A Systematic Review of Conversational AI Chatbots in Academic Advising

Purpose – This paper aims to review several studies published between 2018 to 2022 about advising chatbots in schools and universities as well as evaluating the state-of-the-art machine learning models that are deployed into these models. Methodology – This paper follows the Preferred Reporting Item...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Assayed, Suha Khalil (author)
مؤلفون آخرون: Alkhatib, Manar (author), Shaalan, Khaled (author)
منشور في: 2024
الموضوعات:
الوصول للمادة أونلاين:https://bspace.buid.ac.ae/handle/1234/2559
https://link.springer.com/chapter/10.1007/978-3-031-56121-4_33
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author Assayed, Suha Khalil
author2 Alkhatib, Manar
Shaalan, Khaled
author2_role author
author
author_facet Assayed, Suha Khalil
Alkhatib, Manar
Shaalan, Khaled
author_role author
dc.creator.none.fl_str_mv Assayed, Suha Khalil
Alkhatib, Manar
Shaalan, Khaled
dc.date.none.fl_str_mv 2024-04-05T12:12:34Z
2024-04-05T12:12:34Z
2024
dc.identifier.none.fl_str_mv Assayed, S.K., Alkhatib, M., Shaalan, K. (2024). A Systematic Review of Conversational AI Chatbots in Academic Advising. In: Al Marri, K., Mir, F.A., David, S.A., Al-Emran, M. (eds) BUiD Doctoral Research Conference 2023. Lecture Notes in Civil Engineering, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-031-56121-4_33
Print: 978-3031561207 Online: 978-3031561214
https://bspace.buid.ac.ae/handle/1234/2559
https://link.springer.com/chapter/10.1007/978-3-031-56121-4_33
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv SpringerLink
dc.relation.none.fl_str_mv https://link.springer.com/chapter/10.1007/978-3-031-56121-4_33
dc.subject.none.fl_str_mv artificial intelligence, chatbot, conversational AI, machine learning, student, systematic literature review
dc.title.none.fl_str_mv A Systematic Review of Conversational AI Chatbots in Academic Advising
dc.type.none.fl_str_mv Conference paper
description Purpose – This paper aims to review several studies published between 2018 to 2022 about advising chatbots in schools and universities as well as evaluating the state-of-the-art machine learning models that are deployed into these models. Methodology – This paper follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), it demonstrated the main phases of the systematic review, it starts with screening 128 articles and then including 11 articles for systematic review which focused on the current services of the advising chatbots in schools and universities, as well the artificial models that are embedded into the chatbots. Findings – Two main dimensions with other sub-dimensions are extracted from the 11 included studies as it shows the following: 1- Advising chatbots AI Architecture which includes other sub-dimensions on identifying the deep learning based chatbots, hybrid chatbots and other open-resources for customizing chatbots; 2- The goals of the advising chatbot as it includes both the admission advising and academic advising. Conclusion – Most of studies shows that advising chatbots are developed for admission and academic advising. Few researchers who study the chatbots in high schools, there is a lack of studies in developing chatbots for students advising in high schools. Limitations and future work – This study is constrained to review the studies from 2018–2022, and it is not exposed to the chatbots artifacts, even though, the human-chatbot interaction has an essential impact on students’ experiences. Future research should include the impact of chatbots interactive design and students’ experiences.
id budr_250d6f3f2472fc445e7a92e1ec39072a
identifier_str_mv Assayed, S.K., Alkhatib, M., Shaalan, K. (2024). A Systematic Review of Conversational AI Chatbots in Academic Advising. In: Al Marri, K., Mir, F.A., David, S.A., Al-Emran, M. (eds) BUiD Doctoral Research Conference 2023. Lecture Notes in Civil Engineering, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-031-56121-4_33
Print: 978-3031561207 Online: 978-3031561214
language_invalid_str_mv en
network_acronym_str budr
network_name_str The British University in Dubai repository
oai_identifier_str oai:bspace.buid.ac.ae:1234/2559
publishDate 2024
publisher.none.fl_str_mv SpringerLink
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling A Systematic Review of Conversational AI Chatbots in Academic AdvisingAssayed, Suha KhalilAlkhatib, ManarShaalan, Khaledartificial intelligence, chatbot, conversational AI, machine learning, student, systematic literature reviewPurpose – This paper aims to review several studies published between 2018 to 2022 about advising chatbots in schools and universities as well as evaluating the state-of-the-art machine learning models that are deployed into these models. Methodology – This paper follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), it demonstrated the main phases of the systematic review, it starts with screening 128 articles and then including 11 articles for systematic review which focused on the current services of the advising chatbots in schools and universities, as well the artificial models that are embedded into the chatbots. Findings – Two main dimensions with other sub-dimensions are extracted from the 11 included studies as it shows the following: 1- Advising chatbots AI Architecture which includes other sub-dimensions on identifying the deep learning based chatbots, hybrid chatbots and other open-resources for customizing chatbots; 2- The goals of the advising chatbot as it includes both the admission advising and academic advising. Conclusion – Most of studies shows that advising chatbots are developed for admission and academic advising. Few researchers who study the chatbots in high schools, there is a lack of studies in developing chatbots for students advising in high schools. Limitations and future work – This study is constrained to review the studies from 2018–2022, and it is not exposed to the chatbots artifacts, even though, the human-chatbot interaction has an essential impact on students’ experiences. Future research should include the impact of chatbots interactive design and students’ experiences.SpringerLink2024-04-05T12:12:34Z2024-04-05T12:12:34Z2024Conference paperAssayed, S.K., Alkhatib, M., Shaalan, K. (2024). A Systematic Review of Conversational AI Chatbots in Academic Advising. In: Al Marri, K., Mir, F.A., David, S.A., Al-Emran, M. (eds) BUiD Doctoral Research Conference 2023. Lecture Notes in Civil Engineering, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-031-56121-4_33Print: 978-3031561207 Online: 978-3031561214https://bspace.buid.ac.ae/handle/1234/2559https://link.springer.com/chapter/10.1007/978-3-031-56121-4_33enhttps://link.springer.com/chapter/10.1007/978-3-031-56121-4_33oai:bspace.buid.ac.ae:1234/25592024-04-15T16:43:15Z
spellingShingle A Systematic Review of Conversational AI Chatbots in Academic Advising
Assayed, Suha Khalil
artificial intelligence, chatbot, conversational AI, machine learning, student, systematic literature review
title A Systematic Review of Conversational AI Chatbots in Academic Advising
title_full A Systematic Review of Conversational AI Chatbots in Academic Advising
title_fullStr A Systematic Review of Conversational AI Chatbots in Academic Advising
title_full_unstemmed A Systematic Review of Conversational AI Chatbots in Academic Advising
title_short A Systematic Review of Conversational AI Chatbots in Academic Advising
title_sort A Systematic Review of Conversational AI Chatbots in Academic Advising
topic artificial intelligence, chatbot, conversational AI, machine learning, student, systematic literature review
url https://bspace.buid.ac.ae/handle/1234/2559
https://link.springer.com/chapter/10.1007/978-3-031-56121-4_33