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Supporting Student-Teacher Interaction Through a Chatbot

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Learning and Collaboration Technologies. Human and Technology Ecosystems (HCII 2020)

Abstract

Nowadays, an important part of academic education comes from online information, such as class topics, homework, and practices. In this sector, chatbots can be a valuable tool in the teaching/learning process by providing information about courses, procedures, and school services. Thus, the deployment of chatbots in schools and universities starts having a high priority for the academic staff. Nevertheless, most chatbots lack mechanisms to adequately integrate into the educational activities, since they should be useful for teachers, students, and educative assistant personnel (e.g., social workers, psychologists, pedagogues, and prefects). In this article, we propose a chatbot whose primary objective is to serve as an extra-school tool and as an intermediary between teachers and students. In this way, students could express themselves more freely, since the chatbot acts as a bridge with their teachers and other involved personnel. Our prototype was developed as a Web application that provides a text-based user interface and defines several interaction profiles to encompass the specific functions of the different actors in the teaching/learning process. We evaluated the proposed chatbot with the participation of third-year middle school students and teachers. In particular, we measured the workload perceived by our participants after performing a series of tasks. According to our results, our chatbot mostly obtained positive impressions from the test participants.

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References

  1. AdmitHub: Admithub (2019). https://www.admithub.com/. Accessed Oct 2019

  2. Agus Santoso, H., et al.: Dinus intelligent assistance (DINA) chatbot for university admission services. In: 2018 International Seminar on Application for Technology of Information and Communication, pp. 417–423, September 2018. https://doi.org/10.1109/ISEMANTIC.2018.8549797

  3. Argal, A., Gupta, S., Modi, A., Pandey, P., Shim, S., Choo, C.: Intelligent travel chatbot for predictive recommendation in echo platform. In: 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pp. 176–183, January 2018. https://doi.org/10.1109/CCWC.2018.8301732

  4. Banfield, R., Lombardo, C.T., Wax, T.: Design Sprint: A Practical Guidebook for Building Great Digital Products. O’Reilly Media Inc., Newton (2015)

    Google Scholar 

  5. Basogain, X., Olabe, M.A., Olabe, J.C.: Transition to a modern education system through e-learning. In: Proceedings of the 2017 International Conference on Education and E-Learning, ICEEL 2017, pp. 41–46. Association for Computing Machinery, Bangkok (2017). https://doi.org/10.1145/3160908.3160924

  6. Benotti, L., Martínez, M.C., Schapachnik, F.: Engaging high school students using chatbots. In: Proceedings of the 2014 Conference on Innovation and Technology in Computer Science Education. ITiCSE 2014, pp. 63–68. Association for Computing Machinery, New York (2014). https://doi.org/10.1145/2591708.2591728

  7. Biancarosa, G., Griffiths, G.G.: Technology tools to support reading in the digital age. Future Child. 22(2), 139–160 (2012)

    Article  Google Scholar 

  8. Clarizia, F., Colace, F., Lombardi, M., Pascale, F., Santaniello, D.: Chatbot: an education support system for student. In: Castiglione, A., Pop, F., Ficco, M., Palmieri, F. (eds.) CSS 2018. LNCS, vol. 11161, pp. 291–302. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01689-0_23

    Chapter  Google Scholar 

  9. Cohn, M.: User Stories Applied: For Agile Software Development. Addison-Wesley Professional, Boston (2004)

    Google Scholar 

  10. Cunningham-Nelson, S., Boles, W.W., Trouton, L., Margerison, E.: A review of chatbots in education: practical steps forward. In: Australasian Association for Engineering Education 2019, Brisbane, December 2019. https://eprints.qut.edu.au/134323/

  11. Dian Sano, A.V., Daud Imanuel, T., Intanadias Calista, M., Nindito, H., Raharto Condrobimo, A.: The application of AGNES algorithm to optimize knowledge base for tourism chatbot. In: 2018 International Conference on Information Management and Technology (ICIMTech), pp. 65–68, September 2018. https://doi.org/10.1109/ICIMTech.2018.8528174

  12. Fonte, F.A.M., Nistal, M.L., Rial, J.C.B., Rodríguez, M.C.: NLAST: a natural language assistant for students. In: 2016 IEEE Global Engineering Education Conference (EDUCON), pp. 709–713, April 2016. https://doi.org/10.1109/EDUCON.2016.7474628

  13. Hart, S.G., Staveland, L.E.: Development of NASA-TLX (task load index): results of empirical and theoretical research. In: Hancock, P.A., Meshkati, N. (eds.) Human Mental Workload, Advances in Psychology, vol. 52, pp. 139–183. North-Holland (1988). https://doi.org/10.1016/S0166-4115(08)62386-9

  14. Kar, R., Haldar, R.: Applying chatbots to the Internet of Things: opportunities and architectural elements. Int. J. Adv. Comput. Sci. Appl. 7(11) (2016). https://doi.org/10.14569/IJACSA.2016.071119

  15. Keijzer-Broers, W.J.W., de Reuver, M.: Applying agile design sprint methods in action design research: prototyping a health and wellbeing platform. In: Parsons, J., Tuunanen, T., Venable, J., Donnellan, B., Helfert, M., Kenneally, J. (eds.) DESRIST 2016. LNCS, vol. 9661, pp. 68–80. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39294-3_5

    Chapter  Google Scholar 

  16. Kumar, V., Bhardwaj, A.: Role of cloud computing in school education. In: Handbook of Research on Diverse Teaching Strategies for the Technology-Rich Classroom, pp. 98–108. IGI Global (2020)

    Google Scholar 

  17. Maderer, J.: Jill watson, round three (2017). https://www.news.gatech.edu/2017/01/09/jill-watson-round-three. Accessed Oct 2019

  18. Molnár, G., Szüts, Z.: The role of chatbots in formal education. In: 2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY), pp. 000197–000202, September 2018. https://doi.org/10.1109/SISY.2018.8524609

  19. Ndukwe, I.G., Daniel, B.K., Amadi, C.E.: A machine learning grading system using chatbots. In: Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds.) AIED 2019. LNCS (LNAI), vol. 11626, pp. 365–368. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-23207-8_67

    Chapter  Google Scholar 

  20. Ranoliya, B.R., Raghuwanshi, N., Singh, S.: Chatbot for university related FAQs. In: 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1525–1530, September 2017. https://doi.org/10.1109/ICACCI.2017.8126057

  21. Ravi, R.: Intelligent chatbot for easy web-analytics insights. In: 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 2193–2195, September 2018. https://doi.org/10.1109/ICACCI.2018.8554577

  22. Sari, E., Tedjasaputra, A.: Designing valuable products with design sprint. In: Bernhaupt, R., Dalvi, G., Joshi, A., K. Balkrishan, D., O’Neill, J., Winckler, M. (eds.) INTERACT 2017. LNCS, vol. 10516, pp. 391–394. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68059-0_37

    Chapter  Google Scholar 

  23. Shaw, A.: Using chatbots to teach socially intelligent computing principles in introductory computer science courses. In: 2012 Ninth International Conference on Information Technology - New Generations, pp. 850–851, April 2012. https://doi.org/10.1109/ITNG.2012.70

  24. Shawar, B.A., Atwell, E.: Chatbots: are they really useful? In: LDV Forum, vol. 22, pp. 29–49 (2007)

    Google Scholar 

  25. Southall, H., Marmion, M., Davies, A.: Adapting Jake Knapp’s design sprint approach for AR/VR applications in digital heritage. In: tom Dieck, M.C., Jung, T. (eds.) Augmented Reality and Virtual Reality. PI, pp. 59–70. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-06246-0_5

    Chapter  Google Scholar 

  26. Zhong, S.H., Li, Y., Liu, Y., Wang, Z.: A computational investigation of learning behaviors in MOOCs. Comput. Appl. Eng. Educ. 25(5), 693–705 (2017). https://doi.org/10.1002/cae.21830

    Article  Google Scholar 

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Acknowledgements

The work described in this paper was funded by “Fondo SEP-CINVESTAV de Apoyo a la Investigación (Call 2018)”. Number of project 120 titled “Desarrollo de un chatbot inteligente para asistir el proceso de enseñanza/aprendizaje en temas educativos y tecnológicos”.

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Correspondence to Sonia Mendoza .

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Mendoza, S., Hernández-León, M., Sánchez-Adame, L.M., Rodríguez, J., Decouchant, D., Meneses-Viveros, A. (2020). Supporting Student-Teacher Interaction Through a Chatbot. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. Human and Technology Ecosystems. HCII 2020. Lecture Notes in Computer Science(), vol 12206. Springer, Cham. https://doi.org/10.1007/978-3-030-50506-6_8

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  • DOI: https://doi.org/10.1007/978-3-030-50506-6_8

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