Proposal of an Architecture for the Integration of a Chatbot with Artificial Intelligence in a Smart Campus for the Improvement of Learning
Open accessAbstract
Traditional teaching based on masterclasses or techniques where the student develops a passive role has proven to be inefficient methods in the learning process. The use of technology in universities helps to generate active learning where the student’s interest improves making him the main actor in his education. However, implementing an environment where active learning takes place requires a great deal of effort given the number of variables involved in this objective. To identify these variables, it is necessary to analyze the data generated by the students in search of patterns that allow them to be classified according to their needs. Once these needs are identified, it is possible to make decisions that contribute to the learning of each student; for this, the use of artificial intelligence is considered. These techniques emulate the processes of human thought using structures that contain knowledge and experience of human experts.
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By providing real-time analytics and insights, AI can help educators identify students' strengths, weaknesses, and learning patterns, allowing them to adjust their teaching strategies accordingly.
“By providing real-time analytics and insights, AI can help educators identify students' strengths, weaknesses, and learning patterns, allowing them to adjust their teaching strategies accordingly [70].”
From New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023) · cites this paper as [70]
Lack of assessments and exercises coupled with absence of feedback mechanism negatively affected the chatbot's success.
“Villegas-Ch et al. (2020) noted that the lack of assessments and exercises coupled with the absence of the feedback mechanism negatively affected the chatbot's success.”
From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Villegas-Ch et al., 2020
The study by Villegas-Ch et al. (2020) reported improved task completeness.
“| (Villegas-Ch et al., 2020) | Teaching agent, chatbot driven N/A | Improved Task completeness | |”
From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Villegas-Ch et al., 2020
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Chiu, T. K. F. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2023.2253861 · Cited by 852 · see citing works
“For example, they used student data to predict the probability of students discontinuing their courses and assist students with course/activity selection (Cukurova et al., 2020; Tsai et al., 2020; Villegas-Ch et al., 2020).”
Interacting with educational chatbots: A systematic review
Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023) · Education and Information Technologies · doi:10.1007/s10639-022-11177-3 · Cited by 841 · see citing works
Artificial Intelligence for Student Assessment: A Systematic Review
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Rediscovering the use of chatbots in education: A systematic literature review
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“Chatbots have the potential to transform the educational landscape by engaging learners, customizing learning experiences, assisting instructors, providing deep insight into learner behavior, and creating a more personalized, engaging learning environment for students (Gonda et al., 2018; Cunningham-Nelson et al., 201…”
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Effects of different AI-driven Chatbot feedback on learning outcomes and brain activity
Yin, J., Xu, H., Pan, Y., & Hu, Y. (2025) · npj Science of Learning · doi:10.1038/s41539-025-00311-8 · Cited by 41 · see citing works
Gerlich, M. (2025) · IEEE Engineering Management Review · doi:10.1109/emr.2024.3441468 · Cited by 8 · see citing works
- Authors
- Villegas-Ch, W., Arias-Navarrete, A., & Palacios-Pacheco, X.
- Affiliations
- Universidad de Las Américas (EC)
- Universidad Internacional del Ecuador (EC)
- Corresponding author
- Villegas-Ch, William
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2020-02-18
- Volume
- 12
- Issue
- 4
- Pages
- 1500
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3007728642
- Cited by
- 152
- References
- 0
- Citations by year
- 2026: 13 · 2025: 29 · 2024: 35 · 2023: 23 · 2022: 23 · 2021: 16 · 2020: 13
- FWCI
- 17.66
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Edcuational Technology Systems
- Keywords
- chatbots, smart campus, active learning, student engagement, student data analysis, personalized learning, artificial intelligence in education
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