizoguchi, R. (Eds.), Advances in intelligent tutoring systems (pp. 1-12). Springer. https://doi.org/10.1007/978-3-642-14363-2_1

Nwana, H. S. (1990). Intelligent tutoring systems: An overview. Artificial Intelligence Review, 4(4), 251-277.

Oblinger, D. G., & Hawkins, B. L. (2005). IT myths: the myth about e-Learning. Educause Review, 40(4), 14-15.

OECD, PISA. (2018). Programa para la Evaluación Internacional de Alumnos de la OCDE PISA 2018: Resultados. https://www.oecd.org/pisa/publications/PISA2018_CN_MEX_Spanish.pdf

O’Reilly. T. (2006). Qué es web 2.0: Patrones del diseño y modelos del negocio para la siguiente generación del software. http://sociedaddelainformacion.telefonica.es/jsp/articulos/detalle.jsp?elem=2146.

Pantoja Ospina, M. A., Duque Salazar, L. I., & Correa Meneses, J. S. (2013). Modelos de estilos de aprendizaje: Una actualización para su revisión y análisis. Revista Colombiana de Educación, (64),79-105. https://www.redalyc.org/articulo.oa?id=413634076004

Papert, S. (1980). Mindstorms: Children, computers and powerful ideas. Basic Books.

Parvez, S. M., & Blank, G. D. (2008). Individualizing tutoring with learning style based feedback. En International Conference on Intelligent Tutoring Systems (pp. 291-301). Springer.

Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students’ self-regulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37(2), 91-105.

Petrovica, S., Anohina-Naumeca, A., & Ekenel, H. K. (2017). Emotion recognition in affective tutoring systems: Collection of ground-truth data. Procedia Computer Science, 104, 437-444. https://doi.org/10.1016/j.procs.2017.01.157.

Picard, R. W. (1995). Affective computing. (MIT Technical Report #321).

Plutchik, R. (1980). Measurement implications of a psychoevolutionary theory of emotions. En Assessment and modification of emotional behavior (pp. 47-69). Springer.

Polson, M. C., & Richardson, J. J. (2013). Foundations of intelligent tutoring systems. Psychology Press.

Ponce, J., & Karahoca, A. (2009). State of the art in face recognition. I-Tech Education and Publishing.

RAE. (2011). Emoción. Diccionario de la lengua española. https://dle.rae.es/emoci%C3%B3n

Rodríguez, A. G., & Caro, E. M. (2003). Estilos de aprendizaje y e-learning: Hacia un mayor rendimiento académico. Revista de Educación a Distancia (RED), (7).

Ruiz-del-Solar, J., & Navarrete, P. (2005). Eigenspace-based face recognition: A comparative study of different approaches. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 35(3), 315-325.

Salinas, J. (2005). La gestión de los entornos virtuales de formación. Seminario Internacional: La calidad de la formación en red en el Espacio Europeo de Educación Superior, 1-21.

Saucedo, L., Figueroa, K., & Rivera-Loaiza, C. (2020, noviembre). A classic game in modern time inside educational context. Avances en Interacción Humano-Computadora, 5(1) 85-89. http://aihc.amexihc.org/index.php/aihc/article/view/72

SCORM (The Sharable Content Object Reference Model). (2008). http://www.adlnet.org.

SEP (2021). Principales cifras del sistema educativo nacional 2019-2020. https://www.planeacion.sep.gob.mx/Doc/estadistica_e_indicadores/principales_cifras/principales_cifras_2019_2020_bolsillo.pdf

Sharples, M., Corlett, D., & Westmancott, O. (2002). The design and implementation of a mobile learning resource. Personal and Ubiquitous Computing, 6(3), 220-234.

Silvern, L. C. (1983). Review of Informational Technology and Its Impact on American Education. Educational Technology, 23(6), 22–24. http://www.jstor.org/stable/44425054

Stash, N. V., Cristea, A. I., & De Bra, P. M. (2004). Authoring of learning styles in adaptive hypermedia: Problems and solutions. En Proceedings of the 13th International World Wide Web Conference on Alternate Track Papers & Posters (pp. 114-123).

Stathopoulou, I. O., & Tsihrintzis, G. A. (2010). Visual affect recognition (vol. 214). IOS Press.

Tosa, N., & Nakatsu, R. (1996). Life-like communication agent-emotion sensing character” MIC” and feeling session character” MUSE”. En Proceedings of the third IEEE International Conference on Multimedia Computing and Systems (pp. 12-19). IEEE.

Valstar, M., & Pantic, M. (2006). Fully automatic facial action unit detection and temporal analysis. En 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW’06) (pp. 149-149). IEEE.

VanLehn, K. (1988). Student modeling. En Polson, M.C., Richardson, J. J. (Eds.), Foundations of Intelligent Tutoring Systems, 55, 78.

Viola, P., & Jones, M. (2001). Rapid object detection using a boosted cascade of simple features. En Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 (vol. 1, pp. 511-518). IEEE.

Woolf, B. P. (2009). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann.

Woolf, B., Burelson, W., & Arroyo, I. (2007). Emotional intelligence for computer tutors. En Workshop on modeling and scaffolding affective experiences to impact learning at 13th international conference on artificial intelligence in education, Los Angeles, California, pp. 6-15.

Wundt, W. (2008). An introduction to psychology. Muller Press. (trabajo original publicado en 1912).

Yacoob, Y., & Davis, L. S. (1996). Recognizing human facial expressions from long image sequences using optical flow. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(6), 636-642.

Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.

Zatarain Cabada, R., & Barrón Estrada, M. L. (2011). Herramienta de autor para la identificación de estilos de aprendizaje utilizando mapas auto-organizados en dispositivos móviles. Revista Electrónica de Investigación Educativa, 13(1), 43-55.

Zatarain-Cabada, R., Barrón-Estrada, M. L., Angulo, V. P., García, A. J., & García, C. A. R. (2010). A learning social network with recognition of learning styles using neural networks. En Mexican Conference on Pattern Recognition (pp. 199-209). Springer.

Zatarain-Cabada, R., Barron-Estrada, M. L., Zatarain-Cabada, R., & García, C. A. R. (2009). A fuzzy-neural network for classifying learning styles in a web 2.0 and mobile learning environment. En 2009 Latin American Web Congress (pp. 177-182). IEEE.

Zatarain Cabada, R., Barrón Estrada, M. L., & Reyes García, C. A. (2011). EDUCA: A web 2.0 authoring tool for developing adaptive and intelligent tutoring systems using a Kohonen network. Expert Systems with Applications, 38(8), 9522-9529.

Zeng, Z., Pantic, M., Roisman, G. I., & Huang, T. S. (2008). A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(1), 39-58. https://doi.org/10.1109/TPAMI.2008.52

Zhao, W., Chellappa, R., Phillips, P. J., & Rosenfeld, A. (2003). Face recognition: A literature survey. ACM Computing Surveys (CSUR), 35(4), 399-458.

Zywno, M. (2003). A contribution to validation of score meaning for Felder Soloman’s Index of Learning Styles. En Proceedings of the 2003 ASEE Annual Conference (pp. 8-31).