Publicado:

2019-01-31

Número:

Vol. 1 Núm. 3 (2019): Revista Noria Investigación Educativa

Sección:

Investigación e Innovación

Interacción humano- robot: consideraciones de implementación en ambientes escolares

Human-robot interaction: implementation considerations in school environments

Autores/as

  • John Jairo Páez Rodríguez Universidad Distrital Francisco José Caldas

Palabras clave:

Construccionismo, Interacción Huma- no-Robot, Robots Sociales. (es).

Descargas

Resumen (es)

Este documento de revisión explora cuatro aspectos relacionados con la integración de robots en ambientes
educativos, en donde los robots deben ser reconocidos como instrumentos de mediación que, durante la interacción con el sujeto, asumen el rol de tutor o aprendiz para establecer, mantener, cambiar o terminar relaciones que orientan los procesos de pensamiento durante el aprendizaje. Primero, reflexiona sobre las transformaciones educativas durante su integración y las lecciones aprendidas de acuerdo a experiencias internacionales exitosas. Segundo, enumera diferentes aspectos que son de necesaria consideración para garantizar que la transferencia de buenas prácticas educativas proporcione condiciones que garanticen que un mayor número de poblaciones acceda, permanezca y culmine la educación básica. Tercero, presenta aspectos concretos en los cuales la interacción humano-robot y el uso de robots mejora los resultados frente al uso de otras tecnologías. Cuarto, reflexiona sobre cómo lograr que en el proceso de interacción humano-máquina, se generen emociones fruto de una personalidad asignada a un robot, que mantengan la comunicación y el interés del alumno en el proceso cognitivo.

Biografía del autor/a

John Jairo Páez Rodríguez, Universidad Distrital Francisco José Caldas

Doctor en Ingenieria

Referencias

Aleotti, J., Micelli,V. & Caselli, S. (2014). An affordance sen- sitive system for robot to human object handover. International Journal of Social Robotics 6 (4),653–666.

Alimisis, D. (2013). Educational robotics: Open questions and new challenges. Themes in Science and Technolo- gy Education 6 (1), 63.

Alonso-Martín, F., Gorostiza, J., Malfaz, M. & Salichs, M. (2013). Multimodal fusion as communicative acts during human–robot interaction. Cybernetics and Systems 44 (8), 681–703.

Armesto, L., Fuentes-Durá, P. & Perry, P. (2015). Low-cost printable robots in education. Journal of Intelligent Robotic Systems, 1–20.

Babushkin, V. et al. (2014). Online learning in repeated hu- man-robot interactions. 2014 AAAI Fall Symposium Series.

Baddoura, R. & Venture, G. (2013). Social vs. useful hri: experiencing the familiar, perceiving the robot as a sociable partner and responding to its ac- tions. International Journal of Social Robotics 5 (4), 529–547.

Bainbridge,W. Hart, J. Kim, E. & Scassellati, B. (2011).The benefits of interactions with physically present robots over video-displayed agents. International Journal of Social Robotics 3 (1), 41–52.

Balanskat, A. y Engelhardt, K. (2014). Computing our future computer programming and coding-priorities, school cu- rricula and initiatives across europe.Technical report, Technical report, European SchoolNet.

Barak, M. & Zadok, Y. (2009). Robotics projects and learning concepts in science, technology and problem solving. International Journal of Technology and Design Education 19 (3), 289–307.

Barker, B.S. (2012). Robots in K-12 Education: A New Technology for Learning:A New Technology for Learning. IGI Global.

Barreto, F & Benitti, V. (2012). Exploring the educational potential of robotics in schools: A systematic review. Computers & Education, 58 (3), 978–988.

Bauer, A., Wollherr, D. & Buss, M. (2008). Human–robot collaboration: a survey. International Journal of Hu- manoid Robotics, 5 (01), 47–66.

Bell, C & Shaw, A. (1865). The hand: its mechanism and vital endowments, as evincing design, volume 4. Bell and Daldy.

Beran, T., Ramírez-Serrano, A., Kuzyk, R. Fior, M. & Nugent, S. (2011). Understanding how chil- dren understand robots: Perceived animism in child–robot interaction. International Journal of Human-Computer Studies 69 (7), 539–550.

Bers, M. Flannery, M., Kazakoff, E. & Sullivan, A. (2013). Computational thinking and tinkering: Explora- tion of an early childhood robotics curriculum. Computers and Education 72, 145 – 157.

Bolt, R. (1980). Put-that-there?:Voice and gesture at the graphics interface. ACM.

Breazeal, C. (2009). Role of expressive behaviour for robots that learn from people. Philosophical Transactions of the Royal Society B: Biological Sciences 364 (1535), 3527–3538.

Brooks, R. (2003). Cuerpos y máquinas, de los robots hombres a los humanos robots. volume 1. S.A. Ediciones.

Bruemmer, D. et al. (2005). Shared understanding for colla- borative control. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 35 (4), 494–504.

Buckingham, D. (2008). Más allá de la tecnología.

Cabibihan, J., Javed, H., Ang, M. & Aljunied, S. (2013). Why robots? a survey on the roles and benefits of social robots in the therapy of children with autism. International journal of social robotics 5(4), 593– 618.

Calinon, S. & Billard, A. (2007). What is the teacher’s role in robot programming by demonstration? toward bench- marks for improved learning. Interaction Studies 8 (3), 441–464.

Catlin, D. Using peer assessment with educational robots.

New Horizons inWeb Based Learning 57–65.

Chabot, D. & Chabot, M. (2009). Pedagogía emocional: sentir para aprender: integración de la inteligencia emocional en el aprendizaje. Alfaomega.

Chemuturi, R., Amirabdollahian, F. & Dautenhahn, K. (2013). Adaptive training algorithm for robot-as- sisted upper-arm rehabilitation, applicable to individualised and therapeutic human-robot interaction. Journal of neuroengineering and rehabi- litation 10 (1), 102.

Cherubini, A. et al. (2013). Multimodal control for human- robot cooperation. Intelligent Robots and Systems (IROS), International Conference on, 2202–2207.

Cole, M. (1999). Psicología cultural. Una disciplina del pasado y del futuro. (Tomás del Amo, Trad.). España: Edi- ciones Morata.

Correll, N., Wailes, C. & Slaby, S. (2014). A one-hour cu- rriculum to engage middle school students in robotics and computer science using cubelets. Dis- tributed Autonomous Robotic Systems, 165–176.

Csikszentmihalyi, M. (1998). Creatividad: el fluir y la psicolo- gía del descubrimiento y la invención.

Delval, M.J. (1975). El animismo y el pensamiento infantil.

Editorial Siglo XXI.

Denis, B. & Hubert, S. (2001). Collaborative learning in an educational robotics environment. Computers in Human Behavior, 17 (5), 465–480.

Drea. C. (2006). Studying primate learning in group con- texts: Tests of social foraging, response to novelty, and cooperative problem solving. Methods 38 (3), 162–177.

Duarte Barón, K., & Borrás Pinilla, C. (2016). Generalidades de robots paralelos. Visión electrónica, 10(1), 102-112. https://doi.org/10.14483/22484728.11711

Ekman, P. Friesen, W., & Ellsworth, P. (2013). Emotion in the human face: Guidelines for research and an inte- gration of findings. Elsevier.

Fagin, B.S. & Merkle, L. (2002). Quantitative analysis of the effects of robots on introductory computer science education. Journal on Educational Resources in Computing (JERIC), 2(4), 2.

Farenzena, D.S., Lamb, L.C. & Araujo, R.M. (2010). Combining human reasoning and machine com- putation: Towards a memetic network solution to satisfiability. In AAAI.

Fong, T. et al. (2006). A preliminary study of peer-to-peer human-robot interaction. Systems, Man and Cy- bernetics, SMC’06. IEEE International Conference on, volume 4, 3198–3203.

Foster, M., By, T., Rickert, M. & Knoll, A. (2006). Hu- man-robot dialogue for joint construction tasks. Proceedings of the 8th international conference on Mul- timodal interfaces, 68–71.

Foster, M., et al. (2008). The roles of haptic- ostensive re- ferring expressions in cooperative, task-based human-robot dialogue. Proceedings of the 3rd ACM/ IEEE international conference on Human robot interac- tion, 295– 302.

Fundación Telefónica. Aprender con tecnología: investigación in- ter- nacional sobre modelos educativos de futuro. Ariel, 2012.

Gantiva, C., Guerra, P. & Vila, J. (2011). Validación colom- biana del sistema inter- nacional de imágenes afectivas: evidencias del origen transcultural de la emoción. Acta colombiana de Psicología 14 (2), 103–111.

Giuliani, M. & Knoll, A. (2013). Using embodied multimo- dal fusion to perform supportive and instructive robot roles in human-robot interaction. Internatio- nal Journal of Social Robotics 5 (3), 345–356.

Giuliani, M. et al. (2010). Situated reference in a hybrid human-robot interaction system. Proceedings of the 6th International Natural Language Generation Conference, 67–75. Association for Computational Linguistics.

Gorostiza, J.F. et al. (2006). Multimodal human-robot in- teraction framework for a personal robot. Robot and Human Interactive Communication,The 15th IEEE International Symposium on, 39–44.

Gray, K. & Wegner, D. (2012). Feeling robots and human zombies: Mind perception and the uncanny valley. Cognition 125 (1), 125–130.

Greenfield, P. (1998). Language, tools, and brain revisited.

Behavioral and Brain Sciences 21 (01), 159–163.

Hayes, B. & Scassellati, B. (2013). Challenges in shared- envi- ronment human-robot collaboration. learning 8, 9.

Hayes, B. & Scassellati, B. (2014). Discovering task cons- traints through observation and active learning. Intelligent Robots and Systems (IROS), International Conference on, 4442–4449.

Hegel, F. Lohse, M. & Wrede, B. (2009). Effects of visual appearance on the attribution of applications in social robotics. Robot and Human Interactive Com- munication, The 18th IEEE International Symposium on, 64–71.

Hoffman, G. (2010). Anticipation in human-robot interac- tion. 2010 AAAI Spring Symposium Series.

Hong, J.C., Chen, M.Y., Wong, A. Hsu, T.F. & Peng, C.C. (2012). Developing physics concepts through hands-on problem solving: a perspective on a te- chnological project design. International Journal of Technology and Design Education 22 (4), 473–487.

Hwang W.Y. & Wu, S.Y. (2014). A case study of collabora- tion with multi-robots and its effect on children’s interaction. Interactive Learning Environments 22 (4),

–443.

Ihde, D. (2002). Los cuerpos en la tecnología. NuevasTenden- cias: Nuevas Ideas.

Ihde, D. (2004). Los cuerpos en la tecnología: Nuevas tecnolo- gías: nuevas ideas acerca de nuestro cuerpo. Editorial UOC.

Jiménez, F., Kanoh, M., Yoshikawa, T. & Furuhashi, T. (2014). Effect of collaborative learning with robot that prompts constructive interaction. In Systems, Man and Cybernetics (SMC), International Conference on, 2983–2988.

Johnston, M. et al. (1997). Unification-based multimodal integration. Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics, 281–288.

Jung,Y., Park, T. & Hong, A. (2014). Effect of robot’s title in human-robot interaction. Ubiquitous Robots and Ambient Intelligence (URAI), 11th International Confe- rence on, 28–32.

Kanda, T. et al. (2008). Analysis of humanoid appearances in human–robot interaction. Robotics, IEEE Transac- tions on 24 (3), 725–735.

Karim, M.E., Lemaignan, S. & Mondada, F. (2015). A re- view: Can robots reshape k-12 stem education? Proceedings of the International Workshop on Advanced Robotics and its Social impacts, 209- 219.

Karpov, V. (2014). Robot’s temperament. Biologically Inspi- red Cognitive Architectures 7, 76–86.

Kennedy, J., Baxter, p. & Belpaeme, T. (2014). Comparing robot embodiments in a guided discovery learning interaction with children. International Journal of Social Robotics 7 (2), 293–308.

Keren, G. &na Fridintive robot (kindsar) for children?s geo- metric thinking and metacognitive developmentin preschool education: A pilot study. Computers in Human Behavior, 35:400–412, 2014.

Kindergarten social assis-

Knoll, A. (2001). Distributed contract networks of sensor agents with adaptive reconfiguration: modelling, simulation, imple- mentation and experiments. Journal of the Franklin Institute, 338 (6), 669–705.

Knoll, A. (2003). A basic system for multimodal robot ins- truction. Pragmatics and beyond new series, 215–228.

Knoll, A., Hildenbrandt, B. & Zhang, J. (1997). Instruc- ting cooperating assembly robots through situated dialogues in natural language. In Robotics and Au- tomation, Proceedings. IEEE International Conference on, 888–894.

Konstan, J.A., Conejo, R., Marzo, J. & Oliver, N. (2011).

User modeling, adaption, and personalization.

Kory, J.M., Jeong, S. & Breazeal, C.L., (2013). Robotic learning companions for early language develop- ment. Proceedings of the 15th ACM on International conference on multimodal interaction, 71–72.

Kwak, S. et al. (2013). What makes people empathize with an emotional robot?: The impact of agency and physical embodiment on human empathy for a ro- bot. RO-MAN, 2013 IEEE, 180–185.

Kwon, W.Y. & Suh, I,H. (2014). Planning of proactive be- haviors for human–robot cooperative tasks under uncertainty. Knowledge-Based Systems 72, 81–95.

Laamanen, M. Jormanainen, I. & Sutinen, E. (2015). Thea- ter robotics for human technology education. Proceedings of the 15th Koli Calling Conference on Computing Education Research, 127–131.

Landriscina, F. (2013). Simulation and Learning: A Model-Cen- tered Approach. Springer Science, Business Media.

Lasota, P. & Shah, J. (2015). Analyzing the effects of hu- man-aware motion planning on close-proximity human– robot collaboration. Human Factors: The Journal of the Human Factors and Ergonomics Society 57 (1), 21–33.

Le Breton, D. & Pons, H. (1999). Las pasiones ordinarias: An- tropología de las emociones. Nueva Visión.

Leyzberg, D., Spaulding, S., Toneva, M. & Scassellati, B. (2012). The physical presence of a robot tutor in- creases cognitive learning gains. Proceedings of the 34th Annual Conference of the Cognitive Science Society. Austin,TX: Cognitive Science Society.

Lindh, J. & Holgersson, T. (2007). Does lego training sti- mulate pupils? ability to solve logical problems?

Lohse, M. et al. (2008). Evaluating extrovert and introvert behaviour of a domestic robot? a video study. Robot and Human Interactive Communication,The 17th IEEE International Symposium on, 488–493.

Lund, B. & Chemi, T. (2015). Dealing with Emotions. A Pe- dagogical Challenge to Innovative Learning. Sense Lykhina, M. (2012). Bunraku theater. de https:// youtu.be/ f4G68civvo8

Maeda, G. et al. (2014). Learning interaction for collabora- tive tasks with probabilistic movement primitives. Humanoid Robots (Humanoids), 14th IEEE- RAS Inter- national Conference on, 527–534.

Mann, J.A., MacDonald, B.A., Kuo, I.H, Li, X. & Broadbent,

E. (2015). People respond better to robots than computer tablets delivering healthcare instruc- tions. Computers in Human Behavior 43, 112–117.

Mannila, L. et al. (2014). Computational thinking in k-9 education. Proceedings of theWorking Group Reports of the 2014 on Innovation Technology in Computer Science Education Conference, 1–29.

Mitnik, R., Nussbaum, M. & Soto, A. An autonomous edu- cational mobile robot mediator. Autonomous Robots 25 (4), 367–382.

Mitnik, R., Recabarren, M., Nussbaum, M. & Soto, A. (2009). Collaborative robotic instruction: A gra- ph teaching experience. Computers Education 53 (2), 330–342.

Mori, M., MacDorman, K.F. & Kageki, N. (2012). The un- canny valley (from the field). Robotics & Automation Magazine 19 (2), 98–100.

Mosquera, C. et al. (2014). Política educativa y calidad de la educación básica y media en Colombia. Informe Contraloría Delegada para el Sector Social Julio 15 de 2014.

Mubin, O., Stevens, C., Shahid, S. Al Mahmud, A. & Dong,

J.J. (2013). A review of the applicability of robots in education. Journal of Technology in Education and Learning 1, 209–0015.

Müller, T., Ziaie, P. & Knoll, A. (2008). A wait-free real- time system for optimal distribution of vision tasks on multicore architectures. ICINCO-RA (1), 301–306.

Mumford, L. & De Acevedo, A. (1945). Técnica y civiliza- ción. Emecé.

Nicholas, H. & Ng, W. (2012). Factors influencing the up- take of a mechatronics curriculum initiative in five australian secondary schools. International journal of technology and design education 22 (1), 65–90.

Nikolaidis, S. & Shah, J. (2013). Human-robot cross-trai- ning: Computational formulation, modeling and evaluation of a human team training strategy. Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction, 33–40.

Nikolaidis, S., Gu, K., Ramakrishnan, R. & Shah, J. (2014). Efficient model learning for human-robot colla- borative tasks. arXiv preprint arXiv:1405.6341.

Nikolaidis, S., Gu, K., Ramakrishnan, R. & Shah, J. (2015). Efficient model learning from joint-action de- monstrations for human-robot collaborative tasks. Proceedings of the Tenth Annual ACM/IEEE International Conference on Human- Robot Interaction, 189–196.

Nitsch, V. & Popp, M. (2014). Emotions in robot psycholo- gy. Biological cybernetics 108 (5), 621–629.

Norman, D.A. (2002). The psychopathology of everyday things. Foundations of Cognitive Psychology: Core Rea- dings, 417.

Ogata, T, Sugano, S. & Tani, J. (2005). Open-end human– robot interaction from the dynamical systems perspective: mutual adaptation and incremental learning. Advanced Robotics 19 (6), 651–670.

Öztürk, P., Rossland, K. & Gundersen, O.E. (2010). A mul- tiagent framework for coordinated parallel problem solving. Applied Intelligence 33 (2), 132–143.

Páez, J. Munévar, P. &Vargas,W. (2011). Entrenador virtual para el aprendizaje de rutinas motoras, en perso- nas con ausencia de un miembro superior. Revista de Investigaciones UNAD 10 (2), 167–182.

Páez, J., Sarmiento, L. & Sarmiento, J. (2009). Prótesis me- catrónica para personas amputadas entre codo y muñeca. Tecné, episteme y didaxis: revista de la Facul- tad de Ciencia y Tecnología (25), 22–40.

Pandey, A.K. y Alami, R. (2010). Mightability maps: A perceptual level decisional framework for co-ope- rative and competitive human-robot interaction. In Intelligent Robots and Systems (IROS) International Conference on, 5842–5848.

Pandey, A.K., Ali, M. & Alami, R. (2013). To- wards a task-aware proactive sociable robot based on mul- ti- state perspective-taking. International Journal of Social Robotics, 5 (2), 215–236.

Parisi, D. (2014). Future Robots:Towards a robotic science of hu- man beings, volume 7. John Benjamins Publishing Company.

Petrovicˇ, P. & Balogh, R. (2008). Educational robotics ini- tiatives in Slovakia. Proceedings of the SIMPAR 2008 conference/Workshop? Teaching with robotics: didactic ap- proaches and experiences?, University of Padova, 122–131.

Pfeifer, R. & Bongard, J. (2006). How the Body Shapes the Way We Think: A New View of Intelligence (Bradford Books).The MIT Press.

Prado, J.A., Simplício, C., Lori, N.& Días, J. Visuoaudi- tory multimodal emotional structure to improve human-robot-interaction. International journal of social robotics 4 (1), 29–51.

Razzi, N.,Tse, R. & Campbell, M. (2014). Enabling robust hu- man-robot cooperation through flexible fully bayesian shared sensing. 2014 AAAI Spring Symposium Series.

Rickert, M. Foster, M., Giuliani, M. By, T, Panin, G. & Knoll,

A. (2007). Integrating language, vision and action for human robot dialog systems. Universal Access in Hu- man-Computer Interaction.Ambient Interaction, 987–995.

Riedo, F. et al. (2012). A two years informal learning ex- perience using the thymio robot. Advances in Autonomous Mini Robots, 37–48.

Robinson, K. (2011). Las escuelas matan la creatividad. V. TED, Entrevistador.

Rosado, A.C. (1992). La filosofía de la técnica. La Editorial, UPR.

Rosenthal-Von Der Putten, A. et al. (2014). Investigations on empathy towards humans and robots using fmri. Computers in Human Behavior 33, 201–212.

Rosenthal-Von Der Pütten, A. et al., (2013). An experi- mental study on emotional reactions towards a robot. International Journal of Social Robotics 5(1), 17–34.

Ruiz-Del Solar, J. & Avilés, R. (2004). Robotics courses for children as a motivation tool: the chilean experience. Education, IEEE Transactions on 47 (4),

–480.

Salem, M. et al. (2013). To err is human (-like): Effects of robot gesture on perceived anthropomorphism and likability. International Journal of Social Robotics 5 (3), 313–323.

Sciutti, A., Patane, L., Nori, F. & Sandini, G. (2013). Do humans need learning to read humanoid lifting actions? In Development and Learning and Epigenetic Robotics (ICDL), 2013 IEEE Third Joint International Conference on, 1–6.

Sheng, W., Thobbi, A. & Gu, Y. (2014). An integrated framework for human–robot collaborative mani- pulation.

Sidner, C.L. et al. (2005). Explorations in engagement for humans and robots. Artificial Intelligence, 166 (1), 140–164.

Simon, H. (1996). The sciences of the artificial. MIT press.

Stiefelhagen, R., et al. (2007). Enabling multimodal human– robot interaction for the karlsruhe hu- manoid robot. Robotics, IEEE Transactions on 23 (5),

–851.

Suchy.Y. Clinical neuropsychology of emotion. Guilford Press. Tielman, M., Neerincx, M. Meyer, J.J. & Looije, R. (2014).

Adaptive emotional expression in robot- child in-

teraction. Proceedings of the ACM/IEEE international conference on Human-robot interaction, 407–414.

Trafton, G., et al. (2005). Enabling effective human-robot interaction using perspective- taking in robots. Systems, Man and Cybernetics, Part A: Systems and Hu- mans, IEEE Transactions on, 35 (4), 460–470.

Turkle, S. (2005). The second self: Computers and the human spirit. Ciudad: MIT Press.

Vollstedt, A.M., Robinson, M. & Wang, E. (2007). Using robotics to enhance science, technology, engi- neering, and mathematics curricula. Proceedings of American Society for Engineering Education Pacific Southwest Annual Conference.

Wadley, L. (2013). Recognizing complex cognition through innovative technology in stone age and palaeolith- ic sites. Cambridge Archaeological Journal 23 (02), 163–183.

Wainwright, G.R. (1985). Body language. Hodder & Stoughton.

Wendt, C & Berg, G. (2009). Nonverbal humor as a new dimension of hri. Robot and Human Interactive Communication, RO-MAN 2009.The 18th IEEE Inter- national Symposium on, 183–188.

Wilson, F. (1999). The Hand: How Its Use Shapes the Brain, Language, and Human Culture. Vintage, 1st vintage books edition.

Wu,Y.H., Fassert, C. & Rigaud, A.S. (2012). Designing ro- bots for the elderly: appearance issue and beyond. Archives of gerontology and geriatrics 54 (1), 121–126.

Wynn, T. & Coolidge, F. (2003). The role of working me- mory in the evolution of managed foraging. Before Farming, (2), 1–16.

Xu, J. Broekens, J., Hindriks, K. & Neerincx, M. (2014). Robot mood is contagious: effects of robot body language in the imitation game. Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems, 973–980.

Yan, H.Ang, M. & Neow,A.A survey on perception methods for human–robot interaction in social robots. In- ternational Journal of Social Robotics 6 (1), 85–119.

Yohanan, S. & MacLean, K. (2012). The role of affective touch in human-robot interaction: Human intent and expectations in touching the haptic creature. International Journal of Social Robotics 4 (2), 163–180.

Zhang, G. & Zhang, J. (2008). The issue of robot education in china’s basic education and its strategies. Robotics, Automation and Mechatronics, Conference on, 702–705.

Cómo citar

APA

Páez Rodríguez, J. J. . (2019). Interacción humano- robot: consideraciones de implementación en ambientes escolares: Human-robot interaction: implementation considerations in school environments. Noria Investigación Educativa , 1(3). https://revistas.udistrital.edu.co/index.php/NoriaIE/article/view/16326

ACM

[1]
Páez Rodríguez, J.J. 2019. Interacción humano- robot: consideraciones de implementación en ambientes escolares: Human-robot interaction: implementation considerations in school environments. Noria Investigación Educativa . 1, 3 (ene. 2019).

ACS

(1)
Páez Rodríguez, J. J. . Interacción humano- robot: consideraciones de implementación en ambientes escolares: Human-robot interaction: implementation considerations in school environments. Noria Investig. Educ. 2019, 1.

ABNT

PÁEZ RODRÍGUEZ, John Jairo. Interacción humano- robot: consideraciones de implementación en ambientes escolares: Human-robot interaction: implementation considerations in school environments. Noria Investigación Educativa , [S. l.], v. 1, n. 3, 2019. Disponível em: https://revistas.udistrital.edu.co/index.php/NoriaIE/article/view/16326. Acesso em: 19 abr. 2024.

Chicago

Páez Rodríguez, John Jairo. 2019. «Interacción humano- robot: consideraciones de implementación en ambientes escolares: Human-robot interaction: implementation considerations in school environments». Noria Investigación Educativa 1 (3). https://revistas.udistrital.edu.co/index.php/NoriaIE/article/view/16326.

Harvard

Páez Rodríguez, J. J. . (2019) «Interacción humano- robot: consideraciones de implementación en ambientes escolares: Human-robot interaction: implementation considerations in school environments», Noria Investigación Educativa , 1(3). Disponible en: https://revistas.udistrital.edu.co/index.php/NoriaIE/article/view/16326 (Accedido: 19 abril 2024).

IEEE

[1]
J. J. . Páez Rodríguez, «Interacción humano- robot: consideraciones de implementación en ambientes escolares: Human-robot interaction: implementation considerations in school environments», Noria Investig. Educ., vol. 1, n.º 3, ene. 2019.

MLA

Páez Rodríguez, John Jairo. «Interacción humano- robot: consideraciones de implementación en ambientes escolares: Human-robot interaction: implementation considerations in school environments». Noria Investigación Educativa , vol. 1, n.º 3, enero de 2019, https://revistas.udistrital.edu.co/index.php/NoriaIE/article/view/16326.

Turabian

Páez Rodríguez, John Jairo. «Interacción humano- robot: consideraciones de implementación en ambientes escolares: Human-robot interaction: implementation considerations in school environments». Noria Investigación Educativa 1, no. 3 (enero 31, 2019). Accedido abril 19, 2024. https://revistas.udistrital.edu.co/index.php/NoriaIE/article/view/16326.

Vancouver

1.
Páez Rodríguez JJ. Interacción humano- robot: consideraciones de implementación en ambientes escolares: Human-robot interaction: implementation considerations in school environments. Noria Investig. Educ. [Internet]. 31 de enero de 2019 [citado 19 de abril de 2024];1(3). Disponible en: https://revistas.udistrital.edu.co/index.php/NoriaIE/article/view/16326

Descargar cita

Visitas

229

Descargas

Los datos de descargas todavía no están disponibles.
Loading...