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Research Article

The Impact of Educational Robotics on Cognitive Outcomes in Primary Students: A Meta-Analysis of Recent Studies

Meruyert Mukhasheva , Kalibek Ybyraimzhanov , Khapiza Naubaeva , Assem Mamekova , Bibigul Almukhambetova

In recent years, educational robotics has gained ground in educational policy around the world, and primary education is no exception. However, there .

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In recent years, educational robotics has gained ground in educational policy around the world, and primary education is no exception. However, there has not yet been a thorough synthesis of methodologically appropriate empirical research on the effects of robotics upon cognitive performance among primary school students, which this paper attempted to do. Following literature screening, a total of eight studies published between 2018 and 2022 with a sample size of 567 children met inclusion criteria and were meta-analyzed. Resultantly, a medium aggregate effect size in favor of robotics experiments emerged (standardized mean difference of .641), which was significantly higher compared to non-robotics learning (p <.01). No between-study heterogeneity was detected. Subgroup analysis revealed a slightly larger overall effect for interventions on first- to third-graders rather than those in grades 4-6. Additionally, the analysis indicates that in order to enhance cognitive abilities in primary students, robotics interventions should be no longer than four weeks and involve robot construction. Based on the findings, implications, and suggestions are outlined for future research and practice.

Keywords: cognitive outcomes, educational robotics, elementary education, meta-analysis, primary students

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Alqahtani, J. S., Aldhahir, A. M., Al Ghamdi, S. S., Al Bahrani, S., Al Draiwiesh, I. A., Alqarni, A. A., Latief, K., Raya, R. P., & Oyelade, T. (2022). Inhaled nitric oxide for clinical management of COVID-19: A systematic review and meta-analysis. International Journal of Environmental Research and Public Health, 19(19), Article 12803. https://doi.org/10.3390/ijerph191912803

Amri, S., Budiyanto, C. W., Fenyvesi, K., Yuana, R. A., & Widiastuti, I. (2022). Educational robotics: Evaluating the role of computational thinking in attaining 21st century skills. Open Education Studies, 4(1), 322–338. https://doi.org/10.1515/edu-2022-0174

Anwar, S., Bascou, N. A., Menekse, M., & Kardgar, A. (2019). A systematic review of studies on educational robotics. Journal of Pre-College Engineering Education Research, 9(2), Article 2. https://doi.org/10.7771/2157-9288.1223

Athanasiou, L., Mikropoulos, T. A., & Mavridis, D. (2019). Robotics interventions for improving educational outcomes - a meta-analysis. In M. A. Tsitouridou, J. Diniz, & T. Mikropoulos (Eds.), Technology and innovation in learning, teaching and education (Vol. 993, pp. 91-102). Springer. https://doi.org/10.1007/978-3-030-20954-4_7

Beheshti, A., Chavanon, M. -L., & Christiansen, H. (2020). Emotion dysregulation in adults with attention deficit hyperactivity disorder: A meta-analysis. BMC Psychiatry, 20, Article 120. https://doi.org/10.1186/s12888-020-2442-7

Bellas, F., & Sousa, A. (2023). Editorial: Computational intelligence advances in educational robotics. Frontiers in Robotics and Al, 10, Article 1150409. https://doi.org/10.3389/frobt.2023.1150409

Bers, M. U., Gonzalez-Gonzalez, C., & Armas–Torres, M. B. (2019). Coding as a playground: Promoting positive learning experiences in childhood classrooms. Computers & Education, 138, 130–145. https://doi.org/10.1016/j.compedu.2019.04.013

Budiyanto, C. W., Fenyvesi, K., Lathifah, A., & Yuana, R. A. (2022). Computational thinking development: Benefiting from educational robotics in STEM teaching. European Journal of Educational Research, 11(4), 1997-2012. https://doi.org/10.12973/eu-jer.11.4.1997

Caballero-Gonzalez, Y. A., & Garcia-Valcarcel, A. (2020). Aprender con robotica en Educacion Primaria? Un medio de estimular el pensamiento computacional [Learning with robotics in primary education? A means of stimulating computational thinking]. Education in the Knowledge Society, 21, Article 10. https://doi.org/10.14201/eks.21443

Caballero-Gonzalez, Y. -A., & Munoz-Repiso, A. G. -V. (2020). Fortaleciendo el pensamiento computacional y habilidades sociales mediante actividades de aprendizaje con robotica educativa en niveles escolares iniciales [Strengthening computational thinking and social skills through learning activities with educational robotics in early school level]. Pixel-Bit, Revista de Medios y Educacion, (58), 117-142. https://doi.org/10.12795/pixelbit.75059

Campos, V. M., & Munoz, F. J. R. (2023). Design and piloting of a proposal for intervention with educational robotics for the development of lexical relationships in early childhood education. Smart Learning Environments, 10, Article 6. https://doi.org/10.1186/s40561-023-00226-0

Castro, A., Medina, J., Aguilera, C. A., Ramirez, M., & Aguilera, C. (2022). Robotics education in STEM units: Breaking down barriers in rural multigrade schools. Sensors, 23(1), Article 387. https://doi.org/10.3390/s23010387

Cervera, N., Diago, P. D., Orcos, L., & Yanez, D. F. (2020). The acquisition of computational thinking through mentoring: An exploratory study. Education Sciences, 10(8), Article 202. https://doi.org/10.3390/educsci10080202

Chaka, C. (2023). Fourth industrial revolution—a review of applications, prospects, and challenges for artificial intelligence, robotics and blockchain in higher education. Research and Practice in Technology Enhanced Learning, 18, Article 002. https://doi.org/10.58459/rptel.2023.18002

Chalmers, C. (2018). Robotics and computational thinking in primary school. International Journal of Child-Computer Interaction, 17, 93–100. https://doi.org/10.1016/j.ijcci.2018.06.005

Chalmers, C., Keane, T., Boden, M., & Williams, M. (2022). Humanoid robots go to school. Education and Information Technologies, 27, 7563–7581. https://doi.org/10.1007/s10639-022-10913-z

Chevalier, M., Giang, C., Piatti, A., & Mondada, F. (2020). Fostering computational thinking through educational robotics: A model for creative computational problem solving. International Journal of STEM Education, 7, Article 39. https://doi.org/10.1186/s40594-020-00238-z

Chiazzese, G., Arrigo, M., Chifari, A., Lonati, V., & Tosto, C. (2019). Educational robotics in primary school: Measuring the development of computational thinking skills with the Bebras tasks. Informatics, 6(4), Article 43. https://doi.org/10.3390/informatics6040043

Chou, P. N. (2018). Skill development and knowledge acquisition cultivated by maker education: Evidence from arduino-based educational robotics. EURASIA Journal of Mathematics, Science and Technology Education, 14(10), Article em1600. https://doi.org/10.29333/ejmste/93483

Corcoran, E., Gabrielli, J., Wisniewski, P., Little, T. D., & Doty, J. (2022). A measurement model of media parenting: Differences across parent and child reports and youth age and sex. Journal of Psychopathology and Behavioral Assessment, 44, 898–912. https://doi.org/10.1007/s10862-022-09962-y

Darmawansah, D., Hwang, G. -J., Chen, M. -R. A., & Liang, J. -C. (2023). Trends and research foci of robotics-based STEM education: A systematic review from diverse angles based on the technology-based learning model. International Journal of STEM Education, 10, Article 12. https://doi.org/10.1186/s40594-023-00400-3

Deepa, V., Sujatha, R., & Mohan, J. (2022). Unsung voices of technology in school education-findings using the constructivist grounded theory approach. Smart Learning Environments, 9, Article 1. https://doi.org/10.1186/s40561-021-00182-7

Diago, P. D., Gonzalez-Calero, J. A., & Yanez, D. F. (2022). Exploring the development of mental rotation and computational skills in elementary students through educational robotics. International Journal of Child-Computer Interaction, 32, Article 100388. https://doi.org/10.1016/j.ijcci.2021.100388

Fortunati, L., Manganelli, A. M., & Ferrin, G. (2022). Arts and crafts robots or LEGO® MINDSTORMS robots? A comparative study in educational robotics. International Journal of Technology and Design Education, 32, 287–310. https://doi.org/10.1007/s10798-020-09609-7

Hanus, M. D., & Fox, J. (2015). Assessing the effects of gamification in the classroom: A longitudinal study on intrinsic motivation, social comparison, satisfaction, effort, and academic performance. Computers & Education, 80, 152–161. https://doi.org/10.1016/j.compedu.2014.08.019

Heyward, J., Mansour, O., Olson, L., Singh, S., & Alexander, G. C. (2020). Association between sodium-glucose cotransporter 2 (SGLT2) inhibitors and lower extremity amputation: A systematic review and meta-analysis. PLOS ONE, 15(6), Article e0234065. https://doi.org/10.1371/journal.pone.0234065

Higgins, J. P. T., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21(11), 1539–1558. https://doi.org/10.1002/sim.1186

Hsiao, H. -S., Lin, Y. -W., Lin, K. -Y., Lin, C. -Y., Chen, J. -H., & Chen, J. -C. (2022). Using robot-based practices to develop an activity that incorporated the 6E model to improve elementary school students’ learning performances. Interactive Learning Environments, 30(1), 85–99. https://doi.org/10.1080/10494820.2019.1636090

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

Jung, S. E., & Won, E. -S. (2018). Systematic review of research trends in robotics education for young children. Sustainability, 10(4), Article 905. https://doi.org/10.3390/su10040905

Kazakoff, E. R., Sullivan, A., & Bers, M. U. (2013). The effect of a classroom-based intensive robotics and programming workshop on sequencing ability in early childhood. Early Childhood Education Journal, 41, 245–255. https://doi.org/10.1007/s10643-012-0554-5

Kert, S. B., Erkoc, M. F., & Yeni, S. (2020). The effect of robotics on six graders’ academic achievement, computational thinking skills and conceptual knowledge levels. Thinking Skills and Creativity, 38, Article 100714. https://doi.org/10.1016/j.tsc.2020.100714

Kim, S., & Lee, C. (2016). Effects of robot for teaching geometry to fourth graders. International Journal of Innovation in Science and Mathematics Education, 24(2), 52-70. https://bit.ly/3p6L8VH

Kubilinskiene, S., Zilinskiene, I., Dagiene, V., & Sinkevicius, V. (2017). Applying robotics in school education: A systematic review. Baltic Journal of Modern Computing, 5(1), 50–69. https://doi.org/10.22364/bjmc.2017.5.1.04

La Paglia, F., Francomano, M. M., Giuseppe, R., & La Barbera, D. (2018). Educational robotics to develop executive functions, visual spatial abilities, planning, and problem solving. Annual Review of CyberTherapy and Telemedicine, 16, 80-86. http://hdl.handle.net/10807/148018

Li, L. (2022). Reskilling and upskilling the future-ready workforce for Industry 4.0 and beyond. Information Systems Frontiers. Advance online publication. https://doi.org/10.1007/s10796-022-10308-y

Li, Y., Huang, Z., Jiang, M., & Chang, T.-W. (2016). The effect on pupils’ science performance and problem-solving ability through LEGO: An engineering design-based modeling approach. Educational Technology & Society, 19(3), 143–156. https://www.jstor.org/stable/jeductechsoci.19.3.143

Lindsay, S., Hounsell, K. G., & Cassiani, C. (2017). A scoping review of the role of LEGO® therapy for improving inclusion and social skills among children and youth with autism. Disability and Health Journal, 10(2), 173–182. https://doi.org/10.1016/j.dhjo.2016.10.010

Lopez-Belmonte, J., Segura-Robles, A., Moreno-Guerrero, A. -J., & Parra-Gonzalez, M. -E. (2021). Robotics in education: A scientific mapping of the literature in Web of Science. Electronics, 10(3), Article 291. https://doi.org/10.3390/electronics10030291

Lupion-Cobos, T., Giron-Gambero, J., & Garcia-Ruiz, C. (2022). Building STEM inquiry-based teaching proposal through collaborations between schools and research centres: Students’ and teachers’ perceptions. European Journal of Educational Research, 11(2), 899-915. https://doi.org/10.12973/eu-jer.11.2.899

Madariaga, L., Allendes, C., Nussbaum, M., Barrios, G., & Acevedo, N. (2023). Offline and online user experience of gamified robotics for introducing computational thinking: Comparing engagement, game mechanics and coding motivation. Computers & Education, 193, Article 104664. https://doi.org/10.1016/j.compedu.2022.104664

Malinverni, L., Valero, C., Schaper, M. M., & De La Cruz, I. G. (2021). Educational robotics as a boundary object: Towards a research agenda. International Journal of Child-Computer Interaction, 29, Article 100305. https://doi.org/10.1016/j.ijcci.2021.100305

Marks‐Anglin, A., & Chen, Y. (2020). A historical review of publication bias. Research Synthesis Methods, 11(6), 725–742. https://doi.org/10.1002/jrsm.1452

Marouani, H. (2022). Exploration of applying Lego NXT and Arduino in situated engineering teaching: A case study of a robotics contest at King Saud University. International Journal of Robotics and Control Systems, 2(1), 67–78. https://doi.org/10.31763/ijrcs.v2i1.508

Narzisi, A., Sesso, G., Berloffa, S., Fantozzi, P., Muccio, R., Valente, E., Viglione, V., Villafranca, A., Milone, A., & Masi, G. (2021). Could you give me the blue brick? LEGO®-based therapy as a social development program for children with autism spectrum disorder: A systematic review. Brain Sciences, 11(6), Article 702. https://doi.org/10.3390/brainsci11060702

Peterson, S. J., & Foley, S. (2021). Clinician’s guide to understanding effect size, alpha level, power, and sample size. Nutrition in Clinical Practice, 36(3), 598–605. https://doi.org/10.1002/ncp.10674

Rasmitadila, R., Aliyyah, R. R., Rachmadtullah, R., Samsudin, A., Syaodih, E., Nurtanto, M., & Tambunan, A. R. S. (2020). The perceptions of primary school teachers of online learning during the COVID-19 pandemic period: A case study in Indonesia. Journal of Ethnic and Cultural Studies, 7(2), 90–109. https://doi.org/10.29333/ejecs/388

Saez Lopez, J. M., Buceta Otero, R., & De Lara Garcia-Cervigon, S. (2021). La aplicación de la robotica y programacion por bloques en la ensenanza elemental [Introducing robotics and block programming in elementary education]. RIED. Revista Iberoamericana De Educacion a Distancia, 24(1), 95-113. https://doi.org/10.5944/ried.24.1.27649

Saez-Lopez, J. -M., Sevillano-Garcia, M. -L., & Vazquez-Cano, E. (2019). The effect of programming on primary school students’ mathematical and scientific understanding: Educational use of mBot. Educational Technology Research and Development, 67, 1405–1425. https://doi.org/10.1007/s11423-019-09648-5

Sapounidis, T., Tselegkaridis, S., & Stamovlasis, D. (2023). Educational robotics and STEM in primary education: A review and a meta-analysis. Journal of Research on Technology in Education. Advance online publication. https://doi.org/10.1080/15391523.2022.2160394

Singh, D. K., Kumar, M., Fosch-Villaronga, E., Singh, D., & Shukla, J. (2022). Ethical considerations from child-robot interactions in under-resourced communities. International Journal of Social Robotics. Advance online publication. https://doi.org/10.1007/s12369-022-00882-1

Sothivannan, A., Eshtiaghi, A., Dhoot, A. S., Popovic, M. M., Garg, S. J., Kertes, P. J., & Muni, R. H. (2022). Impact of the time to surgery on visual outcomes for rhegmatogenous retinal detachment repair: A meta-analysis. American Journal of Ophthalmology, 244, 19–29. https://doi.org/10.1016/j.ajo.2022.07.022

Souza, I. M. L., Andrade, W. L., & Sampaio, L. M. R. (2022). Educational robotics applications for the development of computational thinking in a Brazilian technical and vocational high school. Informatics in Education, 21(1), 147–177. https://doi.org/10.15388/infedu.2022.06

Stein, G., Jean, D., Brady, C., & Ledeczi, AK. (2023). Browser-based simulation for novice-friendly classroom robotics. Frontiers in Computer Science, 4. Advance online publication. https://doi.org/10.3389/fcomp.2022.1031572

Suurmond, R., van Rhee, H., & Hak, T. (2017). Introduction, comparison, and validation of Meta-Essentials: A free and simple tool for meta-analysis. Research Synthesis Methods, 8(4), 537-553. https://doi.org/10.1002/jrsm.1260

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. https://bit.ly/3JKCPGK

Tselegkaridis, S., & Sapounidis, T. (2022). Exploring the features of educational robotics and STEM research in primary education: A systematic literature review. Education Sciences, 12(5), Article 305. https://doi.org/10.3390/educsci12050305

Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. https://doi.org/10.18637/jss.v036.i03

Wallace, B. C., Dahabreh, I. J., Trikalinos, T. A., Lau, J., Trow, P., & Schmid, C. H. (2012). Closing the gap between methodologists and end-users: R as a computational back-end. Journal of Statistical Software, 49(5), 1–15. https://doi.org/10.18637/jss.v049.i05

Wang, L. -H., Chen, B., Hwang, G. -J., Guan, J. -Q., & Wang, Y. -Q. (2022). Effects of digital game-based STEM education on students’ learning achievement: A meta-analysis. International Journal of STEM Education, 9, Article 26. https://doi.org/10.1186/s40594-022-00344-0

Yu, J., & Roque, R. (2019). A review of computational toys and kits for young children. International Journal of Child-Computer Interaction, 21, 17–36. https://doi.org/10.1016/j.ijcci.2019.04.001

Yu, X., Gutierrez-Garcia, M. A., & Soto-Varela, R. (2023). Are educational robots any good for communicative English learning for primary school students? Texto Livre, 16, Article e41469. https://doi.org/10.1590/1983-3652.2023.41469

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

Zhang, Y., & Zhu, Y. (2022). Effects of educational robotics on the creativity and problem-solving skills of K-12 students: A meta-analysis. Educational Studies. Advance online publication. https://doi.org/10.1080/03055698.2022.2107873

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