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Articles

Observational analysis of the development of computational thinking in Early Childhood Education (5 years old) through an intervention proposal with a ground robot of programmed directionality

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References

  • Aho, A. V. 2012. “Computation and Computational Thinking.” The Computer Journal 55 (7): 832–835. doi:https://doi.org/10.1093/comjnl/bxs074.
  • Allison, P. D., and J. K. Liker. 1982. “Analyzing Sequential Categorical Data on Dyadic Interaction: A Comment on Gottman.” Psychological Bulletin 91 (2): 393–403.
  • Anguera, M. T. 1979. “Observational Typology.” Quality & Quantity. European- American Journal of Methodology 13 (6): 449–484. doi:https://doi.org/10.1007/BF00222999.
  • Anguera, M. T.. 1997. “From Prospective Patterns in Behavior to Joint Analysis with a Retrospective Perspective.” In Colloque sur Invitation "Méthodologied’analyse des Interactions Sociales". Paris: Université de la Sorbonne.
  • Anguera, M. T., O. Camerino, M. Castañer, P. Sánchez-Algarra, and A. J. Onwuegbuzie. 2017. “The Specificity of Observational Studies in Physical Activity and Sports Sciences: Moving Forward in Mixed Methods Research and Proposals for Achieving Quantitative and Qualitative Symmetry.” Frontiers in Psychology 8: 1–13. 2196. doi:https://doi.org/10.3389/fpsyg.2017.02196.
  • Anguera, M. T., M. S. Magnusson, and G. Jonsson. 2007. “Instrumentos no Estándar: Planteamiento, Desarrollo y Posibilidades [Non-Standard Instruments: Approach, Development and Possibilities].” Avances en Medición 5 (1): 63–82.
  • Aragón, S., D. Lapresa, J. Arana, M. T. Anguera, and B. Garzón. 2017. “An Example of the Informative Potential of Polar Coordinate Analysis: Sprint Tactics in Elite 1500 m Track Events.” Measurement in Physical Education and Exercise Science 27 (1): 26–33. doi:https://doi.org/10.1080/1091367X.2016.1245192.
  • Bakeman, R. 1978. “Untangling Streams of Behavior: Sequential Analysis of Observation Data.” In Observing Behaviour, Vol. II: Data Collection and Analysis Methods, edited by G. P. Sackett, 63–78. Baltimore: University Park Press.
  • Bakeman, R., and J. M. Gottman. 1986. Observing Interaction: An Introduction to Sequential Analysis. New York: Cambridge University Press.
  • Bakeman, R., and V. Quera. 1995. Analyzing Interaction: Sequential Analysis with SDIS and GSEQ. Cambridge: Cambridge University Press.
  • Bakeman, R., and V. Quera. 2011. Sequential Analysis and Observational Methods for the Behavioral Sciences. New York: Cambridge University Press.
  • Barron, B., G. Cayton-Hodges, L. Bofferding, C. Copple, L. Darling-Hammond, and M. Levine. 2011. Take a Giant Step: A Blueprint for Teaching Children in a Digital Age. New York: The Joan Ganz Cooney Center at Sesame Workshop.
  • Belasko, M., E. Herrán, and M. T. Anguera. 2019. “Dressing Toddlers at the Emmi Pikler Nursery School in Budapest: Caregiver Instrumental Behavioral Pattern.” European Early Childhood Education Research Journal 27 (6): 872–887. doi:https://doi.org/10.1080/1350293X.2019.1678928.
  • Benton, L., C. Hoyles, I. Kalas, and R. Noss. 2017. “Bridging Primary Programming and Mathematics: Some Findings of Design Research in England.” Digital Experiences in Mathematics Education 3 (2): 115–138. doi:https://doi.org/10.1007/s40751-017-0028-x.
  • Bers, M. 2008. Blocks, Robots and Computers: Learning About Technology in Early Childhood. New York: Teacher's College Press.
  • Bers, M., L. Flannery, E. R. Kazakoff, and A. Sullivan. 2014. “Computational Thinking and Tinkering: Exploration of an Early Childhood Robotics Curriculum.” Computers & Education 72: 145–157. doi:https://doi.org/10.1016/j.compedu.2013.10.020.
  • Bers, M., C. González, and U. Armas. 2019. “Coding as a Playground: Promoting Positive Learning Experiences in Childhood Classrooms.” Computers & Education 138: 130–145. doi:https://doi.org/10.1016/j.compedu.2019.04.013.
  • Bers, M., I. Ponte, C. Juelich, A. Viera, and J. Schenker. 2002. “Teachers as Designers: Integrating Robotics in Early Childhood Education.” Information Technology in Childhood Education Annual 1: 123–145.
  • Cejka, E., C. Rogers, and M. Portsmore. 2006. “Kindergarten Robotics: Using Robotics to Motivate Math, Science, and Engineering Literacy in Elementary School.” International Journal of Engineering Education 22 (4): 711–722.
  • Clements, D. H., and J. Sarama. 1997. “Research on Logo: A Decade of Progress.” Computers in the Schools 14 (1): 9–46. doi:https://doi.org/10.1300/J025v14n01_02.
  • Cohen, J. 1960. “A Coefficient of Agreement for Nominal Scales.” Educational and Psychological Measurement 20: 37–46. doi:https://doi.org/10.1177/001316446002000104.
  • Cronbach, L. J., G. C. Gleser, H. Nanda, and N. Rajaratnam. 1972. The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. NY: Wiley.
  • Denis, M. 2017. Space and Spatial Cognition: A Multidisciplinary Perspective. AbinRTon: Routledge.
  • Diago, P. D., D. Arnau, and J. A. González-Calero. 2018. “La Resolución de Problemas Matemáticos en Primeras Edades Escolares con Bee-bot. [Mathematical Problem-Solving in Early School Years with Bee-bot].” Matemáticas, Educación y Sociedad 1 (2): 36–50.
  • Espinosa, L., J. Laffey, T. Whittaker, and Y. Sheng. 2006. “Technology in the Home and the Achievement of Young Children: Findings from the Early Childhood Longitudinal Study.” Early Education and Development 17 (3): 421–441. doi:https://doi.org/10.1207/s15566935eed1703_5.
  • Fernández-Baizan, C., J. L. Arias, and M. Mendez. 2019. “Spatial Orientation Assessment in Preschool Children: Egocentric and Allocen-Tric Frameworks.” Applied Neuropsychology: Child 10 (2): 1–23. doi:https://doi.org/10.1080/21622965.2019.1630278.
  • Fessakis, G., E. Gouli, and E. Mavroudi. 2013. “Problem Solving by 5-6 Years old Kindergarten Children in a Computer Programming Environment: A Case Study.” Computers and Education 63: 87–97. doi:https://doi.org/10.1016/j.compedu.2012.11.016.
  • Gabín, B., O. Camerino, M. T. Anguera, and M. Castañer. 2012. “Lince: Multiplatform Sport Analysis Software.” Procedia Social and Behavioral Sciences 46: 4692–4694. doi:https://doi.org/10.1016/j.sbspro.2012.06.320.
  • Hernández-Mendo, A., A. Blanco-Villaseñor, J. L. Pastrana, V. Morales-Sánchez, and F. J. Ramos-Pérez. 2016. “SAGT: Aplicación Informática Para Análisis de Generalizabilidad. [SAGT: New Software for Generalizability Analysis].” Revista Iberoamericana de Psicología del Ejercicio y el Deporte 11 (1): 77–89. doi:https://doi.org/10.4321/s1578-84232012000100006.
  • Jiménez-Gestal, C., A. Berciano, and M. Salgado. 2019. “Cómo Trabajar la Orientación eSpacial de Modo Significativo en Educación INfantil: Implicaciones Didácticas. [How to Develop Spatial Orientation Skill in a Meaningful Context in Early Childhood Education: Didactical Implications].” Educación Matemática 31 (2): 61–74. doi:https://doi.org/10.24844/EM3102.03.
  • Kazakoff, E., A. Sullivan, and M. Bers. 2013. “The Effect of a Classroom-Based Intensive Robotics and Programming Workshop on Sequencing Ability in Early Childhood.” Early Childhood Education Journal 41 (4): 245–255. doi:https://doi.org/10.1007/s10643-012-0554-5.
  • Kewalramani, S., I. Palaiologou, L. Arnott, and M. Dardanou. 2020. “The Integration of the Internet of Toys in Early Childhood Education: A Platform for Multi-Layered Interactions.” European Early Childhood Education Research Journal 28 (2): 197–213. doi:https://doi.org/10.1080/1350293X.2020.1735738.
  • Landis, J. R., and G. G. Koch. 1977. “The Measurement of Observer Agreement for Categorical Data.” Biometrics 33: 159–174. doi:https://doi.org/10.2307/2529310.
  • Lee, K., A. Sullivan, and M. Bers. 2013. “Collaboration by Design: Using Robotics to Foster Social Inter- Action in Kindergarten.” Computers in the Schools 30 (3): 271–281. doi:https://doi.org/10.1080/07380569.2013.805676.
  • Manches, A., and L. Plowman. 2017. “Computing Education in Children's Early Years: A Call for Debate.” British Journal of Educational Technology 48 (1): 191–201. doi:https://doi.org/10.1111/bjet.12355.
  • Mioduser, D., and A. Kuperman. 2020. “Young Children’s Representational Structures of Robots’ Behaviors.” Design and Technology Education: An International Journal 25 (2): 143–159.
  • Pérez, G., and P. D. Diago. 2018. “Estudio exploratorio sobre lenguajes simbólicos de programación en tareas de resolución de problemas con Bee-bot. [Exploratory Study on Symbolic Programming Languages in Problem-Solving Activities with Bee-bot].” Magister: Revista de Formación del Profesorado e Investigación Educativa 30 (1 y 2): 9–20. doi:https://doi.org/10.17811/msg.30.1.2018.9-20.
  • Pöntinen, S., and S. Räty-Záborszky. 2020. “Pedagogical Aspects to Support Students’ Evolving Digital Competence at School.” European Early Childhood Education Research Journal 28 (2): 182–196. doi:https://doi.org/10.1080/1350293X.2020.1735736.
  • Portell, M., M. T. Anguera, S. Chacón-Moscoso, and S. Sanduvete-Chaves. 2015. “Guidelines for Reporting Evaluations Based on Observational Methodology (GREOM).” Psicothema 27 (3): 283–289. doi:https://doi.org/10.7334/psicothema2014.276.
  • Sackett, G. P. 1980. “Lag Sequential Analysis as a Data Reduction Technique in Social Interaction Research.” In Exceptional Infant. Psychosocial Risks in Infant-Environment Transactions, edited by D. B. Sawin, R. C. Hawkins, L. O. Walker, and J. H. Penticuff, 300–340. New York: Brunner/Mazel.
  • Skoumpourdi, C. 2010. “Kindergarten Mathematics with “Pepe the Rabbit”: How Kindergarteners use Auxiliary Means to Solve Problems.” European Early Childhood Education Research Journal 18 (3): 299–307. doi:https://doi.org/10.1080/1350293X.2010.500070.
  • Strawhacker, A., and M. Bers. 2015. ““I Want my Robot to Look for Food”: Comparing Kindergartner’s Programming Comprehension Using Tangible, Graphic, and Hybrid User Interfaces.” International Journal of Technology and Design Education 25 (3): 293–319. doi:https://doi.org/10.1007/s10798-014-9287-7.
  • Sullivan, A., and M. Bers. 2016. “Robotics in the Early Childhood Classroom: Learning Outcomes from an 8-Week Robotics Curriculum in pre-Kindergarten Through Second Grade.” International Journal of Technology and Design Education 26 (1): 3–20. doi:https://doi.org/10.1007/s10798-015-9304-5.
  • Sullivan, A., M. Bers, and C. Mihm. 2017. “Imagining, Playing, and Coding with KIBO: Using Robotics to Foster Computational Thinking in Young Children.” In Conference Proceedings of International Conference on Computational Thinking Education, edited by S. C. Kong, J. Sheldony, and K. Y. Li, 110–115. Hong Kong: The Education University of Hong Kong.
  • Tarrago, R., X. Iglesias, D. Lapresa, M. T. Anguera, L. Ruiz-Sanchís, and J. Arana. 2017. “Analysis of Diachronic Relationships in Successful and Unsuccessful Behaviors by World Fencing Champions Using Three Complementary Techniques.” Anales de Psicología 33 (3): 471–485. doi:https://doi.org/10.6018/analesps.33.3.271041.
  • Vasilyeva, M., and E. Bowers. 2006. “Children’s use of Geometric Information in Mapping Tasks.” Journal of Experimental Child Psychology 95 (4): 255–277. doi:https://doi.org/10.1016/j.jecp.2006.05.001.
  • Wang, X. C., Y. Choi, K. Benson, C. Eggleston, and D. Weber. 2020. “Teacher’s Role in Fostering Preschoolers’ Computational Thinking: An Exploratory Case Study.” Early Education and Development 32 (1): 26–48. doi:https://doi.org/10.1080/10409289.2020.1759012.
  • Wing, J. M. 2006. “Computational Thinking.” Communications of the ACM 49 (3): 33–35. doi:https://doi.org/10.1145/1118178.1118215.
  • Wing, J.M. (2008). Computational Thinking and Thinking About Computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366(1881), 3717-3725. https://doi.org/https://doi.org/10.1098/rsta.2008.0118

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