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Review Article

Effectiveness of social robots as a tutoring and learning companion: a bibliometric analysis

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Article: 2299075 | Received 22 Dec 2021, Accepted 21 Dec 2023, Published online: 01 Feb 2024

References

  • Backfisch, I., Lachner, A., Stürmer, K., & Scheiter, K. (2021). Variability of teachers’ technology integration in the classroom: A matter of utility!. Computers & Education, 166, 1. https://doi.org/10.1016/j.compedu.2021.104159
  • Baxter, P., Ashurst, E., Kennedy, J., Senft, E., Lemaignan, S., & Belpaeme, T. (2015). The wider supportive role of social robots in the classroom for teachers [Paper presentation]. 1st International Workshop on Educational Robotics at the Int. Conf. Social Robotics, pp. 1–17.
  • Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., & Tanaka, F. (2018). Social robots for Education: A review. Science Robotics, 3(21), eaat5954. https://doi.org/10.1126/scirobotics.aat5954
  • Beran, T. N., Ramirez-Serrano, A., Kuzyk, R., Fior, M., & Nugent, S. (2011). Understanding how children understand robots: Perceived animism in child–robot interaction. International Journal of Human-Computer Studies, 69(7–8), 539–550. https://doi.org/10.1016/j.ijhcs.2011.04.003
  • Burda, Y. D., Volkova, I. O., & Gavrikova, E. V. (2020). Meaningful analysis of innovation, business and entrepreneurial ecosystem concepts. Russian Management Journal, 18(1), 73–102. https://doi.org/10.21638/spbu18.2020.104
  • Collins, A., & Halverson, R. (2010). The second educational revolution: Rethinking education in the age of technology. Journal of Computer Assisted Learning, 26(1), 18–27. https://doi.org/10.1111/j.1365-2729.2009.00339.x
  • Ekström, S., & Pareto, L. (2022). The dual role of humanoid robots in education: As didactic tools and social actors. Education and Information Technologies, 27(9), 12609–12644. https://doi.org/10.1007/s10639-022-11132-2
  • Gittings, J. (2020). Alex J. Bellamy. World Peace (And How We Can Achieve It). Oxford: Oxford University Press, 2019. Peace & Change, 45(4), 619–621. https://doi.org/10.1111/pech.12431
  • Kandlhofer, M., & Steinbauer, G. (2016). Evaluating the impact of educational robotics on pupils’ technical- and social-skills and science related attitudes. Robotics and Autonomous Systems, 75, 679–685. https://doi.org/10.1016/j.robot.2015.09.007
  • Kennedy, J., Baxter, P., Senft, E., & Belpaeme, T. (2016, April). Heart vs hard drive: Children learn more from a human tutor than a social robot [Paper presentation]. 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 451–452. https://doi.org/10.1109/HRI.2016.7451801
  • Lin, J., Li, Y., & Yang, G. (2021). FPGAN: Face deidentification method with generative adversarial networks for social robots. Neural Networks: The Official Journal of the International Neural Network Society, 133, 132–147. https://doi.org/10.1016/j.neunet.2020.09.001
  • Lorenzo, G., Lledó, A., Pérez-Vázquez, E., & Lorenzo-Lledó, A. (2021). Action protocol for the use of robotics in students with autism spectrum disorders: A systematic-review. Education and Information Technologies, 26(4), 4111–4126. https://doi.org/10.1007/s10639-021-10464-9
  • Lu, J., Ren, H., Guo, S., Gu, D., Wen, H., Qin, Y., Zhou, S., Hu, W., & Jiang, C. (2014). Ultra-wideband optical diode based on photonic crystal 90° bend and directional coupler. Chinese Optics Letters, 12(10), 102301–102304. https://doi.org/10.3788/col201412.102301
  • Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. El Profesional de la Información, 29(1). https://doi.org/10.3145/epi.2020.ene.03
  • Mubin, O., Stevens, C. J., Shahid, S., Mahmud, A. A., & Dong, J.-J. (2013). A review of the applicability of robots in education. Journal of Technology in Education and Learning, 1(209-0015), 13. https://doi.org/10.2316/Journal.209.2013.1.209-0015
  • Pachidis, T., Vrochidou, E., Kaburlasos, V. G., Kostova, S., Bonković, M., & Papić, V. (2019). Social robotics in education: State-of-the-art and directions. Mechanisms and Machine Science, 67, 689–700. https://doi.org/10.1007/978-3-030-00232-9_72
  • Ramírez, J., Górriz, J. M., Ortiz, A., Cole, J. H., & Dyrba, M. (2020). Editorial: Deep learning in aging neuroscience. Frontiers in Neuroinformatics, 14, 573974. Accessed 25 Apr. 2021. https://doi.org/10.3389/fninf.2020.573974
  • Reich-Stiebert, N., & Eyssel, F. (2015). Learning with educational companion robots? Toward attitudes on education robots, predictors of attitudes, and application potentials for education robots. International Journal of Social Robotics, 7(5), 875–888. https://doi.org/10.1007/s12369-015-0308-9
  • Reich-Stiebert, N., Eyssel, F., & Hohnemann, C. (2019). Exploring university students’ preferences for educational robot design by means of a user-centered design approach. International Journal of Social Robotics, 12(1), 227–237. https://doi.org/10.1007/s12369-019-00554-7
  • Riva, G., & Riva, E. (2019). GOAL-ROBOTS: Goal-based open-ended autonomous learning robots. Cyberpsychology, Behavior and Social Networking, 22(9), 615–616. https://doi.org/10.1089/cyber.2019.29162.ceu
  • Saerbeck, M., Schut, T., Bartneck, C., & Janse, M. D. (2010). Expressive robots in education: Varying the degree of social supportive behavior of a robotic tutor. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1613–1622). https://doi.org/10.1145/1753326.1753567
  • Sailer, M., Schultz-Pernice, F., & Fischer, F. (2021). Contextual facilitators for learning activities involving technology in higher education: The C♭-model. Computers in Human Behavior, 121(4), 106794. https://doi.org/10.1016/j.chb.2021.106794
  • Share, P., & Pender, J. (2018). Preparing for a robot future? Social professions, social robotics and the challenges ahead. Irish Journal of Applied Social Studies, 18(1), 4. https://doi.org/10.21427/D7472M
  • Smakman, M. H. J., Konijn, E. A., Vogt, P., & Pankowska, P. (2021). Attitudes toward social robots in education: Enthusiast, practical, troubled, sceptic, and mindfully positive. Robotics, 10(1), 24. https://doi.org/10.3390/robotics10010024
  • Smakman, M., Vogt, P., & Konijn, E. A. (2021). Moral considerations on social robots in education: A multistakeholder perspective. Computers & Education, 174, 104317. https://doi.org/10.1016/j.compedu.2021.104317
  • Tang, X., & Chu, J. (2022). Inclusive design: Task specified robots for elderly. Advances in Education, Humanities and Social Science Research, 1(1), 82. https://doi.org/10.56028/aehssr.1.1.82
  • Teräs, M., Suoranta, J., Teräs, H., & Curcher, M. (2020). Post-Covid-19 education and education technology ‘solutionism’: A seller’s market. Postdigital Science and Education, 2(3), 863–878. https://doi.org/10.1007/s42438-020-00164-x
  • Tolksdorf, N. F., Viertel, F. E., & Rohlfing, K. J. (2021). Do shy preschoolers interact differently when learning language with a social robot? An analysis of interactional behavior and word learning. Frontiers in Robotics and AI, 8, 676123. https://doi.org/10.3389/frobt.2021.676123
  • Van Eck, N. J., & Waltman, L. (2019). Accuracy of citation data in Web of Science and Scopus. Proceedings of the 16th International Conference of the International Society for Scientometrics and Informetrics, 17 June 2019, pp. 1087–1092, arxiv.org/abs/1906.07011, https://doi.org/10.48550/arXiv.1906.07011. Accessed 14 May 2021.
  • Wainer, J., Dautenhahn, K., Robins, B., & Amirabdollahian, F. (2014). A pilot study with a novel setup for collaborative play of the humanoid robot KASPAR with children with autism. International Journal of Social Robotics, 6(1), 45–65. https://doi.org/10.1007/s12369-013-0195-x
  • Xie, H., Zhang, Y., Zeng, X., & He, Y. (2020). Sustainable land use and management research: A scientometric review. Landscape Ecology, 35(11), 2381–2411. https://doi.org/10.1007/s10980-020-01002-y