Deep Convolutional Neural Network-Based Adaptive Chatbot Framework for Personalized Educational Support in Autism Spectrum Disorder
Abstract
Autism Spectrum Disorder (ASD) presents significant challenges in personalized learning due to heterogeneous cognitive, behavioral, and communication profiles among learners. Traditional educational systems often fail to provide adaptive and scalable individualized support. This research proposes a Deep Convolutional Neural Network (DCNN)-based adaptive chatbot framework designed to deliver personalized educational assistance for individuals with ASD. The system integrates deep learning-driven natural language understanding, contextual adaptation mechanisms, and behavior-aware response generation to enhance engagement and learning effectiveness.
The framework builds upon recent advancements in chatbot architectures and AI-based educational systems (Dhyani & Kumar, 2019; Kasthuri & Balaji, 2021). It also incorporates insights from domain-specific conversational AI systems trained on limited datasets (Kapočiute-Dzikiene, 2020) and ASD-oriented chatbot applications (Li et al., 2020). The proposed system further leverages architectural optimization strategies inspired by channel optimization techniques in deep learning-based chatbot frameworks (Alruily, 2022).
Experimental evaluation through simulated learning environments demonstrates that the proposed model improves response relevance, engagement consistency, and personalized learning alignment compared to conventional rule-based and hybrid chatbot systems. The study contributes to the development of AI-driven inclusive education systems by bridging gaps in accessibility, adaptability, and emotional intelligence in educational chatbots for ASD learners.
Keywords
References
Most read articles by the same author(s)
- Dr. Ayesha Siddiqui, ENHANCED IDENTIFICATION OF EQUATORIAL PLASMA BUBBLES IN AIRGLOW IMAGERY VIA 2D PRINCIPAL COMPONENT ANALYSIS AND INTERPRETABLE AI , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 02 (2025): Volume 02 Issue 02
- Dr. Alejandro Moreno, An Explainable, Context-Aware Zero-Trust Identity Architecture for Continuous Authentication in Hybrid Device Ecosystems , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Marcus T. Feldman, RECONSTRUCTING TRUST IN RFID INFRASTRUCTURES: A COMPREHENSIVE ANALYSIS OF SECURITY, PRIVACY, AND AUTHENTICATION IN CONTEMPORARY RADIO FREQUENCY IDENTIFICATION SYSTEMS , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Serhii Yakhin, Comparative Review of Clean Architecture and Vertical Slice Architecture Approaches for Enterprise .NET Applications , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Ashis Ghosh, FAILURE-AWARE ARTIFICIAL INTELLIGENCE: DESIGNING SYSTEMS THAT DETECT, CATEGORIZE, AND RECOVER FROM OPERATIONAL FAILURES , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Prof. Michael T. Edwards, ENHANCING AI-CYBERSECURITY EDUCATION: DEVELOPMENT OF AN AI-BASED CYBERHARASSMENT DETECTION LABORATORY EXERCISE , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 02 (2025): Volume 02 Issue 02
- Dr. Khalid Al-Harbi, Dr. Noor Al-Mazrouei, Analyzing Transparency in Prediction Approaches for Power Regulation Trading Systems , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Dr. Amir Reza Khosravi, Dr. Sara Mohammadi, Advanced Cognitive State Analysis of Insomnia Using Computational Architecture for Modeling Thought and Awareness Disruption , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 05 (2026): Volume 03 Issue 05
- Iskandarova Ziyoda Abdumajidovna, Iskandarova Saodat Abdumajidovna, Digital Transformation in Small and Medium Enterprises: Challenges, Strategies, And Performance Outcomes , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Dr. Mateo Alvarez, Integrative Perspectives On Identity, Authentication, And Privacy: From RFID Security Protocols To Facial Biometric Representations , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 01 (2026): Volume 03 Issue 01
Similar Articles
- Severov Arseni Vasilievich, Artyom V. Smirnov, Architecting Real-Time Risk Stratification in the Insurance Sector: A Deep Convolutional and Recurrent Neural Network Framework for Dynamic Predictive Modeling , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Dr. Ethan Michael Laurent, Next Generation Resource Scheduling Architecture via Neural Computing Based Forecast Models , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. James William Carter, Dr. Emily Rose Thompson, Class-Imbalance Aware Deep Learning Framework for Accurate Rice Seed Germination Classification and Robust Seedling Identification , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 05 (2026): Volume 03 Issue 05
- Dr. Kwame Mensah, Dr. Ama Owus, Explainable Deep Ensemble Learning for Multi-Class Cyberattack Detection in Heterogeneous Drone–Industrial IoT Networks , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Pham Minh Tuan, CNN-Driven Kinematic Modeling Framework for Human Upper Limb Motion Imitation and Functional Replication , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Dr. Amir Reza Khosravi, Dr. Sara Mohammadi, Advanced Cognitive State Analysis of Insomnia Using Computational Architecture for Modeling Thought and Awareness Disruption , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 05 (2026): Volume 03 Issue 05
- Dr. Elias A. Petrova, AN EDGE-INTELLIGENT STRATEGY FOR ULTRA-LOW-LATENCY MONITORING: LEVERAGING MOBILENET COMPRESSION AND OPTIMIZED EDGE COMPUTING ARCHITECTURES , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Dr. Erion Hoxha, Dr. Elira Dervishi, Global Firefly Optimization Model for IoT Attack Detection , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Kenji Yamamoto, Prof. Lijuan Wang, LEVERAGING DEEP LEARNING IN SURVIVAL ANALYSIS FOR ENHANCED TIME-TO-EVENT PREDICTION , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 05 (2025): Volume 02 Issue 05
- Dr. Michael Lawson, Dr. Victor Almeida, Securing Deep Neural Networks: A Life-Cycle Perspective On Trojan Attacks And Defensive Measures , International Journal of Advanced Artificial Intelligence Research: Vol. 1 No. 01 (2024): Volume 01 Issue 01
You may also start an advanced similarity search for this article.