Using Cloud-Based Chatbot Builder in Developing Pedagogical Conversational Agent
Using Cloud-Based Chatbot Builder in Developing Pedagogical Conversational Agent |
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© 2023 by IJETT Journal | ||
Volume-71 Issue-7 |
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Year of Publication : 2023 | ||
Author : Carolyn F. Salazar |
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DOI : 10.14445/22315381/IJETT-V71I7P229 |
How to Cite?
Carolyn F. Salazar, "Using Cloud-Based Chatbot Builder in Developing Pedagogical Conversational Agent," International Journal of Engineering Trends and Technology, vol. 71, no. 7, pp. 301-314, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I7P229
Abstract
Pedagogical conversational agents (PCAs) are intelligent software agents designed to enhance learning experiences through interactive and personalized instruction. This research aimed to develop a PCA that supports nursing students in acquiring knowledge in a nursing pharmacology course. The study utilized a cloud-based chatbot builder Chatfuel to build the PCA following the chatbot lifecycle. Quality evaluation based on ISO 25010 standards was conducted to assess the developed PCA's compliance and usability. The findings demonstrated that the PCA meets the quality standards and is perceived as a handy tool for learning pharmacology by nursing students. Hence, higher education institutions can recommend using a cloud-based chatbot builder in developing PCA according to their specialization and courses handled. This research contributes to the limited literature on PCA in nursing education and explores the application of cloud-based chatbot builders in developing PCAs.
Keywords
Chatbot, Chatfuel, Nursing education, Pedagogical Conversational Agent, Usability testing.
References
[1] Julija Skrebeca et al., “Modern Development Trends of Chatbots Using Artificial Intelligence (AI),” 62nd International Scientific Conference on Information Technology and Management Science of Riga Technical University, pp. 1-6, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Shahzia Khan, and Mubeena Iqbal, “AI-Powered Customer Service: Does it Optimize Customer Experience?,” 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), pp. 590–594, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[3] A. N. Vaidyam et al., “Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape,” The Canadian Journal of Psychiatry, vol. 64, no. 7, pp. 456–464, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Sebastian Wollny et al., “Are We There Yet? - A Systematic Literature Review on Chatbots in Education,” Frontiers in Artificial Intelligence, vol. 4, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Mohammad Amin Kuhail et al., “Interacting with Educational Chatbots: A Systematic Review,” Education and Information Technologies, vol. 28, no. 1, pp. 973–1018, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Ho Thao Hien et al., “Intelligent Assistants in Higher-Education Environments: The FIT-EBOt, a Chatbot for Administrative and Learning Support,” 9th International Symposium on Information and Communication Technology, pp. 69–76, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Francesc Pedro et al., “Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development,” UNESCO Education Sector, 2019.
[Google Scholar] [Publisher Link]
[8] Harry Barton Essel et al., “The Impact of a Virtual Teaching Assistant (Chatbot) on Students’ Learning in Ghanaian Higher Education,” International Journal of Educational Technology in Higher Education, vol. 19, no. 57, 2022.
[Google Scholar] [Publisher Link]
[9] G. Cameron et al., “Back to the Future: Lessons from Knowledge Engineering Methodologies for Chatbot Design and Development,” 32nd International BCS Human Computer Interaction Conference, 2018.
[Google Scholar] [Publisher Link]
[10] Rainer Winkler, and Matthias Soellner, “Unleashing the Potential of Chatbots in Education: A State-Of-the-Art Analysis,” Academy of Management, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Luke K. Fryer et al., “Supporting Self-Efficacy Beliefs and Interest as Educational Inputs and Outcomes: Framing AI and Human Partnered Task Experiences,” Learning and Individual Differences, vol. 80, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Jeya Amantha Kumar, “Educational Chatbots for Project-Based Learning: Investigating Learning Outcomes for a Team-Based Design Course,” International Journal of Educational Technology in Higher Education, vol. 18, no. 65, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Jeong-Won Han, Junhee Park, and Hanna Lee, “Analysis of the Effect of an Artificial Intelligence Chatbot Educational Program on Non-Face-to-Face Classes: A Quasi-Experimental Study,” BMC Medical Education, vol. 22, no. 830, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Sara Pérez-Soler et al., “Choosing a Chatbot Development Tool,” IEEE Software, vol. 38, no. 4, pp. 94–103, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Siddhant Singh, and Hardeo K. Thakur, “Survey of Various AI Chatbots Based on Technology Used,” 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), pp. 1074–1079, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Beerud Sheth, “The Bot Lifecycle. What to Know Before you Make your Chatbot,” Chatbots Magazine, 2016. [Google Scholar] [Publisher Link]
[17] Saurabh Srivastava, T.V. Prabhakar, “A Reference Architecture for Applications with Conversational Components,” IEEE 10th International Conference on Software Engineering and Service Science, pp. 1-5, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Sonali Rajguru et al., “Interview Preparation by Chatbots,” SSRG International Journal of Computer Science and Engineering, vol. 5, no. 12, pp. 14-15, 2018.
[CrossRef] [Publisher Link]
[19] M. Sarosa et al., “Developing a Social Media-Based Chatbot for English Learning,” IOP Conference Series: Materials Science and Engineering, vol. 732, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[20] David Kovacek, and James C L Chow, “An AI-Assisted Chatbot for Radiation Safety Education in Radiotherapy,” IOP SciNotes, vol. 2, no. 3, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Lucas Kohnke, “A Pedagogical Chatbot: A Supplemental Language Learning Tool,” RELC Journal, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Rahul Bagai, and Vaishali Mane, “Designing an AI-Powered Mentorship Platform for Professional Development: Opportunities and Challenges,” International Journal of Computer Trends and Technology, vol. 71, no. 4, pp. 108-114, 2023.
[CrossRef] [Publisher Link]
[23] Andri Muhyidin, Muhammad Adi Febri Setiawan, and Nurkhamid, “Developing UNYSA Chatbot as Information Services about Yogyakarta State University,” Journal of Physics: Conference Series, 3rd International Conference on Electrical, Electronics, Informatics, and Vocational Education, vol. 1737, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Rachel T. Alegado et al., “Design and Development of Chatbot Request System,” International Journal of Science and Applied Information Technology, vol. 11, no. 3, pp. 1-5, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Fani Safitri et al., “Usability Measurement: Chatbot as a Pedagogical Support for Learning French Grammar,” Advances in Social Science, Education and Humanities Research, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Samuel Holmes et al., “Usability Testing of a Healthcare Chatbot: Can we use Conventional Methods to Assess Conversational User Interfaces?,” 31st European Conference on Cognitive Ergonomics, pp. 207–214, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Daniel Braun, and Florian Matthes, “Towards a Framework for Classifying Chatbots,” 21st International Conference on Enterprise Information Systems, pp. 496–501, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Dmytro Kot, Getting Started with Blocks, Chatfuel, 2023. [Online]. Available: https://docs.chatfuel.com/en/articles/5953672-getting-started-with-blocks
[29] Dennis M. Barrios, Ramil G. Lumauag, and Jolitte A. Villaruz, “Machine Vision-Based Dried Danggit Sorter,” IEEE 4th International Conference on Computer and Communication Systems, pp. 289–293, 2019. [CrossRef] [Google Scholar] [Publisher Link]
[30] Ana Paula Chaves, and Marco Aurelio Gerosa, “How Should My Chatbot Interact? A Survey on Human-Chatbot Interaction Design,” International Journal of Human–Computer Interaction, vol. 37, no. 8, pp. 729-758, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Aditia Arga Pratama, and Achmad Benny Mutiara, “Software Quality Analysis for Halodoc Application using ISO 25010:2011,” International Journal of Advanced Computer Science and Applications, vol. 12, no. 8, 2021.
[Google Scholar] [Publisher Link]