Abstract
In this paper, we propose the use of a robot platform for helping teachers and students in classrooms and at homes without degrading the academic achievement. We hypothesized that the robot can teach the same contents without degrading the academic achievement. In addition, it can improve the quality of teaching, mixing teaching with fun to attract students’ attention, repeat the contents without fatigue or anger and also providing pupils with special needs with the right contents in the right time. In this paper a 24 degrees of freedom (DOF) NAO robot is used for teaching an introduction to robotics to elementary school pupils. A GUI tool is designed to help teachers to easily upload slides of the subject’s contents. The robot presents the slides by reading it while generating random movements that resemble the body language of human presenters and teachers. The robot uses its camera to count the number of faces heading to it and use it as a measure of attention. When the number goes below a threshold number, the robot refreshes the classroom by automatically switching from teaching mode into entertainment mode where it dances, sings, tells a story, tells jokes, etc. in a manner that to attracts the attention of the pupils. In an experiment, pupils from stages 5 and 6 are divided into two groups; one group attended the same class content with the IT teacher and the second group attended with the robot. A questionnaire is designed to evaluate pupils’ knowledge before and after attending the class. Results showed that the robot could attract students and provide them with more deeply understanding of technical terms. As a future work, different subjects will be used and more experiments will be conducted.
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References
Chang, C.-W., Lee, J.-H., Wang, C.-Y., Chen, G.-D.: Improving the authentic learning experience by integrating robots into the mixed-reality environment. J. Comput. Educ. 55(4), 1572–1578 (2010)
Ryu, H.J., Kwak, S.S., Kim, M.S.: Design factors for robots as elementary school teaching assistants. J. Bull. Jpn. Soc. Sci. Des. 54(6), 39–48 (2008)
Goldstain, O.H., Ben-Gal, I.E., Bukchin, Y.: Evaluation of telerobotic interface components for teaching robot operation. IEEE Trans. Learn. Technol. 4(4), 365–376 (2011)
Belghith, K., Nkambou, R., Kabanza, F., Hartman, L.: An intelligent simulator for telerobotics training. IEEE Trans. Learn. Technol. 5(1), 11–19 (2012)
Nishimura, Y., Kushida, K., Dohi, H., Ishizuka, M., Takeuchi, J., Nakano, M., Tsujino, H.: Development of multimodal presentation markup language MPML-HR for humanoid robots and its psychological evaluation. J. Humanoid Robot. 4(1), 1–20 (2007)
Bretan, M., Cicconet, M., Nikolaidis, R., Weinberg, G.: Developing and composing for a robotic musician using different modes of interaction. In: Proceedings of the International Computer Music Conference (ICMC), pp. 498–503, Ljubljana, Slovenia (2012)
Han, J.-H., Jo, M., Park, S., Kim, S.: The educational use of home robots for children. In: Proceedings of IEEE Robot Human Interactive Communication, pp. 378–383 (2005)
Benitti, F.B.V.: Exploring the educational potential of robotics in schools: a systematic review. J. Comput. Educ. 58(3), 978–988 (2012)
Song, G., Yin, K., Zhou, Y., Cheng, X.: A surveillance robot with hopping capabilities for home security. IEEE Trans. Consum. Electron. 55(4), 2034–2039 (2009)
Murphy, R.R.: Human-robot interaction in rescue robotics. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 34(2), 138–153 (2004)
Wada, K., Shibata, T., Saito, T., Tanie, K.: Effects of robot-assisted activity for elderly people and nurses at a day service center. Proc. IEEE 92(11), 1780–1788 (2004)
Serio, A.D., Ibáñez, M.B., Kloos, C.D.: Impact of an augmented reality system on students’ motivation for a visual art course. J. Comput. Educ. 68, 586–596 (2013)
Cooper, M., Keating, D., Harwin, W., Dautenhahn, K.: Robots in the classroom-tools for accessible education. In: Proceedings of the 5th European Conference Advancement of Assistive Technology, pp. 448–452 (1999)
You, Z.-J., Shen, C.-Y., Chang, C.-W., Liu, B.-J.: A robot as a teaching assistant in an English class. In: Proceedings of the 6th International Conference of Advanced Learning Technologies, pp. 87–91 (2006)
Chang, C.-W., Lee, J.-H., Chao, P.-Y., Wang, C.-Y., Chen, G.-D.: Exploring the possibility of using humanoid robots as instructional tools for teaching a second language in primary school. J. Educ. Technol. Soc. 13(2), 13–24 (2010)
Lee, E.K., Lee, Y.J.: A pilot study of intelligent robot aided education. In: Proceedings of the 16th International Conference of Computer Education, pp. 595–596 (2008)
Natural-Language-Toolkit. Nltk 3.0 documentation. http://www.nltk.org/. Accessed 21 May 2016
Hameed, I.A.: Using natural language processing (NLP) for designing socially intelligent robots. In: 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Cergy-Pontoise, pp. 268–269 (2016)
Hameed I.A., Tan, Z.-H., Thomsen, N.B., Duan, X.: User acceptance of social robots. In: Proceedings of the Ninth International Conference on Advances in Computer-Human Interactions (ACHI 2016), Venice, Italy, pp. 274–279 (2016)
Aldebaran-Robotics: Who is NAO? (2016). https://www.aldebaran.com/en/cool-robots/nao. Accessed 21 May 2016
Han, J., Kim, D.: r-Learning services for elementary school students with a teaching assistant robot. In: 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI), La Jolla, CA, pp. 255–256 (2009)
Python Speech recognition 3.4.3. https://pypi.python.org/pypi/SpeechRecognition/3.4. Accessed 21 May 2016
Cloud speech API: Speech to text conversion powered by machine learning. https://cloud.google.com/speech/. Accessed 25 Sept 2017
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Hameed, I.A., Strazdins, G., Hatlemark, H.A.M., Jakobsen, I.S., Damdam, J.O. (2018). Robots That Can Mix Serious with Fun. In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-74690-6_58
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