Email this article Il «Robotics Interest Questionnaire» (RIQ): uno strumento per rilevare i fattori sottesi all’insegnamento della robotica
Abstract
THE «ROBOTICS INTEREST QUESTIONNAIRE» (RIQ): A TOOL TO DETECT FACTORS UNDERLYING ROBOTICS TEACHING
Abstract
The growing interest of the scientific and educational community in Educational Robotics (ER) is linked to the need to develop digital skills and computational thinking in the younger generation. Through ER it is possible to train multiple cognitive skills and not only programming skills. To this end, it is decisive to outline a new competence profile for teachers that can influence this aspect by activating ER training courses. The paper presents the «Robotics Interest Questionnaire» (RIQ), a validated questionnaire in Italian able to measure with some precision the factors involved in teaching robotics, and discusses the data collected on teachers of all levels (823 teachers). The results provide normative values useful, for example, to allow the diagnostic use of the RIQ in the startup phase of teacher training, in order to hypothesize the level possessed by the participants and orientate the didactic design and the content-methodological choices of the intervention, as well as the final evaluation of the training outcomes thanks to its ability to highlight, when used before and after, improvements in the dimensions investigated: knowledge and interest, sense of self-efficacy, problem solving and collaboration.
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Agus, M., Bonaiuti, G., & Marras, A. (2023). Psychometric validation of the Robotics Interest Questionnaire (RIQ) scale with Italian teachers. Journal of Science Education and Technology, 33(1), 1-16.
https://doi.org/10.1007/s10956-023-10075-8
Alimisis, D. (2013). Educational robotics: Open questions and new challenges. Themes in Science and Technology Education, 6(1), 63-71.
Bandura, A. (1994). Self-efficacy. In V.S. Ramachaudran (Ed.), Encyclopedia of human behavior, Vol. 4 (pp. 71-81). New York: Academic Press.
Benitti, F.B.V. (2012). Exploring the educational potential of robotics in schools: A systematic review. Computers and Education, 58(3), 978-988.
https://doi.org/10.1016/j.compedu.2011.10.006
Bonaiuti, G., Campitiello, L., Di Tore, S., & Marras, A. (2022). Educational robotics studies in Italian scientific journals: A systematic review. Frontiers in Education, 7.
https://doi.org/10.3389/feduc.2022.1005669
Catlin, D., & Woollard, J. (2014). Educational robots and computational thinking. In Proceedings of 4th International Workshop Teaching Robotics, Teaching with Robotics & 5th International Conference Robotics in Education. Padova (Italy), July 18, 2014 (pp. 144-151).
https://www.terecop.eu/TRTWR-RIE2014/files/00_WFr1/00_WFr1_18.pdf
Ching, Y.H., Yang, D., Wang, S., Baek, Y., Swanson, S., & Chittoori, B. (2019). Elementary school student development of STEM attitudes and perceived learning in a STEM integrated robotics curriculum. TechTrends, 63(5), 590-601.
https://doi.org/10.1007/s11528-019-00388-0
Dorotea, N., Piedade, J.M.N., & Pedro, A. (2021). Mapping K-12 computer science teacher's interest, self-confidence, and knowledge about the use of educational robotics to teach. Education Sciences, 11(8, 443), 1-15.
https://doi.org/10.3390/educsci11080443
Fulton, K., Doerr, H., & Britton, T. (2010). STEM teachers in professional learning communities. Program Manager (June).
Giannandrea, L., Gratani, F., & Renieri, A. (2021). Teacher training on educational robotics: A systematic review. International Journal of Social Science and Technology, 6(4), 36-58.
Hattie, J. (2015). The applicability of visible learning to higher education. Scholarship of Teaching and Learning in Psychology, 1(1), 79-91.
https://doi.org/10.1037/stl0000021
Hoppe, H.U., & Werneburg, S. (2019). Computational Thinking: More than a variant of scientific Inquiry! Computational Thinking Education (May). Ed. by S.-C. Kong and H. Abelson.
ISTE - International Society for Technology in Education (2017). ISTE Standard for Educators: A Guide for teachers and other professionals.
Jaipal-Jamani, K., & Angeli, C. (2017). Effect of robotics on elementary preservice teachers' self-efficacy, science learning, and computational thinking. Journal of Science Education and Technology, 26(2), 175-192.
https://doi.org/10.1007/s10956-016-9663-z
Johnson, J. (2003). Children, robotics, and education. Artificial Life and Robotics, 7(1-2), 16-21.
https://doi.org/10.1007/BF02480880
La Marca, A., & Di Martino, V. (2021). Validation of Teacher Self-efficacy Questionnaire (QAI). Italian Journal of Educational Research, 26, 57-66.
Mannila, L., Nordén, L.Å., & Pears, A. (2018). Digital competence, teacher self-efficacy and training needs. In ICER 2018 - Proceedings of the 2018 ACM Conference on International Computing Education Research (pp. 78-85). ACM.
https://doi.org/10.1145/3230977.3230993
Mikropoulos, T., & Bellou, I. (2013). Educational robotics as mindtools. Themes in Science & Technology Education, 6(1), 5-14.
MIUR - Ministero dell'Istruzione, dell'Università e della Ricerca (2015). Piano Nazionale Scuola Digitale.
Mora-Ruano, J.G., Heine, J.H., & Gebhardt, M. (2019). Does teacher collaboration improve student achievement? Analysis of the German PISA 2012 sample. Frontiers in Education, 4, 1-12.
https://doi.org/10.3389/feduc.2019.00085
Ninković, S.R., & Knežević Florić, O. (2018). Transformational school leadership and teacher self-efficacy as predictors of perceived collective teacher efficacy. Educational Management Administration and Leadership, 46(1), 49-64.
https://doi.org/10.1177/1741143216665842
Nourbakhsh, I., Crowlet, K., Bhave, A., Hamner, E., Hsiu, T., Perez-Bergquist, A., Richards, S., & Wilkinson, K. (2005). The robotic autonomy mobile robotics course: Robot design, curriculum design and educational assessment. Autonomous Robots, 18, 103-127.
https://doi.org/10.1023/B:AURO.0000047303.20624.02
Nugent, G., Barker, B.S., Grandgenett, N., & Adamchuk, V. (2009). The use of digital manipulatives in K-12: Robotics, GPS/GIS and programming. Teacher Education Faculty Proceedings of Frontiers in Education's 39th Annual Conference 25.
https://doi.org/10.1109/FIE.2009.5350828
https://digitalcommons.unomaha.edu/tedfacproc/25
OECD (2014). Education at a Glance 2014: OECD Indicators. Oecd Publishing.
https://doi.org/10.1787/eag-2014-en
Papert, S. (1980). Mindstorms: Children, computers and powerful ideas. New York: Basic Books.
Puchner, L.D., & Taylor, A.R. (2006). Lesson study, collaboration and teacher efficacy: Stories from two school-based math lesson study groups. Teaching and Teacher Education, 22(7), 922-934.
https://doi.org/10.1016/j.tate.2006.04.011
Redecker, C., & Punie, Y. (2017). Digital Competence of Educators: DigCompEdu. Luxembourg: Publications Office of the European Union.
Selby, C., & Woollard, J. (2013). Computational thinking: The developing definition. In ITiCSE Conference '13: Proceedings of the 18th ACM Conference on Innovation and Technology in Computer Science Education. Canterbury (pp. 5-8).
https://eprints.soton.ac.uk/356481/
Sheridan, K.M., Clark, K., & Williams, A. (2013). Designing games, designing roles: A study of youth agency in an urban informal education program. Urban Education, 48(5), 734-758.
https://doi.org/10.1177/0042085913491220
Sullivan, A.A., Umaschi Bers, M., & Mihm, C. (2017). Imagining, playing, and coding with kibo: Using robotics to foster computational thinking in young children. In S.C. Kong, J. Sheldon, & K.Y. Li (Eds.), Conference Proceedings of International Conference on Computational Thinking Education 2017. Hong Kong: The Education University of Hong Kong.
Toh, L.P.E., Causo, A., Tzuo, P.W., Chen, I.M., & Yeo, S.H. (2016). A review on the use of robots in education and young children. Educational Technology & Society, 19(2), 148-163.
Tschannen-Moran, M., & Hoy, A.W. (2007). The differential antecedents of self-efficacy beliefs of novice and experienced teachers. Teaching and Teacher Education, 23(6), 944-956.
https://doi.org/10.1016/j.tate.2006.05.003
Vangrieken, K., Dochy, F., Raes, E., & Kyndt, E. (2015). Teacher collaboration: A systematic review. Educational Research Review, 15, 17-40.
https://doi.org/10.1016/j.edurev.2015.04.002
Wing, J.M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-36.
https://doi.org/10.1145/1118178.1118215
Yuen, T.T., Boecking, M., Stone, J., Tiger, E.P., Gomez, A., Guillen, A., & Arreguin, A. (2014). Group tasks, activities, dynamics, and interactions in collaborative robotics projects with elementary and middle school children. Journal of STEM Education, 15(1), 39-45.
Zee, M., & Koomen, H.M.Y. (2016). Teacher self-efficacy and its effects on classroom processes, student academic adjustment, and teacher well-being: A synthesis of 40 years of research. Review of Educational Research, 86(4), 981-1015.
https://doi.org/10.3102/0034654315626801
Zhang, Y., Luo, R., Zhu, Y., & Yin, Y. (2021). Educational robots improve K-12 students' computational thinking and STEM attitudes: Systematic review. Journal of Educational Computing Research, 59(7), 1450-1481.
https://doi.org/10.1177/0735633121994070
DOI: https://doi.org/10.7358/ecps-2024-029-marr
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