EDUCATIONAL ROBOTICS BETWEEN NEUROSCIENCES AND ARTIFICIAL INTELLIGENCE: A SYSTEMATIC ANALYSIS

Chiara Panciroli, Manuela Fabbri, Anita Macauda

Abstract


The paper focuses on research on educational robotics, neuroscience and artificial intelligence, in relation to the development of learning processes and the relationship between body, mind and knowledge construction. The first part of the contribution defines the theoretical frameworks of reference on neuroscience and artificial intelligence on the one hand and on educational robotics on the other. In the second part, the first results of a systematic analysis of the contributions published over 2010-2020 are presented. In fact, in recent years, many initiatives have involved primary and secondary schools in innovative projects for the application of robotics, especially in the STEM disciplines. These projects show how robotic technology is able to support the development of students' cognitive, socio-relational and aesthetic-emotional processes. In fact, the younger generations are offered the possibility through robotics to experiment with new spaces of action / communication between the different areas of knowledge.


Parole chiave


Educational robotics, Neuroscience, Artificial Intelligence, Learning, Educational Technologies

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Alimisis, D., Moro, M., Arlegui, J., Pina, A., Frangou, S., & Papanikolaou, K. (2007). Robostics & constructivism in education: the TERECoP project. In Proceedings of the 11th European Logo Conference. Comenius University, Bratislava.

Angel-Fernandez, J.M. (2021). ER3STEM Framework: final version. European Commission.

https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5be02c668&appId=PPGMS

Angel-Fernandez, J.M., & Vincze, M. (2018). Towards a Definition of Educational Robotics. In P. Zech & J. Piater (Eds). Proceedings of the Austrian Robotics Workshop 2018. Innsbruck: Innsbruck University Press.

Angeli, C., Valanides, N. (2020). Developing young children's computational thinking with educational robotics: An interaction effect between gender and scaffolding strategy. Computers in Human Behavior, 105, 105954. Doi: 10.1016/j.chb.2019.03.018

Anwar, S., Bascou, N.A., & Menekse, M. (2019). A Systematic Review of Studies on Educational Robotics. Journal of Pre-College Engineering Education Research (J-PEER), 9(2), doi: 10.7771/2157-9288.1223

Bargagna, S., Castro, E., Cecchi, F., Cioni, C., •Dario, P… Sgandurra, G. (2019). Educational Robotics in Down Syndrome: A Feasibility Study. Technology, Knowledge and Learning, 24, 315-323. doi: 10.1007/s10758-018-9366-z

Benitti, F.B.V. (2012). Exploring. The Educational Potential of Robotics in Schools: A Systematic Review. Computers and Education, 58, 978-988.

Benvenuti, M. Piobbico, G., & Mazzoni, E. (2017). Robots and Socio Cognitive Conflict Enhance Wayfinding in Children. Annual Review of Cybertherapy and Telemedicine, 15, 33-38.

Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., & Engelhardt, K. (2016). Developing Computational Thinking in Compulsory Education. Implication for policy and practice. European Commission-Joint Research Centre. Luxembourg: Pubblications Office of the European Union.

Bocconi S., Kampylis P., & Punie Y. (2012), Innovating Learning: Key Elements for Developing Creative Classrooms in Europe, in http://publications.jrc.ec.europa.eu/repository/bitstream/JRC72278/jrc72278.pdf

Bredenfel, A. & Leimbach, T. (2010). The Roberta Initiative. Proceedings of SIMPAR 2010 Workshops (pp. 558-567). Darmstadt.

Bruner, J. (1997). Celebrating divergence: Piaget and Vygotsky. Human Development, 40(2), 63-73. http://dx.doi.org/10.1159/000278705

Carretero, R., Vuorikari, R., & Punie, Y. (2017). DigComp 2.1: The Digital Competence Framework for Citizens with eight proficiency levels and examples of use, Luxembourg: Publications Office of the European Union.

Castelvecchi, D. (2016). Can we open the black box of AI?, Nature, 538(7623), 20–23.

Castiglioni, M., Datteri, E., Zecca, L., Businaro, N., & Laudisa, F. (2012). Do socio-cognitive conflicts enhance metacognitive skills? A pilot study in educational robotics. In Metacognition 2012 – Proceedings of the 5th Biennial Meeting of the EARLI Special Interest Group 16 Metacognition (pp. 184-185). Milano, EDUCat.

Catlin, D. & Woollard, J. (2014). Educational robots and computational thinking. Proceedings of 4th International Workshop Teaching Robotics, Teaching with Robotics & 5th International Conference Robotics in Education, Padova.

Catlin, D. & Blamires, M. (2010). The Principles of Educational Robotics Applications (ERA): A framework for understanding and developing educational robots and their activities. In The 12th EuroLogo Conference. Paris.

Cheng, A.W., Su, P.C., & Chen, N.S. (2018). The Essential Applications of Educational Robot: Requirement Analysis from the Perspectives of Experts, Researchers and Instructors, Computers & Education, 126, 399-416.

Cichy, R.M., Pantazis, D., & Oliva, A. (2014). Resolving human object recognition in space and time. Nat. Neurosci. 17, 455–462.

Conti, D., Di Nuovo, S., Buono, S. &• Di Nuovo, A. (2017). Robots in Education and Care of Children with Developmental Disabilities: A Study on Acceptance by Experienced and Future Professionals. Int J of Soc Robotics, 9, 51-62. doi 10.1007/s12369-016-0359-6

Damiani, P., Santaniello, A., & Gomez Paloma, F. (2015). Ripensare la Didattica alla luce delle Neuroscienze. Corpo, abilità visuospaziali ed empatia: una ricerca esplorativa, Giornale Italiano della Ricerca Educativa, 14, 83-105.

Datteri, E., Zecca, L., Laudisa, F., Castiglioni, M. (2012). Educational robotics and science education in primary schools. In Metacognition 2012 – Proceedings of the 5th Biennial Meeting of the EARLI Special Interest Group 16 Metacognition (pp. 185-186). Milano, EDUCat.

Dewey J. (1938). Experience and education. New York: Macmillan.

Di Lieto, M. C., Castro, E., Pecini, C. Inguaggiato, E., Cecchi, F., Sgandurra, G. (2020). Improving Executive Functions at School in Children with Special Needs by Educational Robotics. Front. Psychol., 10., 2813, doi: 10.3389/fpsyg.2019.02813

Di Lieto, M. C., Castro, E., Pecini, C. Inguaggiato, E., Cecchi, F., Sgandurra, G. (2020). Empowering executive functions in 5- and 6-year-old typically developing children through educational robotics: An RCT study. Front. Psychol., 10., 3084, doi: 10.3389/fpsyg.2019.03084

Di Lieto, M. C., Inguaggiato, E., Castro, E., Cecchi, F.,…Dario, P. (2017). Educational Robotics intervention on Executive Functions in preschool children: A pilot study. Computers in Human Behavior, 71, 16-23. doi: 10.1016/j.chb.2017.01.018

Edwards, B. I., & Cheok, A. D. (2018). Why not robot teachers: Artificial intelligence for addressing teacher shortage. Applied Artificial Intelligence. oi: 10.1080/08839514.2018.1464286

Eguchi, A. (2013). Educational Robotics for Promoting 21st Century Skills. Journal of Automation, Mobile Robotics & Intelligent Systems, 8(1), 5-11. doi: 10.14313/JAMRIS_1-2014/1

Eguchi, A. (2014). Robotics as a learning tool for educational transformation. In Proceedings of 4th International Workshop Teaching Robotics, Teaching with Robotics & 5th International Conference Robotics in Education (pp. 27-34), Padova.

European Commission (2010). Europe 2020. A strategy for smart, sustainable and inclusive growth. Luxembourg: Publications Office of the European Union.

Ferrari, L., Macauda, A., Soriani, A., & Russo, V. (2020). Educational robotics and artificial intelligence education: what priorities for schools?. Form@re, 20, 68-85.

Fridin, M. (2014). Storytelling by a kindergarten social assistive robot: A tool for constructive learning in preschool education. Computers & Education, 70, 53-64.

Frison, D. (2019). La robotica educativa nei servizi educativi 0-6: un’analisi sistematica della

Letteratura. Form@re. 19(1), 30-46. doi : 10.13128/formare-24937

Gaudiello, I., & Zibetti, E. (2012). La robotique éducationnelle : état des lieux et perspectives. Psychologie Française, 58(1), 17-40. doi: 10.1016/j.psfr.2012.09.006

Glasser, M.F., Smith, S.M., Marcus, D.S., Andersson, J.L., Auerbach, E.J.,

Behrens, T.E., Coalson, T.S., Harms, M.P., Jenkinson, M., Moeller, S., et al. (2016). The Human Connectome Project’s neuroimaging approach. Nat. Neurosci. 19, 1175–1187.

González, Y.A.C., & Muñoz-Repiso, A.G.V. (2017). Educational robotics for the formation of programming skills and computational thinking in childish. Computers in Education (SIIE), 1-5.

Hassabis, D., Kumaran, D., Summerfield, C., & Botvinick, M. (2017). Neuroscience-Inspired Artificial Intelligence. Neuron, 95, 245-258. http://dx.doi.org/10.1016/j.neuron.2017.06.011

Hof, R. D. (2013). Deep learning. Retrieved from. MIT Technology Review https://www.technologyreview.com/s/513696/deep-learning/.

Jonassen, D.H. (1994). Thinking Technology: Toward a Constructivist Design Model, Educational Technology, 34(4), 34-37.

Kandlhofer, M., Hirschmugl-Gaisch, S., & Huber, P. (2016). Artificial Intelligence and Computer Science in Education: From Kindergarten to University. 2016 IEEE Frontiers in Education Conference (pp. 1-9). doi: 10.1109/FIE.2016.7757570.

Kandlhofer, M., Steinbauer, G., Laßnig, J.P., Bauman, W., Plomer, S., Ballagi, S., & Alfoldi, I. (2019). Enabling the Creation of Intelligent Things: Bringing Artificial Intelligence and Robotics to Schools. In 2019 IEEE Conference on Frontiers in Education (pp. 1-5) doi: 10.1109/FIE43999.2019.9028537

Komis, V, Romero, M., & Misirli, A. (2016). A scenario-based approach for designing educational robotics activities for co-creative problem solving. International Conference EduRobotics 2016, Athens.

Kerimbayev, N., Beisov, N., Kovtun, A., & Nurym, N., & Akramova, A. (2020). Robotics in the international educational space: Integration and the experience. Education and Information Technologies, 25, 5835-5851.

Kory Westlund, J., Jeong, S., Park, H. W., Ronfard, S., Adhikari, A., Harris, P. L., DeSteno, D., & C. L. Breazeal (2017). Flat vs. Expressive storytelling: Young children’s learning and retention of a social robot’s narrative. Frontiers in Human Neuroscience, 11. doi:10.3389/fnhum.2017.00295

Kriegeskorte, N., Kievit, R.A. (2013). Representational geometry: integrating cognition, computation, and the brain. Trends Cogn. Sci. 17, 401-412

Jdeed, M., Schranz, M., & Elmenreicha, W. (2020). A study using the low-cost swarm robotics platform spiderino in education. Computers and Education Open, 1, 100017. doi: 10.1016/j.caeo.2020.100017

La Paglia, F., Francomano, M., Riva, G., & La Barbera, D. (2019). Educational Robotics to develop of executive functions visual spatial abilities, planning and problem solving. Annual Review of CyberTherapy

and Telemedicine, 16, 80-86.

La Paglia, F., La Cascia, C., Francomano, M., & La Barbera, D.. (2017). Educational Robotics to Improve Mathematical and Metacognitive Skills. Annual Review of CyberTherapy and Telemedicine. 15.

Lepuschitz, W., Merdan, M., & Koppensteiner, G. (2018) (Eds.). Robotics in Education: Methods and Applications for Teaching and Learning, Cham: Springer.

Liying, X., & Baichang, Z. (2018). A systematic review on teaching and learning robotics content

knowledge in K-12. Computers & Education, 127, 267-282.

Lye, N.C., Wong, K.W., & Chiou, A. (2013). Framework for educational robotics: a multiphase approach to enhance user learning in a competitive arena, Interactive Learning Environments, 142-155.

Machi, L., & McEvoy, B. (2008). The Literature Review: Six Steps to Success. Newbury Park: Corwin Press

Marblestone, A.H.,Wayne, G., & Kording, K.P. (2015). Toward an

integration of deep learning and neuroscience. Frontiers in Computational Neuroscience, 10(94)

McKibbon K.A. (2006). Systematic reviews and librarians. Library trends, 55, 1, 202-215.

Misirli, A. & Komis, V. (2014). Robotics and programming concepts in early childhood education: A conceptual framework for designing educational scenarios. Research on e-Learning and ICT in Education, 99-118.

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

Nugent, G., Barker, B.S., & Grandgenett N. (2012). The impact of educational robotics on student STEM learning, attitudes, and workplace skills. In B.S. Barker, G. Nugent, N. Grandgenett, & V.I. Adamchuk (Eds.), Robotics in K-12 education: A new technology for learning (pp. 186-203). Hershey, PA: IGI Global.

Ospennikova E., Ershovb M., Iljina I. (2015). Educational Robotics as an Innovative Educational Technology. In Procedia - Social and Behavioral Sciences, 214, 18-26. doi: 10.1016/j.sbspro.2015.11.588

Pane, J. F., Steiner, E. D., Baird, M. D., Hamilton, L. S., & Pane, J. D. (2017). Informing progress: Insights on personalized learning implementation and effects. Retrieved from Santa Monica, CA: RAND

Corporation https://www.rand.org/pubs/research_reports/RR2042.html.

Papadopoulos, I., Lazzarino, R., Miah, S., Weaver, T., Thomas, B., &

Koulouglioti, C. (2020). A systematic review of the literature regarding socially assistive robots in pre-tertiary education. Computers & Education, 55. doi: 10.1016/j.compedu.2020.103924

Received 30 September 2019; Received in revised for

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

Papert, S. (1993). The children’s machine: Rethinking school in the age of the computer. NewYork, NY: Basic Books.

Pearson (2019). The global learner survey. Retrieved from; https ://www.pearson.com/content/dam/one-dot-com/one-dot-com/global/Files/news /gls/Pearson_Global_Learner_Survey_2019.pdf.

Petre, M., & Price, B. (2004). Using Robotics to Motivate ‘Back Door’ Learning. Education and Information Technologies, 9(2), 147-158.

Piaget, J. (1970). Genetic epistemology. New York: Columbia University Press.

Pontecorvo, C., Ajello, A.M., & Zucchermaglio, C. (1995). I contesti sociali dell’apprendimento. Milano: LED.

Rappaport, J. M., Richter, S. B., & Kennedy, D. T. (2018). A Strategic Perspective on Using Symbolic Transformation in STEM Education: Robotics and Automation. International Journal of Strategic Decision Sciences, 7(1), 39-40. doi 10.4018/IJSDS.2016010103

Redecker, C,. & Punie, Y. (2017). DigCompEdu. Proposal for a European Framework for the Digital Competence of Educators, Luxembourg: Publications Office of the European Union.

Richardson, J., & Milovidov, E. (2019). Digital Citizenship education Handbook. Being online, Well-being online, Rights online. Strasbourg: Council of Europe Committee of Ministers Publishing.

Resnick, M. (2017). Lifelong kindergarten: Cultivating creativity through projects, passions, peers, and play, Cambridge, MA: MIT Press.

Rivoltella, P.C. (2014). La previsione. Neuroscienze, apprendimento, didattica. Brescia: La Scuola.

Rossi, P.G. (2011). Didattica enattiva. Complessità, teoria dell’azione, professionalità docente. Roma: Carocci.

Salas-Pilco, S. Z. (2020). The impact of AI and robotics on physical, social-emotional and intellectual learning outcomes: An integrated analytical framework, British Journal of Educational Technology, 51(5) 1808–1825; doi:10.1111/bjet.12984

Sanchez, H., Martìnez, L.S., & Gonzàlez, J.D. (2019). Educational Robotics as a Teaching tool in higher education institutions: A bibliographical analysis. Journal of Physics: Conference Series, Vol. 1391, pp. 1-6.

Scaradozzi, D., Screpanti, L., Cesaretti, L., Storti, M., & Mazzieri, E. (2019). Implementation and assessment methodologies of Teachers’ training courses for STEM activities. Technology, Knowledge and Learning, 24(2), 247-268. https://doi.org/10.1007/s10758-018-9356-1.

Stone, A., & Farkhatdinov, I. (2017). Robotics Education for Children at Secondary School Level and Above. Conference Paper in Lecture Notes in Computer Science. doi: 10.1007/978-3-319-64107-2_47

Taylor, P.C. (2016). Why is a STEAM Curriculum Perspective Crucial to the 21st Century? 14th Annual conference of the Australian Council for Educational Research, 7-9 August 2016, Brisbane: Murdoch University Research.

Toh, L.P.E., Causo, A., P.W., Tzuo, P.W., Chen, I.M., Yeo, S.H. (2016). A Review on the Use of Robotics, Education and Young Children. Educational Technology & Society, 19(2), 148-163.

Ullman, S. (2019). Using neuroscience to develop artificial intelligence. Science, 363(6428), 692-693. DOI: 10.1126/science.aau6595

Verner, I. M. (2004). Robot Contest as a Laboratory for Experiential Engineering Education. ACM Journal on Educational Resources in Computing, 4(2).

Wing, J.M. (2006). Computational Thinking. Communications of the ACM, 49(3), 33-35.

Wing, J.M. (2017). Computational thinking’s influence on research and education for all. Italian Journal of Educational Technology, 25(2), 7-14.




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