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Review Article

Roles, applications, and research designs of robots in science education: a systematic review and bibliometric analysis of journal publications from 1996 to 2020

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Received 24 Sep 2021, Accepted 23 Sep 2022, Published online: 22 Oct 2022

References

  • 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), 2. https://doi.org/10.7771/2157-9288.1223
  • Arici, F., Yildirim, P., Caliklar, S., & Yilmaz, R. M. (2019). Research trends in the use of augmented reality in science education: Content and bibliometric mapping analysis. Computers & Education, 142, 103647. https://doi.org/10.1016/j.compedu.2019.103647
  • Atman Uslu, N., Yavuz, GÖ, & Koçak Usluel, Y. (2022). A systematic review study on educational robotics and robots. Interactive Learning Environments, 1–25. https://doi.org/10.1080/10494820.2021.2023890
  • Avsec, S., Rihtarsic, D., & Kocijancic, S. (2014). A predictive study of learner attitudes toward open learning in a robotics class. Journal of Science Education and Technology, 23(5), 692–704. https://doi.org/10.1007/s10956-014-9496-6
  • Ayar, M. C. (2015). First-hand experience with engineering design and career interest in engineering: An informal STEM education case study. Educational Sciences: Theory & Practice, 15(6), 1655–1675. https://doi.org/10.12738/estp.2015.6.0134
  • Barak, M., & Assal, M. (2018). Robotics and STEM learning: Students’ achievements in assignments according to the P3 task taxonomy—practice, problem solving, and projects. International Journal of Technology and Design Education, 28(1), 121–144. https://doi.org/10.1007/s10798-016-9385-9
  • Barker, B. S., Nugent, G., & Grandgenett, N. F. (2014). Examining fidelity of program implementation in a STEM-oriented out-of-school setting. International Journal of Technology and Design Education, 24(1), 39–52. https://doi.org/10.1007/s10798-013-9245-9
  • Belpaeme, T., Kennedy, J., & Ramachandran, A. (2018). Social robots for education: A review. Science Robotics, 3(21), 1–9. https://doi.org/10.1126/scirobotics.aat5954
  • Benitti, F. B. V. (2012). Exploring the educational potential of robotics in schools: A systematic review. Computers & Education, 58(3), 978–988. https://doi.org/10.1016/j.compedu.2011.10.006
  • Castro, E., Cecchi, F., Valente, M., Buselli, E., Salvini, P., & Dario, P. (2018). Can educational robotics introduce young children to robotics and how can we measure it? Journal of Computer Assisted Learning, 34(6), 970–977. https://doi.org/10.1111/jcal.12304
  • Chambers, J. M., Carbonaro, M., & Murray, H. (2008). Developing conceptual understanding of mechanical advantage through the use of Lego robotic technology. Australasian Journal of Educational Technology, 24(4), 387–401. https://doi.org/10.14742/ajet.1199
  • Chang, C. C., & Chen, Y. C. (2020a). Cognition, attitude, and interest in cross-disciplinary i-STEM robotics curriculum developed by thematic integration approaches of webbed and threaded models: A concurrent embedded mixed methods study. Journal of Science Education and Technology, 29(5), 622–634. https://doi.org/10.1007/s10956-020-09841-9
  • Chang, C. C., & Chen, Y. C. (2020b). Using mastery learning theory to develop task-centered hands-on STEM learning of arduino-based educational robotics: Psychomotor performance and perception by a convergent parallel mixed method. Interactive Learning Environments, 30(1), 1677–1692. https://doi.org/10.1080/10494820.2020.1741400
  • Chapman, A., Rodriguez, F. D., Pena, C., Hinojosa, E., Morales, L., Del Bosque, V., Tijerina, Y., & Tarawneh, C. (2020). “Nothing is impossible”: Characteristics of Hispanic females participating in an informal STEM setting. Cultural Studies of Science Education, 15(3), 723–737. https://doi.org/10.1007/s11422-019-09947-6
  • Chen, C. H., Yang, C. K., Huang, K., & Yao, K. C. (2020). Augmented reality and competition in robotics education: Effects on 21st century competencies, group collaboration and learning motivation. Journal of Computer Assisted Learning, 36(6), 1052–1062. https://doi.org/10.1111/jcal.12469
  • Chen, C. K., Huang, N. T. N., & Hwang, G. J. (2019). Findings and implications of flipped science learning research: A review of journal publications. Interactive Learning Environments, 30(5), 949–966. https://doi.org/10.1080/10494820.2019.1690528
  • Chiang, F. K., Liu, Y. Q., Feng, X. R., Zhuang, Y. X., & Sun, Y. L. (2020). Effects of the world robot Olympiad on the students who participate: A qualitative study. Interactive Learning Environments, 1–12. https://doi.org/10.1080/10494820.2020.1775097
  • Cox, A. M. (2021). Exploring the impact of artificial intelligence and robots on higher education through literature-based design fictions. International Journal of Educational Technology in Higher Education, 18(1), 1–19. https://doi.org/10.1186/s41239-020-00237-8
  • El-Hamamsy, L., Chessel-Lazzarotto, F., Bruno, B., Roy, D., Cahlikova, T., Chevalier, M., Parriaux, G., Pellet, J.-P., Lanarès, J., Zufferey, J. D., & Mondada, F. (2020). A computer science and robotics integration model for primary school: Evaluation of a large-scale in-service k-4 teacher-training program. Education and Information Technologies, 26(3), 2445–2475. https://doi.org/10.1007/s10639-020-10355-5
  • Elliott, C. H. (2020). “Run it through me:” Positioning, power, and learning on a high school robotics team. Journal of the Learning Sciences, 29(4-5), 598–641. https://doi.org/10.1080/10508406.2020.1770763
  • Gomoll, A., Hmelo-Silver, C. E., Šabanović, S., & Francisco, M. (2016). Dragons, ladybugs, and softballs: Girls’ STEM engagement with human-centered robotics. Journal of Science Education and Technology, 25(6), 899–914. https://doi.org/10.1007/s10956-016-9647-z
  • Gomoll, A., Sabanovic, S., Tolar, E., Hmelo-Silver, C. E., Francisco, M., & Lawlor, O. (2018). Between the social and the technical: Negotiation of human-centered robotics design in a middle school classroom. International Journal of Social Robotics, 10(3), 309–324. https://doi.org/10.1007/s12369-017-0454-3
  • Guo, L., Xu, F., Feng, Z., & Zhang, G. (2016). A bibliometric analysis of oyster research from 1991 to 2014. Aquaculture International, 24(1), 327–344. https://doi.org/10.1007/s10499-015-9928-1
  • Guven, G., Cakir, N. K., Sulun, Y., Cetin, G., & Guven, E. (2020). Arduino-assisted robotics coding applications integrated into the 5E learning model in science teaching. Journal of Research on Technology in Education, 54(1), 108–126. https://doi.org/10.1080/15391523.2020.1812136
  • Howell, R., Martz, S., & Stanger, C. (1996). Classroom applications of educational robots for inclusive teams of students with and without disabilities. Technology and Disability, 5(2), 139–150. https://doi.org/10.3233/TAD-1996-5203
  • Hwang, G. J., & Tsai, C. C. (2011). Research trends in mobile and ubiquitous learning: A review of publications in selected journals from 2001 to 2010. British Journal of Educational Technology, 42(4), E65–E70. https://doi.org/10.1111/j.1467-8535.2011.01183.x
  • Jackson, A., Mentzer, N., & Kramer-Bottiglio, R. (2019). Pilot analysis of the impacts of soft robotics design on high-school student engineering perceptions. International Journal of Technology and Design Education, 29(5), 1083–1104. https://doi.org/10.1007/s10798-018-9478-8
  • 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, B., & Christensen, L. (2000). Educational research: Quantitative and qualitative approaches. Allen and Bacon.
  • Johnson, C. C., Peters-Burton, E. E., & Moore, T. J. (Eds.). (2015). STEM road map: A framework for integrated STEM education. Routledge.
  • Kim, C., Yuan, J. M., Vasconcelos, L., Shin, M., & Hill, R. B. (2018). Debugging during block-based programming. Instructional Science, 46(4), 767–787. https://doi.org/10.1007/s11251-018-9453-5
  • Kim, C. M., Kim, D., Yuan, J. M., Hill, R. B., Doshi, P., & Thai, C. N. (2015). Robotics to promote elementary education pre-service teachers’ STEM engagement, learning, and teaching. Computers & Education, 91, 14–31. https://doi.org/10.1016/j.compedu.2015.08.005
  • Konijn, E. A., & Hoorn, J. F. (2020). Robot tutor and pupils’ educational ability: Teaching the times tables. Computers & Education, 157, 103970. https://doi.org/10.1016/j.compedu.2020.103970
  • Lai, C. L. (2020). Trends of mobile learning: A review of the top 100 highly cited papers. British Journal of Educational Technology, 51(3), 721–742. https://doi.org/10.1111/bjet.12884
  • Lamptey, D. L., Cagliostro, E., Srikanthan, D., Hong, S., Dief, S., & Lindsay, S. (2019). Assessing the impact of an adapted robotics programme on interest in science, technology, engineering and mathematics (STEM) among children with disabilities. International Journal of Disability, Development and Education, 68(1), 62–77. https://doi.org/10.1080/1034912X.2019.1650902
  • Leonard, J., Buss, A., Gamboa, R., Mitchell, M., Fashola, O. S., Hubert, T., & Almughyirah, S. (2016). Using robotics and game design to enhance children’s self-efficacy, STEM attitudes, and computational thinking skills. Journal of Science Education and Technology, 25(6), 860–876. https://doi.org/10.1007/s10956-016-9628-2
  • Leonard, J., Mitchell, M., Barnes-Johnson, J., Unertl, A., Outka-Hill, J., Robinson, R., & Hester-Croff, C. (2018). Preparing teachers to engage rural students in computational thinking through robotics, game design, and culturally responsive teaching. Journal of Teacher Education, 69(4), 386–407. https://doi.org/10.1177/0022487117732317
  • Li, Y., Wang, K., Xiao, Y., & Froyd, J. E. (2020). Research and trends in STEM education: A systematic review of journal publications. International Journal of STEM Education, 7(1), 1–16. https://doi.org/10.1186/s40594-020-00207-6
  • Lin, H. C., & Hwang, G. J. (2019). Research trends of flipped classroom studies for medical courses: A review of journal publications from 2008 to 2017 based on the technology-enhanced learning model. Interactive Learning Environments, 27(8), 1011–1027. https://doi.org/10.1080/10494820.2018.1467462
  • Lindsay, S. (2020). Exploring skills gained through a robotics program for youth with disabilities. OTJR: Occupation, Participation and Health, 40(1), 57–63. https://doi.org/10.1177/1539449219868276
  • Luo, F. Y., Antonenko, P. D., & Davis, E. C. (2020). Exploring the evolution of two girls’ conceptions and practices in computational thinking in science. Computers & Education, 146, 103759. https://doi.org/10.1016/j.compedu.2019.103759
  • Mariappan, M., Sing, J. C., & Nadarajan, M. (2015). A design methodology of programmable tangible blocks for early childhood educational robotic system. Journal of Applied Sciences Research, 11(20), 17–25. https://reurl.cc/8WOlM4
  • Master, A., Cheryan, S., Moscatelli, A., & Meltzoff, A. N. (2017). Programming experience promotes higher STEM motivation among first-grade girls. Journal of Experimental Child Psychology, 160, 92–106. https://doi.org/10.1016/j.jecp.2017.03.013
  • McDonald, S., & Howell, J. (2012). Watching, creating and achieving: Creative technologies as a conduit for learning in the early years. British Journal of Educational Technology, 43(4), 641–651. https://doi.org/10.1111/j.1467-8535.2011.01231.x
  • Merkouris, A., Chorianopoulou, B., Chorianopoulos, K., & Chrissikopoulos, V. (2019). Understanding the notion of friction through gestural interaction with a remotely controlled robot. Journal of Science Education and Technology, 28(3), 209–221. https://doi.org/10.1007/s10956-018-9760-2
  • Miglino, O., Gigliotta, O., Ponticorvo, M., & Nolfi, S. (2008). Breedbot: An evolutionary robotics application in digital content. The Electronic Library, 26(3), 363–373. https://doi.org/10.1108/02640470810879509
  • Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Prisma Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
  • Newton, K. J., Leonard, J., Buss, A., Wright, C. G., & Barnes-Johnson, J. (2020). Informal STEM: Learning with robotics and game design in an urban context. Journal of Research on Technology in Education, 52(2), 129–147. https://doi.org/10.1080/15391523.2020.1713263
  • Perez, E. S., & Lopez, F. J. (2019). An ultra-low cost line follower robot as educational tool for teaching programming and circuit’s foundations. Computer Applications in Engineering Education, 27(2), 288–302. https://doi.org/10.1002/cae.22074
  • Phamduy, P., DeBellis, M., & Porfiri, M. (2015). Controlling a robotic fish via a natural user interface for informal science education. IEEE Transactions on Multimedia, 17(12), 2328–2337. https://doi.org/10.1109/TMM.2015.2480226
  • Phamduy, P., Leou, M., Milne, C., & Porfiri, M. (2017). An interactive robotic fish exhibit for designed settings in informal science learning. IEEE Transactions on Education, 60(4), 273–280. https://doi.org/10.1109/TE.2017.2695173
  • Ponce, P., Molina, A., Hernández, L., Acha, E., Morales, B., & Huitron, C. (2017). Teaching math in elementary schools by LabVIEW and LEGO robots. Lecture Notes in Networks and Systems, 13, 255–270. https://doi.org/10.1007/978-3-319-54377-2_22
  • Rursch, J. A., Luse, A., & Jacobson, D. (2010). It-adventures: A program to spark it interest in high school students using inquiry-based learning with cyber defense, game design, and robotics. IEEE Transactions on Education, 53(1), 71–79. https://doi.org/10.1109/TE.2009.2024080
  • 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. https://doi.org/10.1111/bjet.12984
  • Sapounidis, T., Stamovlasis, D., & Demetriadis, S. (2019). Latent class modeling of children’s preference profiles on tangible and graphical robot programming. IEEE Transactions on Education, 62(2), 127–133. https://doi.org/10.1109/TE.2018.2876363
  • Štuikys, V., Burbaite, R., Bespalova, K., & Ziberkas, G. (2016). Model-driven processes and tools to design robot-based generative learning objects for computer science education. Science of Computer Programming, 129, 48–71. https://doi.org/10.1016/j.scico.2016.03.009
  • Sullivan, A., & Bers, M. U. (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. https://doi.org/10.1007/s10798-015-9304-5
  • Sullivan, A., & Bers, M. U. (2019). Investigating the use of robotics to increase girls’ interest in engineering during early elementary school. International Journal of Technology and Design Education, 29(5), 1033–1051. https://doi.org/10.1007/s10798-018-9483-y
  • Sullivan, F. R. (2011). Serious and playful inquiry: Epistemological aspects of collaborative creativity. Educational Technology & Society, 14(1), 55–65. https://www.jstor.org/stable/10.2307jeductechsoci.14.1.55
  • Taylor, K., & Baek, Y. (2019). Grouping matters in computational robotic activities. Computers in Human Behavior, 93, 99–105. https://doi.org/10.1016/j.chb.2018.12.010
  • Tu, Y. F., & Hwang, G. J. (2020). Trends and research issues of mobile learning studies in hospitality, leisure, sport and tourism education: A review of academic publications from 2002 to 2017. Interactive Learning Environments, 28(4), 385–403. https://doi.org/10.1080/10494820.2018.1528285
  • Ucgul, M., & Cagiltay, K. (2014). Design and development issues for educational robotics training camps. International Journal of Technology and Design Education, 24(2), 203–222. https://doi.org/10.1007/s10798-013-9253-9
  • Wright, J. C., Knight, V. F., Barton, E. E., & Edwards-Bowyer, M. (2019). Video prompting to teach robotics and coding to middle school students with autism spectrum disorder. Journal of Special Education Technology, 36(4), 187–201. https://doi.org/10.1177/0162643419890249
  • Xia, L., & Zhong, B. (2018). A systematic review on teaching and learning robotics content knowledge in K-12. Computers & Education, 127, 267–282. https://doi.org/10.1016/j.compedu.2018.09.007
  • Zheng, P., Liang, X., Huang, G., & Liu, X. (2016). Mapping the field of communication technology research in Asia: Content analysis and text mining of SSCI journal articles 1995–2014. Asian Journal of Communication, 26(6), 511–531. https://doi.org/10.1080/01292986.2016.1231210
  • Zhong, B., & Xia, L. (2020). A systematic review on exploring the potential of educational robotics in mathematics education. International Journal of Science and Mathematics Education, 18(1), 79–101. https://doi.org/10.1007/s10763-018-09939-y

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