Skip to main content
SpringerLink
Log in

Using AI Chatbots in Education: Recent Advances Challenges and Use Case

  • Conference paper
  • First Online:
Artificial Intelligence and Sustainable Computing

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

Nowadays, younger generation is much more exposed to technology than previous generations used to. The recent advances in artificial intelligence (AI) and particularly natural language processing (NLP) and understanding (NLU) make it possible to reinforce and widespread the adoption of AI chatbots in education not only to help students in their administrative affairs or in academic advising but also in assisting them and monitoring their performance during their learning experience. This paper presents a review of the different methods and tools devoted to the design of chatbots with an emphasis on their use and challenges in the education field. Additionally, this paper focuses on language-related challenges and obstacles that hinder the implementation of English, Arabic, and other languages of chatbots. To show how AI chatbots benefit education, a use case is described where Hubert.ai chatbot has been used to assess students’ feedback regarding a machine learning course evaluation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Verleger M, Pembridge J (2018) A pilot study integrating an AI-driven chatbot in an introductory programming course. In: Proceedings—frontiers in education conference, FIE, 2019, Oct 2018

    Google Scholar 

  2. Duncker D (2020) Chatting with chatbots: sign making in text-based human-computer interaction. Sign Syst Stud 48(1):79–100

    Article  Google Scholar 

  3. Smutny P, Schreiberova P (2020) Chatbots for learning: a review of educational chatbots for the facebook messenger. Comput Educ 151:103862

    Article  Google Scholar 

  4. Miklosik A, Evans N, Qureshi AMA (2021) The use of chatbots in digital business transformation: a systematic literature review. IEEE Access 9:106530–106539

    Article  Google Scholar 

  5. Singh S, Thakur HK (2020) Survey of various AI chatbots based on technology used. In: ICRITO 2020—IEEE 8th international conference on reliability, infocom technologies and optimization (trends and future directions), pp 1074–1079

    Google Scholar 

  6. Sandu N, Gide E (2019) Adoption of AI-chatbots to enhance student learning experience in higher education in india. In: 2019 18th International conference on information technology based higher education and training, ITHET 2019

    Google Scholar 

  7. Weizenbaum J (1966) ELIZA-A computer program for the study of natural language communication between man and machine. Commun ACM 9(1):36–45

    Article  Google Scholar 

  8. Nuruzzaman M, Hussain OK (2020) IntelliBot: a dialogue-based chatbot for the insurance industry. Knowledge-Based Syst 196:105810

    Article  Google Scholar 

  9. Yeung Shum H, Dong He X, Li D (2018) From Eliza to XiaoIce: challenges and opportunities with social chatbots. Frontiers Inform Technol Electron Eng. Zhejiang University 19(1):10–26, 01 Jan 2018

    Google Scholar 

  10. Wu Y, Wu W, Xing C, Xu C, Li Z, Zhou M (2019) A sequential matching framework for multi-turn response selection in retrieval-based chatbots. Comput Linguist 45(1):163–197

    Article  MathSciNet  Google Scholar 

  11. Nuruzzaman M, Hussain OK (2018) A survey on chatbot implementation in customer service industry through deep neural networks. In: Proceedings—2018 IEEE 15th international conference on e-business engineering, ICEBE 2018, pp 54–61

    Google Scholar 

  12. Hien HT, Cuong PN, Nam LNH, Nhung HLTK, Thang LD (2018) Intelligent assistants in higher-education environments: the FIT-EBOt, a chatbot for administrative and learning support. In: ACM international conference proceeding series, pp 69–76

    Google Scholar 

  13. Lin Z et al (2019) CAiRE: an empathetic neural chatbot, Jul 2019

    Google Scholar 

  14. Qiu M et al (2017) AliMe chat: a sequence to sequence and rerank based chatbot engine. In: Proceedings of the 55th annual meeting of the association for computational linguistics (volume 2: short papers), vol 2, pp 498–503

    Google Scholar 

  15. Bharti U, Bajaj D, Batra H, Lalit S, Lalit S, Gangwani A (2020) Medbot: conversational artificial intelligence powered chatbot for delivering tele-health after COVID-19, pp 870–875

    Google Scholar 

  16. Tammewar A, Pamecha M, Jain C, Nagvenkar A, Modi K (2017) Production ready chatbots: generate if not retrieve. arXiv

    Google Scholar 

  17. Adamopoulou E, Moussiades L (2020) Chatbots: history, technology, and applications. Mach Learn Appl 2:100006

    Google Scholar 

  18. Palasundram K, Mohd Sharef N, Kasmiran KA, Azman A (2020) Enhancements to the sequence-to-sequence-based natural answer generation models. IEEE Access 8:45738–45752

    Google Scholar 

  19. Rajamalli Keerthana R, Fathima G, Florence L (2021) Evaluating the performance of various deep reinforcement learning algorithms for a conversational chatbot, pp 1–8, Jun 2021

    Google Scholar 

  20. Ferreira‐Mello R, André M, Pinheiro A, Costa E, Romero C (2019) Text mining in education. Wiley Interdiscip Rev Data Min Knowl Discov 9(6)

    Google Scholar 

  21. Chen LE, Cheng SY, Heh J-S (2021) Chatbot : a question answering system for student, pp 345–346, Aug 2021

    Google Scholar 

  22. Palasundram K, Sharef NM, Nasharuddin NA, Kasmiran KA, Azman A (2019) Sequence to sequence model performance for education chatbot. Int J Emerg Technol Learn 14(24):56–68

    Article  Google Scholar 

  23. Dokukina I, Gumanova J (2020) The rise of chatbots-new personal assistants in foreign language learning. Procedia Comput Sci 169:542–546

    Article  Google Scholar 

  24. Ondáš S, Pleva M, Hládek D (2019) How chatbots can be involved in the education process. In: 17th International, ieeexplore.ieee.org‏

    Google Scholar 

  25. Lee LK, Fung YC, Pun YW, Wong KK, Yu MTY, Wu NI (2020) Using a multiplatform chatbot as an online tutor in a university course. In: Proceedings—2020 international symposium on educational technology, ISET 2020, pp 53–56

    Google Scholar 

  26. Almurtadha Y (2019) LABEEB: intelligent conversational agent approach to enhance course teaching and allied learning outcomes attainment. J Appl Comput Sci Math 13(1):9–12

    Article  Google Scholar 

  27. Chopra S, Gianforte R, Sholar J Meet Percy: the CS 221 teaching assistant chatbot. ACM Trans Graph 1(1)

    Google Scholar 

  28. Carlander-Reuterfelt D, Carrera A, Iglesias CA, Araque O, Sanchez Rada JFS, Munoz S (2020) JAICOB: a data science chatbot. IEEE Access 8:180672–180680

    Google Scholar 

  29. Almurayh A (2021) The challenges of using arabic chatbot in Saudi universities. IAENG Int J Comput Sci 48(1):190–201

    Google Scholar 

  30. Ayanouz S, Abdelhakim BA, Benhmed M (2020) A smart chatbot architecture based NLP and machine learning for health care assistance. In: ACM international conference proceeding security

    Google Scholar 

  31. Niranjan M, Saipreethy MS, Kumar TG (2012) An intelligent question answering conversational agent using Naïve Bayesian classifier. In: Proceedings—2012 IEEE international conference on technology enhanced education, ICTEE 2012

    Google Scholar 

  32. Ali DA, Habash N (2016) Botta: an Arabic dialect chatbot, pp 208–212

    Google Scholar 

  33. Al-Ghadhban D, Al-Twairesh N (2020) Nabiha: an Arabic dialect chatbot. Int J Adv Comput Sci Appl 11(3):452–459

    Google Scholar 

  34. AlHumoud S, Al Wazrah A, Aldamegh W (2018) Arabic chatbots: a survey. Int J Adv Comput Sci Appl 9(8):535–541

    Google Scholar 

  35. Houtsma MJ (2020) Perceived AI performance and intended future use in AI-based applications

    Google Scholar 

  36. Raj U, Jain R (2019) Methodologies in chat bot learning. SSRN Electron J

    Google Scholar 

  37. Hubert+1—Add more to your team [Online]. Available: https://hubert.ai/. Accessed 07 Apr 2021

Download references

Author information

Authors and Affiliations

  1. School of Computing, University of Leeds, Leeds, LS2 9JT, UK

    Moneerh Aleedy & Eric Atwell

  2. Information Technology Department, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

    Moneerh Aleedy & Souham Meshoul

Authors
  1. Moneerh Aleedy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Eric Atwell
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Souham Meshoul
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Moneerh Aleedy .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Manjaree Pandit

  2. Madhav Institute of Technology and Science, Gwalior, India

    M. K. Gaur

  3. Thapar Institute of Engineering and Technology, Patiala, India

    Prashant Singh Rana

  4. Madhav Institute of Technology and Science, Gwalior, India

    Akhilesh Tiwari

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Aleedy, M., Atwell, E., Meshoul, S. (2022). Using AI Chatbots in Education: Recent Advances Challenges and Use Case. In: Pandit, M., Gaur, M.K., Rana, P.S., Tiwari, A. (eds) Artificial Intelligence and Sustainable Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1653-3_50

Download citation

Publish with us

Policies and ethics

Search

Navigation