International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 4 (July-August 2026) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 4
July-August 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Autonomous AI Teaching Assistants for Digital Education: Architecture, Applications, Challenges, and Future Directions

Author(s) Dr. Sanikommu Srinivasu, Dr. P Nageshwar, Dr. A Innareddy, Ms. Devireddy Shailaja, Dr. P Jagadeesh
Country India
Abstract The rapid advancement of artificial intelligence (AI), particularly large language models (LLMs) and agentic AI, has transformed digital education by enabling autonomous AI teaching assistants capable of supporting students and educators throughout the learning process. Unlike conventional chatbots, autonomous AI teaching assistants can understand learner requirements, plan instructional activities, retrieve knowledge from multiple sources, provide personalized feedback, monitor learning progress, and continuously improve through interaction. This paper explores the architecture, technologies, applications, challenges, and future directions of autonomous AI teaching assistants in digital education. It discusses the integration of natural language processing, machine learning, retrieval-augmented generation (RAG), multi-agent collaboration, and learning analytics to create intelligent educational systems. The paper also examines ethical concerns, privacy issues, bias, transparency, and responsible AI practices. Finally, future research opportunities are presented for adaptive learning, multimodal tutoring, lifelong learning, and human–AI collaboration in higher education.
Keywords Agentic AI, Artificial Intelligence, Teaching Assistant, Digital Education, Personalized Learning, Large Language Models, Educational Technology.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 4, July-August 2026
Published On 2026-07-17
DOI https://doi.org/10.36948/ijfmr.2026.v08i04.83959
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 4Cover Page Vol 8 Isu 3Cover Page Vol 8 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals