Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREMWP008
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Utilizing AI and NLP, the Smart Tutor system offers students individualized learning support. It is a state-of-the-art teaching platform. Through sophisticated processing of student queries and the delivery of precise and contextual responses, the system is aimed to mimic human-like teaching. The knowledge-driven tutoring framework it builds includes features including answer extraction, model training, document feeding, and preprocessing. The Smart Tutor improves education by facilitating efficient question answering, adaptable pedagogy, and real-time interaction. Offering scalable, accessible, and efficient education support, this system aspires to bridge the gap between modern intelligent tutoring systems and traditional classroom learning.
KEYWORDS
Publication Date
9/3/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...