“A review on techniques, characteristics and approaches of an intelligent tutoring chatbot system,”
Abstract
Today is the age of Advancement in the various types of machines or devices. And due to this advance. Attribute the difference between human and machine decrease. And the technology, of the computer-based learning system, are integrating more towards Advance tools and technologies like (A.I, N.L.P.)”, such a system is known as an intelligent-tutoring system or conversation system, like a chatbot. It is necessary that with rapidly changing technology, teaching and learning methods of the education system should adapt to increase and enhance the capabilities of teachers and abilities of the students. Therefore, the intelligent tutoring system (Chatbot) using natural language which allows humans to interact with a computer is one of the best alternatives of these requirements where the human tutor is replacing with a virtual tutor. Nowadays, an intelligent tutoring system(Chatbots) are in high demands in our various fields like teaching and learning in education, business, e-comm, online trading, public health care, and sports etc. Different techniques and processes are involved in designing and developing chatbots. This review paper aims to take a survey of the critical and necessary methods used in this communication and conversational agents.
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Presently, a significant number of frameworks in interactive tutoring aids use chatbots as a proxy for a teacher or a teaching assistant.
“Presently, a significant number of frameworks belonging to this category uses chatbots as a proxy for a teacher or a teaching assistant (Ashfaque et al., 2020).”
From Proactive and reactive engagement of artificial intelligence methods for education: a review (2023) · cites this paper as Ashfaque et al., 2020
Cites
Computing Machinery and Intelligence
Turing, A. M. (2007) · Springer eBooks · doi:10.1007/978-1-4020-6710-5_3 · Cited by 1,439 · see citing works
Computing Machinery and Intelligence (1950)
Turing, A. M. (2021) · The MIT Press eBooks · doi:10.7551/mitpress/12274.003.0016 · Cited by 1,070 · see citing works
Hill, J., Randolph Ford, W., & Farreras, I. G. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.026 · Cited by 856 · see citing works
A New Chatbot for Customer Service on Social Media
Xu, A., Liu, Z., Guo, Y., Sinha, V. S., & Akkiraju, R. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025496 · Cited by 589 · see citing works
SuperAgent: A Customer Service Chatbot for E-commerce Websites
Cui, L., Huang, S., Wei, F., Tan, C., Duan, C., & Zhou, M. (2017) · Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) · doi:10.18653/v1/p17-4017 · Cited by 357 · see citing works
Oh, K.-J., Lee, D., Ko, B., & Choi, H.-J. (2017) · 2017 18th IEEE International Conference on Mobile Data Management (MDM) · doi:10.1109/mdm.2017.64 · Cited by 285 · see citing works
AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine
Qiu, M., Li, F.-L., Wang, S., Gao, X., Chen, Y., Zhao, W., Chen, H., Huang, J., & Chu, W. (2017) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/p17-2079 · Cited by 197 · see citing works
Talking to Bots: Symbiotic Agency and the Case of Tay
Neff, G. (2016) · International journal of communication · Cited by 196 · see citing works
Towards an open-domain conversational system fully based on natural language processing
Higashinaka, R., Imamura, K., Meguro, T., Miyazaki, C., Kobayashi, N., Sugiyama, H., Hirano, T., Makino, T., & Matsuo, Y. (2014) · International Conference on Computational Linguistics · Cited by 158 · see citing works
CSIEC: A computer assisted English learning chatbot based on textual knowledge and reasoning
Jia, J. (2009) · Knowledge-Based Systems · doi:10.1016/j.knosys.2008.09.001 · Cited by 153 · see citing works
Pharmabot: A Pediatric Generic Medicine Consultant Chatbot
Comendador, B. E. V., Francisco, B. M. B., Medenilla, J. S., Nacion, S. M. T., & Serac, T. B. E. (2015) · Journal of Automation and Control Engineering · doi:10.12720/joace.3.2.137-140 · Cited by 150 · see citing works
MANDY: Towards a Smart Primary Care Chatbot Application
Ni, L., Lu, C., Liu, N., & Liu, J. (2017) · Communications in computer and information science · doi:10.1007/978-981-10-6989-5_4 · Cited by 126 · see citing works
Freudbot: An Investigation of Chatbot Technology in Distance Education
Heller, B., Proctor, M., Mah, D., Jewell, L. M., & Cheung, B. (2005) · EdMedia: World Conference on Educational Media and Technology · Cited by 117 · see citing works
OntBot: Ontology based chatbot
Al-Zubaide, H., & Issa, A. A. (2011) · doi:10.1109/isiict.2011.6149594 · Cited by 113 · see citing works
Zemčík, T. (2019) · DEStech Transactions on Computer Science and Engineering · doi:10.12783/dtcse/aicae2019/31439 · Cited by 112 · see citing works
A Self-Diagnosis Medical Chatbot Using Artificial Intelligence
Divya, S., Indumathi, Ishwarya, S., et al. (2018) · Cited by 98 · see citing works
SHIHbot: A Facebook chatbot for Sexual Health Information on HIV/AIDS
Brixey, J., Hoegen, R., Lan, W., Rusow, J. A., Singla, K., Yin, X., Artstein, R., & Leuski, A. (2017) · Annual Meeting of the Special Interest Group on Discourse and Dialogue · doi:10.18653/v1/w17-5544 · Cited by 75 · see citing works
Enhancing Community Interactions with Data-Driven Chatbots--The DBpedia Chatbot
Athreya, R. G., Ngomo, A.-C. N., & Usbeck, R. (2018) · International World Wide Web Conference (WWW) · doi:10.1145/3184558.3186964 · Cited by 65 · see citing works
MedChatBot: An UMLS based Chatbot for Medical Students
Kazi, H., Chowdhry, B. S., & Memon, Z. (2012) · International Journal of Computer Applications · doi:10.5120/8844-2886 · Cited by 59 · see citing works
Android based educational Chatbot for visually impaired people
Kumar, M. N., Chandar, P. C. L., Prasad, A. V., & Sumangali, K. (2016) · IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) · doi:10.1109/iccic.2016.7919664 · Cited by 59 · see citing works
E-Commerce Website based on Chatbot
Sharma, P. K., Patel, D., Wankhede, V., et al. (2023) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2023.50995 · Cited by 47 · see citing works
Art-Bots: Toward Chat-Based Conversational Experiences in Museums
Vassos, S., Malliaraki, E., Falco, F. D., et al. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-48279-8_43 · Cited by 44 · see citing works
Hsu, P., Zhao, J., Liao, K., Liu, T., & Wang, C. (2017) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3027063.3049270 · Cited by 42 · see citing works
Emulating Human Supervision in an Intelligent Tutoring System for Arithmetical Problem Solving
Arnau, D., Arevalillo‐Herráez, M., & González‐Calero, J. A. (2014) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2014.2307306 · Cited by 36 · see citing works
Conversation-Based Natural Language Interface to Relational Databases
Owda, M., Bandar, Z. A., & Crockett, K. A. (2007) · doi:10.5555/1339264.1339727 · Cited by 30 · see citing works
Botta: An Arabic Dialect Chatbot
Ali, D. A., & Habash, N. Y. (2016) · International Conference on Computational Linguistics · Cited by 30 · see citing works
Conversation-Based Natural Language Interface to Relational Databases
Owda, M., Bandar, Z. A., & Crockett, K. A. (2007) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iatw.2007.60 · Cited by 22 · see citing works
Octopus: A Multi Agent Chatbot
Hettige, B., & Karunananda, A. (2015) · Cited by 20 · see citing works
Case Study: Building a Serverless Messenger Chatbot
Lehvä, J., Mäkitalo, N., & Mikkonen, T. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-74433-9_6 · Cited by 18 · see citing works
McClendon, J. L., Mack, N. A., & Hodges, L. F. (2014) · The Florida AI Research Society · Cited by 11 · see citing works
Student Model for an Intelligent Language Tutoring System
Reddy, P. D., & Sasikumar, M. (2014) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2014.132 · Cited by 10 · see citing works
Flowchart-based Bayesian Intelligent Tutoring System for computer programming
Hooshyar, D., Ahmad, R. B., Fathi, M., et al. (2015) · International Conference on Smart Sensors and Application (ICSSA) · doi:10.1109/icssa.2015.7322528 · Cited by 9 · see citing works
Adjustment levels for Intelligent Tutoring System using modified items response theory
Widiastuti, I., & Fanani, N. Z. (2014) · doi:10.1109/icitacee.2014.7065745 · Cited by 2 · see citing works
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Mallik, S., & Gangopadhyay, A. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1151391 · Cited by 139 · see citing works
Students’ attitudes towards using ChatGPT as a learning tool: the case of the University of Jordan.
O. Ajlouni, A., Abd-Alkareem Wahba, F., & Salem Almahaireh, A. (2023) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v17i18.41753 · Cited by 116 · see citing works
Alario-Hoyos, C., Kemcha, R., Kloos, C. D., Callejo, P., Estévez-Ayres, I., Santín-Cristóbal, D., Cruz-Argudo, F., & López-Sánchez, J. L. (2024) · 2024 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE) · doi:10.1109/tale62452.2024.10834365 · Cited by 8 · see citing works
- Authors
- Ashfaque, M. W., Tharewal, S., Iqhbal, S., & Kayte, C. N.
- Affiliations
- Dr. Babasaheb Ambedkar Marathwada University (IN)
- Al-Buraimi University College (OM)
- Government Institute of Forensic Science (IN)
- Venue
- 2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC)
- Publisher
- IEEE
- Published
- 2020-10-30
- Pages
- 258-262
- OpenAlex
- W3121078114
- Cited by
- 52
- References
- 33
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 17 · 2023: 10 · 2022: 5 · 2021: 3 · 2017: 1
- FWCI
- 1.72
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- intelligent tutoring systems, chatbots, virtual tutors, natural language processing, human-computer interaction, computer-assisted instruction
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