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Integrating Deep Learning and NLP in AI Chatbots for Education and Mental Health: A State-of-the-Art Review
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
DOI: https://doi.org/10.64388/IREV9I7-1713505
Abstract
Artificial Intelligence (AI)?based chatbot?solutions have been capturing increasing attention as tools from which to re-imagine education and mental health support infrastructures. Through a combination of Natural Language Processing (NLP) and deep learning methods, such agents are able?to deliver personalized learning support as well as administrative assistance and initial mental health counseling. The present survey reviews the most recent work (mainly in years 2023?2025) on AI-based chatbots for education and psychology, covering architectures, datasets,?evaluation measures as well as pros and cons and ethical issues. This review highlights research gaps and suggests future work aimed?at building integrated, ethical and human-centered chatbot systems in higher education.
Keywords
AI Chatbots, Natural Language Processing, Deep Learning, Education, Mental Health, Conversational Agents.
How to cite this paper
@article{1713505,
author = {Navjot Kaur, Dr. Rajinder Kumar (Associate Professor)},
title = {Integrating Deep Learning and NLP in AI Chatbots for Education and Mental Health: A State-of-the-Art Review},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {7},
pages = {864-868},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1713505.pdf},
abstract = {Artificial Intelligence (AI)?based chatbot?solutions have been capturing increasing attention as tools from which to re-imagine education and mental health support infrastructures. Through a combination of Natural Language Processing (NLP) and deep learning methods, such agents are able?to deliver personalized learning support as well as administrative assistance and initial mental health counseling. The present survey reviews the most recent work (mainly in years 2023?2025) on AI-based chatbots for education and psychology, covering architectures, datasets,?evaluation measures as well as pros and cons and ethical issues. This review highlights research gaps and suggests future work aimed?at building integrated, ethical and human-centered chatbot systems in higher education.},
keywords = {AI Chatbots, Natural Language Processing, Deep Learning, Education, Mental Health, Conversational Agents.},
month = {January},
doi = {https://doi.org/10.64388/IREV9I7-1713505}
}