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Chatbot at University, a Communication Tool to Increase Work Productivity

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 527))

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Abstract

The implementation of intelligent services at university level is another step towards the transformation of education. The main goal of any innovation in education is to improve the quality of education, this is a complicated concept, because there are many variables that need to be considered in the success or failure of these innovations. These innovations include the implementation of chatbots. The use of chatbots in a common space has confirmed its viability and it is therefore quite logical that these solutions can be applied in a university environment. Although it has had many applications in several sectors over the last decade, their implementation in higher education is still in its infancy. The chatbot market is expected to grow tremendously between 2020 and 2024, so it is high time for universities to implement chatbots. This paper will look at how companies have improved their services and processes by implementing chatbot services and how this can translate into a more efficient and effective university environment.

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References

  1. Nimavat, K., Champaneria, T.: Chatbots: an overview types, architecture, tools and future possibilities. Int. J. Sci. Res. Dev. 5(7), 1019–1024 (2017)

    Google Scholar 

  2. Adamopoulou, E., Moussiades, L.: An overview of chatbot technology. In: Maglogiannis, I., Iliadis, L., Pimenidis, E. (eds.) AIAI 2020. IFIP Advances in Information and Communication Technology, vol. 584, pp. 373–383. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49186-4_31

  3. Hien, H.T., et al.: Intelligent assistants in higher-education environments: the FIT-EBot, a chatbot for administrative and learning support. In: Proceedings of the Ninth International Symposium on Information and Communication Technology, pp. 69–76 (2018)

    Google Scholar 

  4. Ramesh, K., Ravishankaran, S., Joshi, A., Chandrasekaran, K.: A survey of design techniques for conversational agents. In: Kaushik, S., Gupta, D., Kharb, L., Chahal, D. (eds.) ICICCT 2017. Communications in Computer and Information Science, vol, 750, pp. 336–350. Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-6544-6_31

  5. Wu, Y., et al.: Sequential matching network: a new architecture for multi-turn response selection in retrieval-based chatbots. arXiv preprint arXiv:1612.01627 (2016)

  6. Conversational AI Platform for Enterprise – Teneo—Artificial Solutions 2022. Chatbots: the Definitive Guide 2021. https://www.artificial-solutions.com/chatbots#2. Accessed 20 Apr 2022

  7. Gapanyuk, Y., et al.: The hybrid chatbot system combining Q&A and knowledge-base approaches. In: 7th International Conference on Analysis of Images, Social Networks and Texts, pp. 42–53 (2018)

    Google Scholar 

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Correspondence to Peter Balco .

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Košecka, D., Balco, P., Murgor, S.C. (2022). Chatbot at University, a Communication Tool to Increase Work Productivity. In: Barolli, L., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2022. Lecture Notes in Networks and Systems, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-031-14627-5_8

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