AI Assisted Teaching Support for Answering Frequently Asked Questions and Generating Educational Content

This research describes a high-tech AI-powered system that answers student inquiries and creates useful material to improve learning. We use AI and NLP to vectorize student inquiries using word embeddings and match them with commonly requested questions. Students utilize cosine resemblance to get the best solutions with instructor assistance. Feedback loops and gradient descent improve the system's accuracy and relevance. The system answers questions and creates lessons by highlighting key concepts and building on them using NLP. Multimedia makes learning entertaining and personalized. Performance studies reveal that the system outperforms existing approaches in content accuracy, reaction time, and scenario relevance. You can simply extend and alter the approach, and it works well with many teaching resources, making it safe and successful in many learning contexts. Results suggest that an AI-powered approach may improve education by providing speedy, accurate, and relevant responses. This will affect educational information delivery and utilization.

Authors

Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/ictbig64922.2024.10911283
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Assisted Teaching Support for Answering Frequently Asked Questions and Generating Educational Content

Vijay Singh, Shikha Tiwari, Garima Sahu, Harsha Tewani et al.
Educational Technology and Assessment
article

AI Assisted Teaching Support for Answering Frequently Asked Questions and Generating Educational Content

Vijay Singh, Shikha Tiwari, Garima Sahu, Harsha Tewani, Gunjan Tewani
article en

Abstract

This research describes a high-tech AI-powered system that answers student inquiries and creates useful material to improve learning. We use AI and NLP to vectorize student inquiries using word embeddings and match them with commonly requested questions. Students utilize cosine resemblance to get the best solutions with instructor assistance. Feedback loops and gradient descent improve the system's accuracy and relevance. The system answers questions and creates lessons by highlighting key concepts and building on them using NLP. Multimedia makes learning entertaining and personalized. Performance studies reveal that the system outperforms existing approaches in content accuracy, reaction time, and scenario relevance. You can simply extend and alter the approach, and it works well with many teaching resources, making it safe and successful in many learning contexts. Results suggest that an AI-powered approach may improve education by providing speedy, accurate, and relevant responses. This will affect educational information delivery and utilization.

Quality Education
Openalex Percentile: Top 55%
Educational Technology and Assessment
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AI Assisted Teaching Support for Answering Frequently Asked Questions and Generating Educational Content — Vijay Singh, Shikha Tiwari, et al. · (2024) | TGRS Research Map | TGRS