Propuesta de un Tutor Cognitivo semi-automatizado con gamificación e interfaces tangibles para álgebra
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Álvarez, I.; Gómez-Chacón, I. M.; Ursini, S. (2015). Understanding the Algebraic Variable : Comparative Study of Mexican and Spanish Students, 11(6), 1507-1529. DOI: http://doi.org/10.12973/eurasia.2015.1409a
Biggs, J. (1996). Mejoramiento de la enseñanza mediante la alineación constructiva, 1-9.
Chen, O.; Kalyuga, S.; Sweller, J. (2015). The worked example effect , the generation effect and element interactivity. Journal of Educational Psychology, 107(3), 689-704. DOI: http://doi.org/10.1037/edu0000018
Chrysafiadi, K.; Virvou, M. (2013). A knowledge representation approach using fuzzy cognitive maps for better navigation support in an adaptive learning system. SpringerPlus, 2(1), 81. DOI: http://doi.org/10.1186/2193-1801-2-81
Cuendet, S.; Dehler-Zufferey, J.; Ortoleva, G.; Dillenbourg, P. (2015). An integrated way of using a tangible user interface in a classroom. International Journal of Computer-Supported Collaborative Learning, 10(2), 183-208. DOI: http://doi.org/10.1007/s11412-015-9213-3
Etchegaray Centeno, M. C.; Guzmán Franco, M. D.; Duarte Hueros, A. M. (2017). Diseño de un recurso multimedia on line basado en Inteligencias Múltiples Design of an online multimedia resource based on Multiple Intelligences. Campus Virtuales, 6(1), 51-65.
Faghihi, U.; Brautigam, A.; Jorgenson, K.; Martin, D.; Brown, A.; Measures, E.; Maldonado-Bouchard, S. (2014). How gamification applies for educational purpose specially with college algebra. Procedia Computer Science, 41, 182-187. DOI: http://doi.org/10.1016/j.procs.2014.11.102
Fazel Zarandi, M. H.; Khademian, M.; Minaei-bidgoli, B.; Türkşen, I. B. (2012). A Fuzzy Expert System Architecture for Intelligent Tutoring Systems : A Cognitive Mapping Approach. Journal of Intelligent Learning Systems and Applications, 4(February), 29-40. DOI: http://doi.org/10.4236/jilsa.2012.41003
Feldman, J.; Monteserin, A.; Amandi, A. (2014). Automatic detection of learning styles: state of the art. Artificial Intelligence Review, (May 2014), 157-186. DOI: http://doi.org/10.1007/s10462-014-9422-6
Franck Dernoncourt (2013). Introduction to fuzzy logic control. Essentials of Fuzzy Modeling and Control, (January), 109-153. DOI: http://doi.org/10.1017/CBO9781107415324.004
Garcia-H., H.; Reyes-Garcia, C. A.; Morales-G., R. (2004). On the design and implementation of Fuzzy Cognitive Maps for Intelligent Tutoring Systems The Tolman ’ s Learning Theory.
González, C.; Mora, A.; Toledo, P. (2014). Gamification in intelligent tutoring systems. Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality - TEEM ’14 (pp. 221-225). DOI: http://doi.org/10.1145/2669711.2669903
Guerrero, G.; Ayala, A.; Mateu, J.; Casades, L.; Alamán, X. (2016). Integrating Virtual Worlds with Tangible User Interfaces for Teaching Mathematics: A Pilot Study. Sensors, 16(11), 1775. DOI: http://doi.org/10.3390/s16111775
Ishii, H. (2008). The tangible user interface and its evolution. Communications of the ACM, 51(6), 32. DOI: http://doi.org/10.1145/1349026.1349034
Kalyuga, S. (2006). Assessment of learners’ organised knowledge structures in adaptive learning environments. Applied Cognitive Psychology, 20(3), 333-342. DOI: http://doi.org/10.1002/acp.1249
Kalyuga, S.; Ayres, P.; Chandler, P.; Sweller, J. (2003). The Expertise Reversal Effect. Educational Psychologist, 38(1), 23-31. DOI: http://doi.org/10.1207/S15326985EP3801_4
Kalyuga, S.; Chandler, P.; Tuovinen, J.; Sweller, J. (2001). When problem solving is superior to studying worked examples. Journal of Educational Psychology, 93(3), 579-588. DOI: http://doi.org/10.1037//0022-0663.93.3.579
Kosko, B. (1986). Fuzzy cognitive maps. International Journal of Man-Machine Studies. DOI: http://doi.org/10.1016/S0020-7373(86)80040-2
Matsuda, N.; Cohen, W. W.; Koedinger, K. R. (2015). Teaching the teacher: Tutoring simstudent leads to more effective cognitive tutor authoring. International Journal of Artificial Intelligence in Education, 25(1), 1-34. DOI: http://doi.org/10.1007/s40593-014-0020-1
Millis, K.; Forsyth, C.; Wallace, P.; Graesser, A. C.; Timmins, G. (2016). The Impact of Game-Like Features on Learning from an Intelligent Tutoring System. Technology, Knowledge and Learning, 22(1), 1-22. DOI: http://doi.org/10.1007/s10758-016-9289-5
Muñoz, G.; Collazos, C.; González, C. (2016). Propuesta para la gamificación de actividades educativas colaborativas en CSCM. Revista Campus Virtuales, 5(2), 1-12.
OCDE (2016). Programa para la evaluación internacional de alumnos (PISA) PISA 2015 - Resultados. MÉXICO. (https://www.oecd.org/pisa/PISA-2015-Mexico-ESP.pdf)
Paas, F.; Ayres, P. (2014). Cognitive Load Theory: A Broader View on the Role of Memory in Learning and Education. Educational Psychology Review, 26(2), 191-195. DOI: http://doi.org/10.1007/s10648-014-9263-5
Papageorgiou, E. I.; Salmeron, J. L. (2013). A review of fuzzy cognitive maps research during the last decade. IEEE Transactions on Fuzzy Systems, 21(1), 66-79. DOI: http://doi.org/10.1109/TFUZZ.2012.2201727
Parsopoulos, K. E.; Papageorgiou, E. I.; Groumpos, P. P.; Vrahatis, M. N. (2003). A first study of fuzzy cognitive maps learning using particle swarm optimization. IEEE Congress on Evolutionary Computation (pp. 1440-1447).
Pedroza-Méndez, B. E.; González-Calleros, J. M.; Juárez-Ruiz, E. L. (2016). Un modelo difuso para determinar el nivel cognitivo , usando la taxonomía de Bloom (pp. 2-5).
Pedroza-Méndez, B. E.; González-Calleros, J. M.; Guerrero-García, J.; Collazos, C. A.; Ramírez-Cruz, J. F. (2017). Attach me and Detach me: An Interactive Device to Help to Teach Algebra. Scientia et Cognitio, 239-245.
Reed, S. K.; Corbett, A.; Hoffman, B.; Wagner, A.; MacLaren, B. (2013). Effect of worked examples and Cognitive Tutor training on constructing equations. Instructional Science, 41(1), 1-24. DOI: http://doi.org/10.1007/s11251-012-9205-x
Rey, G. D.; Andreas, F. (2013). The expertise reversal effect concerning instructional explanations. Instructional Science, 41(4), 635-656. DOI: http://doi.org/10.1007/s11251-012-9247-0
Rongmei, Z.; Lingling, L. (2009). Research on Internet Intelligent Tutoring System Based on MAS and CBR. 2009 International Forum on Information Technology and Applications (pp. 681-684). DOI: http://doi.org/10.1109/IFITA.2009.511
Salas, R.; Alfaro, M. (2017). Inclusión de estilos de aprendizaje como estrategia didáctica aplicada en un AVA, 6, 67-75.
Salden, R. J. C. M.; Aleven, V.; Schwonke, R.; Renkl, A. (2010a). The expertise reversal effect and worked examples in tutored problem solving. Instructional Science, 38(3), 289-307. DOI: http://doi.org/10.1007/s11251-009-9107-8
Salden, R. J. C. M.; Koedinger, K. R.; Renkl, A.; Aleven, V.; McLaren, B. M. (2010b). Accounting for Beneficial Effects of Worked Examples in Tutored Problem Solving. Educational Psychology Review, 22(4), 379-392. DOI: http://doi.org/10.1007/s10648-010-9143-6
Salmeron, J. L. (2009). Augmented fuzzy cognitive maps for modelling LMS critical success factors. Knowledge-Based Systems, 22(4), 275-278. DOI: http://doi.org/10.1016/j.knosys.2009.01.002
Seaborn, K.; Fels, D. I. (2014). Gamification in theory and action: A survey. International Journal of Human Computer Studies, 74, 14-31. DOI: http://doi.org/10.1016/j.ijhcs.2014.09.006
Sweta, S.; Lal, K. (2017). Personalized Adaptive Learner Model in E-Learning System Using FCM and Fuzzy Inference System. International Journal of Fuzzy Systems. DOI: http://doi.org/10.1007/s40815-017-0309-y
Ursini, S.; Escareño, F.; Montes, D.; Trigueros, M. (2008). Enseñanza del álgebra elemental. Una propuesta alternativa.
Yung, H.; Paas, F. (2015). Effects of computer-based visual representation on mathematics learning and cognitive load. Educational Technology & Society, 18(4), 70-77.
Zatarain-Cabada, R.; Barrón-Estrada, M. L.; Angulo, V. P.; García, A. J.; García, C. A. R. (2010). A framework for creating, training, and testing self-organizing maps for recognizing learning styles. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6249 LNCS, 53-64. DOI: http://doi.org/10.1007/978-3-642-14533-9_6
Zouhair, A.; En-Naimi, E. M.; Amami, B.; Boukachour, H.; Person, P.; Bertelle, C. (2012). Intelligent tutoring systems founded on the multi-agent incremental dynamic case based reasoning. CiSt 2012 - Proceedings: 2012 Colloquium in Information Science and Technology, 74-79. DOI: http://doi.org/10.1109/CIST.2012.6388066
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