Designing and evaluating three chatbot-enhanced activities for a flipped graduate course
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In other educational fields, using chatbots has shown improvements in students' knowledge, academic motivation, and learning satisfaction.
“In other educational fields, using chatbot has shown improvements in students’ knowledge, academic motivation, and learning satisfaction [18].”
From Analysis of the effect of an artificial intelligence chatbot educational program on non-face-to-face classes: a quasi-experimental study (2022) · cites this paper as [18]
Research conducted in Hong Kong on a chatbot educational program implemented for graduate students showed that learners benefited from increased motivation, satisfaction, and knowledge improvement through chatbot-assisted learning.
“Additionally, research conducted in Hong Kong on a chatbot educational program implemented for graduate students showed that learners benefited from increased motivation, satisfaction, and knowledge improvement through chatbot-assisted learning [24].”
From Development and effects of a chatbot education program for self-directed learning in nursing students (2025) · cites this paper as [24]
Chatbot-based education had a significant positive effect on learners' knowledge acquisition.
“Meanwhile, Huang et al. [24] reported that chatbot-based education had a significant positive effect on learners’ knowledge acquisition.”
From Development and effects of a chatbot education program for self-directed learning in nursing students (2025) · cites this paper as [24]
Studies found that chatbot education positively impacted learners' satisfaction with the learning experience.
“Additionally, it is consistent with studies [24, 35], which found that chatbot education positively impacted learners’ satisfaction with the learning experience.”
From Development and effects of a chatbot education program for self-directed learning in nursing students (2025) · cites this paper as [24]
Perceived value is commonly acknowledged as a robust predictor of technology acceptance.
“In the field of information system research, perceived value is commonly acknowledged as a robust predictor of technology acceptance [17,28,31,32,53,54].”
From ChatGPT in Learning: Assessing Students’ Use Intentions through the Lens of Perceived Value and the Influence of AI Literacy (2024) · cites this paper as [54]
Cites
Enhancing Student Engagement Using the Flipped Classroom
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A study of student satisfaction in a blended e-learning system environment
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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
Teacher communication preferred over peer interaction
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Are We There Yet? - A Systematic Literature Review on Chatbots in Education
Wollny, S., Schneider, J., Di Mitri, D., Weidlich, J., Rittberger, M., & Drachsler, H. (2021) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.654924 · Cited by 557 · see citing works
“Here, the MCQ Bot is an example that is designed to introduce students to transformative learning (W. Huang et al., 2019).”
BackgroundHan, J.-W., Park, J., & Lee, H. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03898-3 · Cited by 187 · see citing works
“In other educational fields, using chatbot has shown improvements in students’ knowledge, academic motivation, and learning satisfaction [18].”
BackgroundResultInfluentialAl-Abdullatif, A. M., & Alsubaie, M. A. (2024) · Behavioral Sciences · doi:10.3390/bs14090845 · Cited by 126 · see citing works
“In the field of information system research, perceived value is commonly acknowledged as a robust predictor of technology acceptance [17,28,31,32,53,54].”
Ruggiano, N., Brown, E. L., Roberts, L., Framil Suarez, C. V., Luo, Y., Hao, Z., & Hristidis, V. (2021) · Journal of Medical Internet Research · doi:10.2196/25006 · Cited by 100 · see citing works
“For instance, given the previous applications of chatbots to adult learning, chatbots could be used to educate and train caregivers on a variety of topics, especially those who feel isolated [38].”
Al-Abdullatif, A. M. (2023) · Education Sciences · doi:10.3390/educsci13111151 · Cited by 102 · see citing works
Han, J.-W., Park, J., & Lee, H. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07316-2 · Cited by 28 · see citing works
“Additionally, research conducted in Hong Kong on a chatbot educational program implemented for graduate students showed that learners benefited from increased motivation, satisfaction, and knowledge improvement through chatbot-assisted learning [24].”
- Authors
- Huang, W.
- Corresponding author
- Huang, Weijiao
- ORCID
- Huang, Weijiao
- Venue
- International Journal of Mechanical Engineering and Robotics Research
- Publisher
- EJournal Publishing
- Published
- 2019
- Pages
- 813-818
- ISSN
- 2278-0149 (ISSN-L)
- OpenAlex
- W3024719446
- Cited by
- 62
- References
- 17
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 8 · 2023: 18 · 2022: 7 · 2021: 11 · 2020: 3 · 2019: 1
- FWCI
- 14.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Mechanical Engineering and Robotics Research (publishedVersion)
- Topics
- Social Sciences › Education › Innovative Teaching Methods
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- chatbots, flipped classroom, graduate education, activity design, activity evaluation, engineering education
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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