How chatbots can be involved in the education process
Abstract
Chatbots become more and more popular in the human-machine interactions, because they enable to communicate with the system by the human language, which is a very intuitive and user-friendly. Moreover, chatbots can provide information without time-demanding searching and hide its complexity. Three chatbots were developed for supporting education on the Department of electronics and multimedia telecommunications. First one is the KEMTbot, which is a bot located on the department web page. It provides information from the web and about department staff. The second chatbot is a bot that supports students during the exercises from the subject “Databases”. The last one is a chatbot-like Amazon Alexa skill, which answers questions about the department on Amazon Echo devices.
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Some teaching agents recommended tutorials to students based upon learning styles, students' historical learning, and pattern matching.
“some teaching agents recommended tutorials to students based upon learning styles (Redondo-Hernández & Pérez-Marín, 2011), students' historical learning (Coronado et al., 2018), and pattern matching (Ondáš et al., 2019).”
From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Ondáš et al., 2019
About 62.5% of the students in Ondáš et al. (2019) said they would use the chatbot again.
“About 62.5% of the students said they would use the chatbot again.”
From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Ondáš et al., 2019
The students in Ondáš et al. (2019) found the chatbot tool helpful and efficient.
“The students found the tool helpful and efficient, albeit they wanted more features such as more information about courses and departments.”
From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Ondáš et al., 2019
The students in Ondáš et al. (2019) wanted more features such as more information about courses and departments.
“The students found the tool helpful and efficient, albeit they wanted more features such as more information about courses and departments.”
From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Ondáš et al., 2019
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- Authors
- Ondas, S., Pleva, M., & Hladek, D.
- Venue
- 2019 17th International Conference on Emerging eLearning Technologies and Applications (ICETA)
- Publisher
- IEEE
- Published
- 2019-11
- Pages
- 575-580
- OpenAlex
- W3011694294
- Cited by
- 65
- References
- 7
- Citations by year
- 2026: 1 · 2025: 9 · 2024: 16 · 2023: 16 · 2022: 9 · 2021: 12 · 2020: 2
- FWCI
- 2.20
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Conference on Emerging eLearning Technologies and Applications (ICETA) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- chatbots, educational chatbots, human-machine interaction, database education, voice assistants, information retrieval, web information retrieval, student support
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