Chatbots in Healthcare Curricula: The Case of a Conversational Virtual Patient
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The use of chatbots has been increasingly reported; Gorashi et al. analyzed their strengths, weaknesses, opportunities, and threats in this context; chatbots have assisted students in history-taking practice and preparing for objective structured clinical examinations (OSCE); in one study comparing the use of ChatGPT with a traditional textbook for learning medical terminology, ChatGPT provided
“The use of chatbots has been increasingly reported [40, 112–115]. Gorashi et al. analyzed their strengths, weaknesses, opportunities, and threats in this context [107]. Chatbots have assisted students in history-taking practice [116] and preparing for objective structured clinical examinations (OSCE) [117]. In one study comparing the use of ChatGPT with a traditional textbook for learning medical”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [114]
Cites
(2001) · Cited by 13,930 · see citing works
Critical Inquiry in a Text-Based Environment: Computer Conferencing in Higher Education
Garrison, D. R., Anderson, T., & Archer, W. (1999) · The Internet and Higher Education · doi:10.1016/s1096-7516(00)00016-6 · Cited by 6,619 · see citing works
Dynamics of affective states during complex learning
D’Mello, S. K., & Graesser, A. C. (2011) · Learning and Instruction · doi:10.1016/j.learninstruc.2011.10.001 · Cited by 1,101 · see citing works
Unleashing the Potential of Chatbots in Education: A State-Of-The-Art Analysis
Winkler, R., & Soellner, M. (2018) · Academy of Management Proceedings · doi:10.5465/ambpp.2018.15903abstract · Cited by 581 · see citing works
2020 EDUCAUSE Horizon Report: Teaching and Learning Edition.
Brown, M., McCormack, M., Reeves, J., Brook, D. C., Grajek, S., Alexander, B., Bali, M., Bulger, S. R., Dark, S., Engelbert, N., et al. (2020) · Bibliothèque et Archives nationales du Québec (Québec government) · Cited by 502 · see citing works
Prompting Middle School Science Students for Productive Reflection: Generic and Directed Prompts
Davis, E. A. (2003) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1201_4 · Cited by 429 · see citing works
Nguyên, Q. D., Fernández, N., Karsenti, T. P., & Charlin, B. (2014) · Medical Education · doi:10.1111/medu.12583 · Cited by 309 · see citing works
Authentic activities and online learning
Reeves, T. C., Herrington, J., & Oliver, R. (2002) · Murdoch University Research Portal · Cited by 291 · see citing works
Teacherbot: interventions in automated teaching
Bayne, S. (2015) · Teaching in Higher Education · doi:10.1080/13562517.2015.1020783 · Cited by 233 · see citing works
Introduction to Natural Language Processing
Podrebarac, A. A. (2019) · Routledge eBooks · doi:10.4324/9781351027946-15 · Cited by 176 · see citing works
Different measurements metrics to evaluate a chatbot system
Shawar, B. A., & Atwell, E. (2007) · doi:10.3115/1556328.1556341 · Cited by 151 · see citing works
Models of natural language understanding.
Bates, M. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.22.9977 · Cited by 148 · see citing works
Chatbots and conversational agents: A bibliometric analysis
Io, H. N., & Lee, C. B. (2017) · IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) · doi:10.1109/ieem.2017.8289883 · Cited by 145 · see citing works
An intelligent discussion-bot for answering student queries in threaded discussions
Feng, D., Shaw, E., Kim, J., & Hovy, E. H. (2006) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/1111449.1111488 · Cited by 114 · see citing works
CALMsystem: A Conversational Agent for Learner Modelling
Kerly, A., Ellis, R., & Susan Bull, A. (2007) · Knowledge-Based Systems · doi:10.1016/j.knosys.2007.11.015 · Cited by 113 · see citing works
A Teachable Agent Game Engaging Primary School Children to Learn Arithmetic Concepts and Reasoning
Pareto, L. (2014) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-014-0018-8 · Cited by 89 · see citing works
Virtual patients: A year of change
Poulton, T., & Balasubramaniam, C. (2011) · Medical Teacher · doi:10.3109/0142159x.2011.613501 · Cited by 75 · see citing works
Abbasi, S., & Kazi, H. (2014) · Asian Journal of Applied Science and Engineering · doi:10.15590/ajase/2014/v3i7/53576 · Cited by 67 · see citing works
Dias, S. B., & Diniz, J. A. (2013) · Computers & Education · doi:10.1016/j.compedu.2013.06.016 · Cited by 62 · see citing works
Roter, D., Larson, S. M., Beach, M., & Cooper, L. (2008) · Patient Education and Counseling · doi:10.1016/j.pec.2007.10.019 · Cited by 57 · see citing works
Hobert, S., & von Wolff, R. M. (2019) · Journal of the Association for Information Systems · Cited by 56 · see citing works
Automatic generation of emotions in tutoring agents for affective e-learning in medical education
Alepis, E., & Virvou, M. K. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.02.021 · Cited by 54 · see citing works
Campillos-Llanos, L., Thomas, C., Bilinski, É., Zweigenbaum, P., & Rosset, S. (2020) · Natural Language Engineering · doi:10.1017/s1351324919000329 · Cited by 34 · see citing works
Virtual Patients on the Semantic Web: A Proof-of-Application Study
Dafli, E., Antoniou, P. E., Ioannidis, L., Dombros, N., Topps, D., & Bamidis, P. D. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3933 · Cited by 32 · see citing works
Self-citationCALMsystem: A Conversational Agent for Learner Modelling
Kerly, A., Ellis, R., & Susan Bull, A. (2007) · Springer eBooks · doi:10.1007/978-1-84800-086-5_7 · Cited by 28 · see citing works
From Interactive Open Learner Modelling to Intelligent Mentoring: STyLE-OLM and Beyond
Dimitrova, V. G., & Brna, P. (2015) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-015-0087-3 · Cited by 26 · see citing works
Introduction To Natural Language Processing
Eisenstein, J. (2021) · Cited by 25 · see citing works
Affective Learning: Principles, Technologies, Practice
Bamidis, P. D. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-67615-9_1 · Cited by 20 · see citing works
Self-citationAdaptive Tutoring in an Intelligent Conversational Agent System
Latham, A., Crockett, K. A., McLean, D., & Edmonds, B. (2012) · Transactions on computational science · doi:10.1007/978-3-642-34645-3_7 · Cited by 19 · see citing works
A novel approach to virtual patient simulation using natural language processing
Persad, A. R. L., Stroulia, E., & Forgie, S. E. D. (2016) · Medical Education · doi:10.1111/medu.13197 · Cited by 13 · see citing works
Sentiment analysis on educational datasets: a comparative evaluation of commercial tools
Dolianiti, F. S., Iakovakis, D., Dias, S. B., Hadjileontiadou, S. J., Diniz, J. A., Natsiou, G., Tsitouridou, M., Bamidis, P. D., & Hadjileontiadis, L. J. (2019) · doi:10.26220/une.2987 · Cited by 11 · see citing works
Self-citationUsing Conversational Agents To Support Learning By Teaching
Chhibber, N., & Law, E. (2019) · arXiv · doi:10.48550/arxiv.1909.13443 · Cited by 11 · see citing works
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Large Language Model‐Based Chatbots in Higher Education
Yigci, D., Eryilmaz, M., Yetisen, A. K., Tasoglu, S., & Ozcan, A. (2025) · Advanced Intelligent Systems · doi:10.1002/aisy.202400429 · Cited by 113 · see citing works
Smith, A., Hachen, S., Schleifer, R., Bhugra, D., Buadze, A., & Liebrenz, M. (2023) · International Journal of Social Psychiatry · doi:10.1177/00207640231178451 · Cited by 57 · see citing works
Artificial intelligence in undergraduate medical education: an updated scoping review
Simoni, J., Urtubia-Fernandez, J., Mengual, E., Simoni, D. A., Royo, M., Egaña-Yin, D., Hertog, O. L. A., López-Ortiz, L., Muñoz-Tomás, A., Santiago-Martínez, P., et al. (2025) · BMC Medical Education · doi:10.1186/s12909-025-08188-2 · Cited by 62 · see citing works
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Hale, J., Alexander, S., Wright, S. T., & Gilliland, K. (2024) · Journal of Medical Education and Curricular Development · doi:10.1177/23821205241266697 · Cited by 46 · see citing works
Maicher, K. R., Stiff, A., Scholl, M., White, M., Fosler-Lussier, E., Schuler, W., Serai, P., Sunder, V., Forrestal, H., Mendella, L., et al. (2023) · Medical Teacher · doi:10.1080/0142159x.2022.2130216 · Cited by 44 · see citing works
Designing and building OSCEBot ® for virtual OSCE – Performance evaluation
Pereira, D. S. M., Falcão, F., Nunes, A., Santos, N., Costa, P., & Pêgo, J. M. (2023) · Medical Education Online · doi:10.1080/10872981.2023.2228550 · Cited by 42 · see citing works
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Babatunde, A. O., Togunwa, T. O., Awosiku, O. V., Siddiqui, M. F., Rabiu, A. T., Akintola, A. A., Dauda, B. J., & Aborode, A. T. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1024203 · Cited by 17 · see citing works
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- Authors
- Dolianiti, F., Tsoupouroglou, I., Antoniou, P., Konstantinidis, S., Anastasiades, S., & Bamidis, P.
- Affiliations
- Aristotle University of Thessaloniki (GR)
- University of Nottingham (GB)
- Corresponding author
- Antoniou, Panagiotis
- ORCID
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 137-147
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3090450303
- Cited by
- 37
- References
- 33
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 7 · 2023: 6 · 2022: 9 · 2021: 7
- FWCI
- 2.83
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- chatbots, medical education, thromboembolism, clinical decision-making, natural language processing, machine learning in education, participatory design, co-creation, requirement elicitation
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