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Upload date
2 Sep 2026
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Educational information
Target Group
Educators and teachers
Researchers
University students
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Resource Type
Handbook or guide
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Language
English
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Education Sector
Continuing professional development
Higher education
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Estimated Learning Duration
2–5 hours
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Machine Learning and Sentiment Analysis for Predicting Academic Success Handbook.pdf
This document is a comprehensive handbook detailing the research project "Growth Mind-set through Resilient Intelligent Technologies," which integrates machine learning and sentiment analysis to predict academic success through non-cognitive skills. It includes sections on data analysis methods, machine learning model development, implications for education, and practical guidance for educators. AI generated
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- 📁 AI Model
- Machine Learning and Sentiment Analysis for Predicting Academic Success Handbook.pdf (3.28 MB)
- 📁 Handbook
- Abstract German.pdf (101.98 KB)
- Abstract Greek.pdf (109.27 KB)
- Abstract Italian.pdf (98.83 KB)
- Abstract Lithuanian.pdf (99.07 KB)
- Abstract Romanian.pdf (101.89 KB)
- Abstract Slovenian.pdf (93.25 KB)
- GRIT Handbook English Combined.pdf (5.35 MB)
- Section 1.1.1 Slides.pptx (4.10 MB)
- Section 1.1.1 Text.pdf (1.11 MB)
- Section 1.1.2 Slides.pptx (10.11 MB)
- Section 1.1.2 Text.pdf (330.68 KB)
- Section 1.1.3 Slides.pptx (2.64 MB)
- Section 1.1.3 Text.pdf (471.48 KB)
- Section 1.2.1 Slides.pptx (2.36 MB)
- Section 1.2.1 Text.pdf (640.29 KB)
- Section 1.2.2 Slides.pptx (5.69 MB)
- Section 1.2.2 Text.pdf (224.88 KB)
- Section 1.2.3 Slides.pptx (6.03 MB)
- Section 1.2.3 Text.pdf (256.39 KB)
- Section 1.2.4 Slides.pptx (5.22 MB)
- Section 1.2.4 Text.pdf (1.68 MB)
- Section 2.1 Slides.pptx (7.76 MB)
- Section 2.1 Text.pdf (506.64 KB)
- Section 2.2 Slides.pptx (7.76 MB)
- Section 2.2 Text.pdf (414.98 KB)
- Section 2.3 Slides.pptx (7.76 MB)
- Section 2.3 Text.pdf (731.08 KB)
- Section 3.1 Text.pdf (674.87 KB)
- Section 3.2 Text.pdf (246.93 KB)
- Section 3.3 Text.pdf (498.97 KB)
Project information
Acronym
GRIT
Title
Growth mind-set through Resilient Intelligent Technologies
Description
GRIT’s general objective is to improve non-cognitive skills’ development in young researchers and students in order to support social-awareness, civic commitment and public engagement through machine learning techniques, sentiment analysis and gamification. Specific objectives are the improvement of: 1.HEIs’ social dimension to empower academic civic commitment, public engagement & social innovation; 2.new dimension in continuing education; 3.academic communities’ resilience for open innovation.
Project Duration
Sep 2022 to Jun 2025
Project EQF levels
N/A
Project Reference Code/ID
N/A
Project copyright license
N/A
Materials
31 files | 76.31 MB
Last updated
09/2026
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