International Journal of Advanced Networking and Applications

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A Proposed Cognitive Framework Model for a Student Support Chatbot in a Higher Education Institution


Affiliations
1 IT Department, University of Technology and Applied Sciences-Shinas, Oman
 

The proposed student support chatbot is a framework model that enables the discovery of theoretical and conceptual design. It is aimed at responding to students' frequently asked questions (FAQs) about pedagogical information, including course registrations, fees, exams, course assessments, grades, appeals against the grades, and anything related to students in a higher education institution (HEI). All the student-related information can be implemented as a real-time conversational system on the web or on a mobile platform of any HEI, such as institutional websites, mobile apps, or integrations with their social media like WhatsApp, Twitter, Facebook Messenger, or Instagram. This design intends to provide cognitive services by identifying the benefits, challenges, and various ways of implementation. Most students individually ask the same question repeatedly to their advisors and course lecturers, which could be discussed and explained earlier, in which the faculties are spending too much time responding to their advisees' or students' questions. The cognitive services include different languages for text-based, voice-based, and graphical user interface requests with sensitive as well as non-sensitive requests. Thus, a student support chatbot is recommended for any HEI to minimize the time spent repeatedly answering questions, and this helps the staff, advisors, and faculties utilize the time on other academic performance.

Keywords

AIML, Chatbot, Conversational AI, FAQ, HEI, Student Support
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  • IBM Cloud Education, Conversational AI (2020), https://www.ibm.com/cloud/learn /conversationalai.

  • LiveChat Inc, Chatbot Guide (2021), https://www.chatbot.com/ chatbot-guide.

  • Bhavika R. Ranoliya, Nidhi Raghuwanshi and Sanjay Singh, Chatbot for University Related FAQs, International Conference on Advances in Computing, Communications and Informatics, 2017, pp. 1525-1530, doi: 10.1109/ICACCI.2017.8126057.

  • Madhumitha.S, et al. Interactive Chatbot Using AIML, Special Issue Published in Int. Jnl. Of Advanced Networking & Applications (IJANA), 217-223, https://www.ijana.in/papers/62.pdf.

  • Vishal R. Shinde et al. Chatbot for college related FAQs, International Journal for Research in Engineering Application & Management, (2019) 31- 35, issn: 2454-9150.

  • Indhu.G, et al. Chatbot for Student Information, Special Issue Published in Int. Jnl. Of Advanced Networking & Applications (IJANA),31-33, https://www.ijana.in/papers/11.pdf.

  • Shang-Pin Ma & Ching-Ting Ho, Modularized and Flow-Based Approach to Chatbot Design and Deployment, Journal of Information Science and Engineering 34 (2018), ISSN: 1187-1201, doi: 10.6688/JISE.201809_34(5).0005.

  • Massimo Canonico & Luigi De Russis, A Comparison and Critique of Natural Language Understanding Tools, Cloud Computing, The Ninth International Conference on Cloud Computing, GRIDs, and Virtualization, (2018).

  • Graciane X. Nobre et al., A Chatbot Approach to Automating FAQ Responses in an Undergraduate Course Domain, (2019), http://www.repositorio.ufc.br/bitstream/riufc/55127/ 1/ 2019_tcc_gxnobre.pdf.

  • Neelkumar P. Patel et al., AI and Web-Based Human-Like Interactive University Chatbot (UNIBOT), Third International Conference on Electronics Communication and Aerospace Technology, (2019) 148-150, isbn: 978-1-7281- 0167-5.

  • NahdatulAkma Ahmad et al., UNISEL Bot: Designing Simple Chatbot System for University FAQs, International Journal of Innovative Technology and Exploring Engineering, 9 (2019) issn: 2278-3075.

  • J.Jinu Sophia &T.Prem Jacob, EDUBOT-A Chatbot For Education in Covid-19 Pandemic and VQAbot Comparison, Second International Conference on Electronics and Sustainable Communication Systems (2021), doi: 10.1109/ICESC51422.2021.9532611.

  • Naing NaingKhin&Khin Mar Soe, University Chatbot using Artificial Intelligence Markup Language, IEEE Conference on Computer Applications (2020), doi: 10.1109/ICCA49400.2020.9022814

  • B. Arunkumar, Development of Chatbot Automation Application – DGCT CSE ALEXA, International Research Journal of Engineering and Technology 07 (2020) 4498-4501, p-ISSN: 2395- 0072.

  • Lala Olusegun Gbengaa et al., An Improved Rapid Response Model for University Admission Enquiry System Using Chatbot, International Journal of Computer 38 (2020) 123-131.

  • Gwendal Daniel et al. (2020) Xatkit: A Multimodal Low-Code Chatbot Development Framework, doi: 10.1109/ACCESS.2020.2966919.

  • Gwendal Daniel & Jordi Cabot, The Software Challenges of Building Smart Chatbots, 43rd International Conference on Software Engineering: Companion Proceedings (2021), doi: 10.1109/ICSECompanion52605.2021.00138.

  • Debmalya Biswas, Privacy preserving chatbot conversations, IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (2020), doi: 10.1109/AIKE48582.2020.00035.

  • Godavarthi Sri Sai Vikas et al., Information Chatbot for College Management System Using Multinomial Naive Bayes, 2nd International Conference on Smart Electronics and Communication (2021), doi: 10.1109/ICOSEC51865.2021.9591757.

  • E.Kasthuri and Dr.S.Balaji, A Chatbot for Changing Lifestyle in Education, Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (2021) 1317-1322, doi: 10.1109/ICICV50876.2021.9388633.

  • Chinedu Wilfred Okonkwo and Abejide Ade- Ibijola, Chatbots applications in education: A systematic review, Computers and Education: Artificial Intelligence 2 (2021), doi: 10.1016/j.caeai.2021.100033.

  • William Villegas-Ch et al., Implementation of a Virtual Assistant for the Academic Management of a University with the Use of Artificial Intelligence, Future Internet 13 (2021), doi:10.3390/fi13040097.

  • Claudia de Armas de Armas et al., Cloud-based ecosystem proposal for applying an intelligent virtual assistant in online education, 2nd Sustainable Cities Latin America Conference (2021), doi: 10.1109/SCLA53004.2021.9540099.

  • V.Prathyusha et al., Information Acquisition Chatbot System using LUIS, Sixth International Conference on Inventive Computation Technologies, 6th International Conference on Inventive Computation Technologies (2021). doi: 10.1109/ICICT50816.2021.9358531.

  • Athira Susan George et al., Survey on the Design and Development of Indian Language Chatbots, International Conference on Communication, Control, and Information Sciences (2021), doi: 10.1109/ICCISc52257.2021.9484891.


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  • A Proposed Cognitive Framework Model for a Student Support Chatbot in a Higher Education Institution

Abstract Views: 182  |  PDF Views: 0

Authors

V. Bala Dhandayuthapani
IT Department, University of Technology and Applied Sciences-Shinas, Oman

Abstract


The proposed student support chatbot is a framework model that enables the discovery of theoretical and conceptual design. It is aimed at responding to students' frequently asked questions (FAQs) about pedagogical information, including course registrations, fees, exams, course assessments, grades, appeals against the grades, and anything related to students in a higher education institution (HEI). All the student-related information can be implemented as a real-time conversational system on the web or on a mobile platform of any HEI, such as institutional websites, mobile apps, or integrations with their social media like WhatsApp, Twitter, Facebook Messenger, or Instagram. This design intends to provide cognitive services by identifying the benefits, challenges, and various ways of implementation. Most students individually ask the same question repeatedly to their advisors and course lecturers, which could be discussed and explained earlier, in which the faculties are spending too much time responding to their advisees' or students' questions. The cognitive services include different languages for text-based, voice-based, and graphical user interface requests with sensitive as well as non-sensitive requests. Thus, a student support chatbot is recommended for any HEI to minimize the time spent repeatedly answering questions, and this helps the staff, advisors, and faculties utilize the time on other academic performance.

Keywords


AIML, Chatbot, Conversational AI, FAQ, HEI, Student Support

References