A Review of AI Chatbots in Education Systems

Main Article Content

Krishna Kant Soni

Abstract

Artificial Intelligence (AI) has become a transformative technology in modern education systems. With the rapid growth of digital learning environments, educational institutions are increasingly adopting intelligent technologies to improve learning efficiency and accessibility. Among these technologies, AI-powered chatbots have emerged as valuable tools that simulate human conversation and provide instant responses to students’ queries. These chatbots assist students in academic learning, administrative tasks, and personalized educational support. Recent studies indicate that AI chatbots can significantly enhance student engagement, provide real-time assistance, and support adaptive learning environments [1][2]. This review paper examines the role of AI chatbots in education systems by analyzing their technologies, applications, benefits, challenges, and future trends. The paper also reviews recent research studies and identifies potential research gaps for further investigation.

Article Details

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Articles

How to Cite

A Review of AI Chatbots in Education Systems. (2026). Learning Nexus of Computing, 1(1), 1-5. https://lnctech.in/learning-nexus-computing/article/view/1

References

L. Labadze, M. Grigolia and L. Machaidze, “Role of AI Chatbots in Education: A Systematic Literature Review,” International Journal of Educational Technology, vol. 20, no. 3, pp. 45–58, 2023.

Y. Y. Munaye et al., “ChatGPT in Education: Opportunities and Challenges,” Education and Information Technologies, vol. 30, no. 2, pp. 1125–1142, 2025.

J. Pérez, T. Daradoumis and J. Puig, “Chatbots in Digital Learning Environments: A Review of Applications and Future Directions,” Computers & Education, vol. 190, pp. 104623, 2023.

D. Desai, “Reimagining Education Through Artificial Intelligence Chatbots,” Journal of Educational Technology, vol. 21, no. 1, pp. 15–27, 2024.

A. Kerly, R. Ellis and S. Bull, “Conversational Agents in E-Learning Systems,” in Artificial Intelligence in Education, vol. 121, pp. 169–182, 2022.

R. Winkler and M. Söllner, “Unleashing the Potential of Chatbots in Education: A State-of-the-Art Analysis,” Business & Information Systems Engineering, vol. 63, no. 2, pp. 123–134, 2021.

C. Okonkwo and A. Ade-Ibijola, “Chatbots Applications in Education: A Systematic Review,” Computers and Education: Artificial Intelligence, vol. 2, pp. 100033, 2021.

S. Hussain, J. Athula Ginige and V. Chang, “Conversational Agents in Educational Systems: Current Applications and Future Prospects,” IEEE Access, vol. 10, pp. 12345–12360, 2022.

M. Abedi et al., “Large Language Models in Engineering Education,” IEEE Transactions on Education, vol. 66, no. 4, pp. 421–430, 2023.

J. Lademann et al., “AI Custom Chatbots in Learning Systems,” Education Sciences, vol. 14, no. 2, pp. 178–189, 2024.

M. Garcia et al., “Chatbots for Programming Education Support,” Journal of Computer Assisted Learning, vol. 41, no. 1, pp. 56–70, 2025.

M. E. Koutsiaki et al., “Retrieval-Augmented Generation Chatbots in Higher Education,” AI in Education Journal, vol. 5, no. 1, pp. 25–38, 2025.

J. Huang et al., “Artificial Intelligence in Education: Emerging Trends and Applications,” Educational Technology & Society, vol. 25, no. 3, pp. 16–28, 2022.

Soni, L. N., Datar, A., & Datar, S. (2017). Implementation of Viola-Jones algorithm-based approach for human face detection. International Journal of Current Engineering and Technology, 7(5), 1819–1823.

W. Holmes, M. Bialik and C. Fadel, “Artificial Intelligence in Education: Promise and Implications for Teaching and Learning,” Center for Curriculum Redesign, pp. 1–48, 2021.

O. Zawacki-Richter et al., “Systematic Review of Artificial Intelligence Applications in Higher Education,” International Journal of Educational Technology in Higher Education, vol. 19, no. 1, pp. 1–27, 2022.

Soni, L., & Waoo, A. (2023). A review of recent advances methodologies for face detection. International Journal of Current Engineering and Technology, 13(2), 86–92.

Soni, L. N., Datar, A., & Datar, S. (2017). Viola-Jones algorithm-based approach for face detection of African-origin people and newborn infants. International Journal of Computer Trends and Technology (IJCTT), 51(2).

R. Winkler, “Chatbot-Based Learning Support Systems,” Computers in Human Behavior Reports, vol. 9, pp. 100245, 2023.

L. Chen, P. Chen and Z. Lin, “Artificial Intelligence in Education: A Review of Technologies and Applications,” IEEE Access, vol. 12, pp. 35678–35692, 2024.

Y. K. Dwivedi et al., “Generative AI and Education: Opportunities and Challenges,” Information Systems Frontiers, vol. 25, no. 4, pp. 1187–1202, 2023.

Soni, L. N., Datar, A., & Datar, S. (2017). Viola-Jones algorithm-based approach for face detection of African-origin people and newborn infants. International Journal of Computer Trends and Technology, 51(2).

Soni, L. N., Gautam, C. S., & Pandey, P. (2022). Clustering of big data using a genetic algorithm in Hadoop MapReduce. European Chemical Bulletin, 963–973.

Soni, L. N., & Waoo, A. A. (2023). Unveiling face detection techniques through mathematical insights. European Chemical Bulletin, 12 (Special Issue 4), 16895–16903.

Soni, L. N., & Waoo, A. A. (2025). Face detection under low-light and low-resolution conditions using contrast-limited adaptive histogram equalization and a modified convolutional neural network. Journal of Neonatal Surgery, 14.

Soni, L. N., & Waoo, A. A. (2024). A lightweight and efficient hybrid CNN model for face detection. International Journal of Environmental Sciences, 11(8s), 600–608.

Soni, L. N., Sarada, V., Sharma, S., Rajput, G., & Gupta, D. (2026). Management perspectives on knowledge-driven culture: The role of artificial intelligence and Internet of Things in innovation and governance. Scientific Culture, 12(2.1), 1182–1187.

Soni, L. N., & Waoo, A. A. (2024). Improving night vision with infrared and visible light sensor fusion. Journal of the Maharaja Sayajirao University of Baroda, 58(1 VIII), 1–8.

Agrawal, A., Soni, L. N., Waoo, A. A., & Vishwakarma, N. Detecting partial human faces using a hybrid model with deep learning techniques. Journal of the Maharaja Sayajirao University of Baroda, 58(1 VIII), 1–8.

Soni, L. N. (2024). LNSONI Human Face Dataset (Version 1). Mendeley Data. https://doi.org/10.17632/rbczppyyx8.1

Soni, L. N., & Waoo, A. A. (2026). LNS Occluded and Low-Light Human Face Detection Dataset (Version 3). Mendeley Data. https://doi.org/10.17632/s57wnx78vh.3

Sumathi, M. R., Soni, L. N., Reddy, D. B. L. L., & Nanthini, P. (2024). Deep learning algorithm for sentiment analysis of e-commerce. International Journal of Novel Research and Development (IJNRD), 10(5), f70.

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