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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23479
Article Published : 9055
Total Authors : 24029
Total Reviewer : 831
Total Countries : 162
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| Paper Title: | Intelligent Multimodal Emotion Recognition Framework for Personalized and Adaptive STEM Education |
| Authors Name: | Dr.Yogesh S. Khandekar |
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IJRTI_210756
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| Published Paper Id: | IJRTI2603168 |
| Published In: | Volume 11 Issue 3, March-2026 |
| DOI: | |
| Abstract: | This study presents the design and development of an emotion-aware learning framework aimed at enhancing personalized education in STEM domains. The proposed system employs facial emotion recognition to capture and analyze learners’ affective states during interactive sessions. A Convolutional Neural Network (CNN) model, trained on the FER2013 dataset, is utilized for real-time emotion classification using Python, TensorFlow, and OpenCV. The framework interprets emotions such as happiness, sadness, and neutrality to assess engagement levels and adapt instructional strategies accordingly. Experimental evaluation demonstrates high reliability in emotion detection under controlled lighting and posture conditions. The developed model forms a core component of a larger multimodal architecture, which will subsequently integrate audio and textual sentiment analysis to improve learner profiling. This work contributes toward adaptive learning systems capable of understanding student emotions and dynamically optimizing content delivery for improved cognitive and emotional engagement. |
| Keywords: | Emotion Recognition, Adaptive Learning, STEM Education, Convolutional Neural Network, Multimodal Framework. |
| Cite Article: | "Intelligent Multimodal Emotion Recognition Framework for Personalized and Adaptive STEM Education", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.b595-b602, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603168.pdf |
| Downloads: | 00089 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2603168
Registration ID:210756
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: b595-b602 Country: Amravati, Maharashtra, India Research Area: Civil Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603168 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603168 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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